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  "aboutHtml": "<p>Qwen-Audio-3.0-TTS-Flash converts a supplied script into speech, with the Flash edition focused on real-time interaction. Qwen identifies voice assistants, interactive dialogue and intelligent customer service as its main applications. Compared with the preceding version, the producer describes broader low-resource-language and Chinese-dialect support, more authentic dialect expression and stronger control of emotion, tone, character, speed, volume and speaking style. It also reports improved clarity and robustness in noisy or reverberant acoustic conditions. This is text-to-audio synthesis, rather than recognition of incoming speech or a voice-dialogue model.</p><p>Flash prioritises the start of speech in an interactive exchange. Qwen reports first-packet latency within 200 milliseconds for this model’s real-time synthesis; its usage guide also notes that the initial connection setup contributes to the first submission’s measured delay. Prepare the actual words to be spoken separately from the desired delivery. For a voice-assistant response, an illustrative brief could combine a concise answer with a calm, clear delivery instruction. The relevant result is the generated speech for that text, with the application handling playback and the surrounding conversation.</p><p>The producer’s system-voice list includes model-specific options such as Long An Feng Yue for a natural, friendly delivery and Long An Xiao Xin for a friendly, lively delivery, both listed for Mandarin and English. It also includes English voices such as loongmary with a British accent and loongjohn with a calm, friendly American accent. Each model additionally has more than 500 base voices. Qwen recommends starting with system voices for consistency and assessing previews when selecting a base voice. A voice must belong to the selected model, and the script must use a language that voice supports.</p><p>Cloned voices broaden the documented language range to Chinese, English, Japanese, Korean, Russian, French, German, Portuguese, Thai, Indonesian, Vietnamese, Spanish, Italian, Malay, Filipino and Arabic. The Chinese coverage includes Mandarin, Cantonese, Chongqing, Northeastern, Gansu, Guizhou, Zhejiang, Hebei, Henan, Hubei, Hunan, Jiangxi, Ningbo, Ningxia, Qingdao, Shaanxi, Shanxi, Shandong, Shanghainese, Sichuan and Yunnan varieties, with dialect selection through instructions. The model table supports sample-based voice cloning and distinguishes it from creating a new voice solely from a text description, which this edition does not support.</p><p>For cloning, the producer recommends a 10–20-second recording, with a 60-second maximum and a file size no greater than 10 MB. The supported reference formats are 16-bit WAV, MP3 and M4A, at a sample rate of at least 16 kHz. The recording needs at least five seconds of continuous clear speech; other pauses should be no longer than two seconds. Avoid background sound, other voices and singing. Stereo is accepted, but only the first channel is processed. The cloning workflow returns a voice identifier bound to the exact target model, and synthesis uses that identifier once the voice is ready. The same recording requires separate cloned voices for Flash and Plus.</p><p>Natural-language instructions control delivery for both system and cloned voices. Describe audible qualities such as a gentle tone, clear articulation or a slightly slower pace. Inline tags provide a different control: [empathetic] or [serious] sets a style for subsequent text, while [laughing] or [sighing] inserts a vocal effect at a particular position. A control tag lasts until another control tag or automatic sentence segmentation. These emotion and rich-language tags are documented only for unidirectional streaming, rather than the bidirectional text-input mode. Prepare an expressive line in the mode appropriate to those controls.</p><p>The producer’s speech interface supports PCM, WAV, MP3 and Opus. Its listed sample rates are 8,000, 16,000, 22,050, 24,000, 44,100 and 48,000 Hz, with MP3 and 22,050 Hz as defaults. Volume ranges from 0 to 100; speech rate and pitch each range from 0.5 to 2.0. MP3 and Opus also expose a bitrate setting from 6 to 510 kbps. Select a format and sample rate to match the intended player or processing workflow. For an interactive application, the producer documents streaming audio frames and sentence metadata, with word-level timestamps available in streaming output for eligible voices, including cloned voices.</p><p>The documented WebSocket text protocol accepts up to 20,000 characters in one text message and 200,000 characters cumulatively in a task, with no more than 23 seconds between submissions. These are producer protocol limits, separate from a universal model output-duration limit. It supports cancellation of the current synthesis turn and a subsequent task on the same connection. Keep text segments in their intended spoken order and end the input when the script is complete. For pronunciation preparation, the producer documents target-language hints, pinyin annotations and text replacements, useful when digits, abbreviations or symbols are spoken unexpectedly.</p><p>SSML is a separate markup option with voice and interaction-mode conditions: Qwen documents it for cloned voices, with non-streaming or unidirectional-streaming calls, and a single text submission when SSML is enabled. It should not be assumed for every preset voice or bidirectional stream. For ordinary dialogue, begin with a compatible voice, a clean spoken script and a specific delivery instruction; add targeted pronunciation or expressive controls where the task requires them. This keeps the Flash profile centred on responsive speech from prepared text rather than on capabilities of other Qwen audio models.</p>",
  "aboutText": "Qwen-Audio-3.0-TTS-Flash converts a supplied script into speech, with the Flash edition focused on real-time interaction. Qwen identifies voice assistants, interactive dialogue and intelligent customer service as its main applications. Compared with the preceding version, the producer describes broader low-resource-language and Chinese-dialect support, more authentic dialect expression and stronger control of emotion, tone, character, speed, volume and speaking style. It also reports improved clarity and robustness in noisy or reverberant acoustic conditions. This is text-to-audio synthesis, rather than recognition of incoming speech or a voice-dialogue model.\n\nFlash prioritises the start of speech in an interactive exchange. Qwen reports first-packet latency within 200 milliseconds for this model’s real-time synthesis; its usage guide also notes that the initial connection setup contributes to the first submission’s measured delay. Prepare the actual words to be spoken separately from the desired delivery. For a voice-assistant response, an illustrative brief could combine a concise answer with a calm, clear delivery instruction. The relevant result is the generated speech for that text, with the application handling playback and the surrounding conversation.\n\nThe producer’s system-voice list includes model-specific options such as Long An Feng Yue for a natural, friendly delivery and Long An Xiao Xin for a friendly, lively delivery, both listed for Mandarin and English. It also includes English voices such as loongmary with a British accent and loongjohn with a calm, friendly American accent. Each model additionally has more than 500 base voices. Qwen recommends starting with system voices for consistency and assessing previews when selecting a base voice. A voice must belong to the selected model, and the script must use a language that voice supports.\n\nCloned voices broaden the documented language range to Chinese, English, Japanese, Korean, Russian, French, German, Portuguese, Thai, Indonesian, Vietnamese, Spanish, Italian, Malay, Filipino and Arabic. The Chinese coverage includes Mandarin, Cantonese, Chongqing, Northeastern, Gansu, Guizhou, Zhejiang, Hebei, Henan, Hubei, Hunan, Jiangxi, Ningbo, Ningxia, Qingdao, Shaanxi, Shanxi, Shandong, Shanghainese, Sichuan and Yunnan varieties, with dialect selection through instructions. The model table supports sample-based voice cloning and distinguishes it from creating a new voice solely from a text description, which this edition does not support.\n\nFor cloning, the producer recommends a 10–20-second recording, with a 60-second maximum and a file size no greater than 10 MB. The supported reference formats are 16-bit WAV, MP3 and M4A, at a sample rate of at least 16 kHz. The recording needs at least five seconds of continuous clear speech; other pauses should be no longer than two seconds. Avoid background sound, other voices and singing. Stereo is accepted, but only the first channel is processed. The cloning workflow returns a voice identifier bound to the exact target model, and synthesis uses that identifier once the voice is ready. The same recording requires separate cloned voices for Flash and Plus.\n\nNatural-language instructions control delivery for both system and cloned voices. Describe audible qualities such as a gentle tone, clear articulation or a slightly slower pace. Inline tags provide a different control: [empathetic] or [serious] sets a style for subsequent text, while [laughing] or [sighing] inserts a vocal effect at a particular position. A control tag lasts until another control tag or automatic sentence segmentation. These emotion and rich-language tags are documented only for unidirectional streaming, rather than the bidirectional text-input mode. Prepare an expressive line in the mode appropriate to those controls.\n\nThe producer’s speech interface supports PCM, WAV, MP3 and Opus. Its listed sample rates are 8,000, 16,000, 22,050, 24,000, 44,100 and 48,000 Hz, with MP3 and 22,050 Hz as defaults. Volume ranges from 0 to 100; speech rate and pitch each range from 0.5 to 2.0. MP3 and Opus also expose a bitrate setting from 6 to 510 kbps. Select a format and sample rate to match the intended player or processing workflow. For an interactive application, the producer documents streaming audio frames and sentence metadata, with word-level timestamps available in streaming output for eligible voices, including cloned voices.\n\nThe documented WebSocket text protocol accepts up to 20,000 characters in one text message and 200,000 characters cumulatively in a task, with no more than 23 seconds between submissions. These are producer protocol limits, separate from a universal model output-duration limit. It supports cancellation of the current synthesis turn and a subsequent task on the same connection. Keep text segments in their intended spoken order and end the input when the script is complete. For pronunciation preparation, the producer documents target-language hints, pinyin annotations and text replacements, useful when digits, abbreviations or symbols are spoken unexpectedly.\n\nSSML is a separate markup option with voice and interaction-mode conditions: Qwen documents it for cloned voices, with non-streaming or unidirectional-streaming calls, and a single text submission when SSML is enabled. It should not be assumed for every preset voice or bidirectional stream. For ordinary dialogue, begin with a compatible voice, a clean spoken script and a specific delivery instruction; add targeted pronunciation or expressive controls where the task requires them. This keeps the Flash profile centred on responsive speech from prepared text rather than on capabilities of other Qwen audio models.",
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      "html": "<div class=\"sheet-head\"><span class=\"mav\" aria-hidden=\"true\">Al</span><h2 id=\"sheet-title\">Qwen: Qwen-Audio-3.0-TTS Flash</h2><button class=\"icon-btn\" type=\"button\" data-close-sheet aria-label=\"Close\">×</button></div><div class=\"idline\"><span>Alibaba /</span><code>qwen/qwen-audio-3.0-tts-flash</code><button type=\"button\" id=\"copy-id\">Copy ID</button></div><nav class=\"card-jump-nav\" aria-label=\"Model card sections\"><button type=\"button\" data-card-jump=\"overview\">Overview</button><button type=\"button\" data-card-jump=\"methods\">Inputs &amp; methods</button><button type=\"button\" data-card-jump=\"pricing\">Pricing</button><button type=\"button\" data-card-jump=\"examples\">Examples</button><button type=\"button\" data-card-jump=\"results\">Results</button><button type=\"button\" data-card-jump=\"aliases\">Aliases</button></nav><div class=\"card-method-tabs\" role=\"tablist\" aria-label=\"API methods\"><button type=\"button\" role=\"tab\" tabindex=\"0\" aria-controls=\"card-method-content\" aria-selected=\"true\" id=\"card-method-tab-0\" data-card-method=\"Ultra|speech|/v1/audio/speech|qwen%2Fqwen-audio-3.0-tts-flash\">Text to speech</button></div><div id=\"card-method-content\" role=\"tabpanel\" aria-labelledby=\"card-method-tab-0\"><section class=\"card-section\" data-card-section=\"overview\"><h3 tabindex=\"-1\">Overview</h3><p class=\"mdesc-full\">Qwen-Audio-3.0-TTS-Flash is Qwen’s text-to-speech model focused on responsive voice assistants and interactive dialogue. It combines streaming synthesis, model-specific preset or cloned voices, and instructions or tags for expressive speech.</p><dl class=\"card-io\" data-card-io><div><dt>Accepted inputs</dt><dd>Text</dd></div><div><dt>Results</dt><dd>Audio</dd></div></dl><details class=\"card-about\"><summary>About the model</summary><p class=\"note-s\" data-model-method-boundary>This description covers the model’s capabilities. Available in Ailoot inputs, outputs and options are listed for the selected method below.</p><div class=\"mabout\" id=\"m-about\"><p>Qwen-Audio-3.0-TTS-Flash converts a supplied script into speech, with the Flash edition focused on real-time interaction. Qwen identifies voice assistants, interactive dialogue and intelligent customer service as its main applications. Compared with the preceding version, the producer describes broader low-resource-language and Chinese-dialect support, more authentic dialect expression and stronger control of emotion, tone, character, speed, volume and speaking style. It also reports improved clarity and robustness in noisy or reverberant acoustic conditions. This is text-to-audio synthesis, rather than recognition of incoming speech or a voice-dialogue model.</p><p>Flash prioritises the start of speech in an interactive exchange. Qwen reports first-packet latency within 200 milliseconds for this model’s real-time synthesis; its usage guide also notes that the initial connection setup contributes to the first submission’s measured delay. Prepare the actual words to be spoken separately from the desired delivery. For a voice-assistant response, an illustrative brief could combine a concise answer with a calm, clear delivery instruction. The relevant result is the generated speech for that text, with the application handling playback and the surrounding conversation.</p><p>The producer’s system-voice list includes model-specific options such as Long An Feng Yue for a natural, friendly delivery and Long An Xiao Xin for a friendly, lively delivery, both listed for Mandarin and English. It also includes English voices such as loongmary with a British accent and loongjohn with a calm, friendly American accent. Each model additionally has more than 500 base voices. Qwen recommends starting with system voices for consistency and assessing previews when selecting a base voice. A voice must belong to the selected model, and the script must use a language that voice supports.</p><p>Cloned voices broaden the documented language range to Chinese, English, Japanese, Korean, Russian, French, German, Portuguese, Thai, Indonesian, Vietnamese, Spanish, Italian, Malay, Filipino and Arabic. The Chinese coverage includes Mandarin, Cantonese, Chongqing, Northeastern, Gansu, Guizhou, Zhejiang, Hebei, Henan, Hubei, Hunan, Jiangxi, Ningbo, Ningxia, Qingdao, Shaanxi, Shanxi, Shandong, Shanghainese, Sichuan and Yunnan varieties, with dialect selection through instructions. The model table supports sample-based voice cloning and distinguishes it from creating a new voice solely from a text description, which this edition does not support.</p><p>For cloning, the producer recommends a 10–20-second recording, with a 60-second maximum and a file size no greater than 10 MB. The supported reference formats are 16-bit WAV, MP3 and M4A, at a sample rate of at least 16 kHz. The recording needs at least five seconds of continuous clear speech; other pauses should be no longer than two seconds. Avoid background sound, other voices and singing. Stereo is accepted, but only the first channel is processed. The cloning workflow returns a voice identifier bound to the exact target model, and synthesis uses that identifier once the voice is ready. The same recording requires separate cloned voices for Flash and Plus.</p><p>Natural-language instructions control delivery for both system and cloned voices. Describe audible qualities such as a gentle tone, clear articulation or a slightly slower pace. Inline tags provide a different control: [empathetic] or [serious] sets a style for subsequent text, while [laughing] or [sighing] inserts a vocal effect at a particular position. A control tag lasts until another control tag or automatic sentence segmentation. These emotion and rich-language tags are documented only for unidirectional streaming, rather than the bidirectional text-input mode. Prepare an expressive line in the mode appropriate to those controls.</p><p>The producer’s speech interface supports PCM, WAV, MP3 and Opus. Its listed sample rates are 8,000, 16,000, 22,050, 24,000, 44,100 and 48,000 Hz, with MP3 and 22,050 Hz as defaults. Volume ranges from 0 to 100; speech rate and pitch each range from 0.5 to 2.0. MP3 and Opus also expose a bitrate setting from 6 to 510 kbps. Select a format and sample rate to match the intended player or processing workflow. For an interactive application, the producer documents streaming audio frames and sentence metadata, with word-level timestamps available in streaming output for eligible voices, including cloned voices.</p><p>The documented WebSocket text protocol accepts up to 20,000 characters in one text message and 200,000 characters cumulatively in a task, with no more than 23 seconds between submissions. These are producer protocol limits, separate from a universal model output-duration limit. It supports cancellation of the current synthesis turn and a subsequent task on the same connection. Keep text segments in their intended spoken order and end the input when the script is complete. For pronunciation preparation, the producer documents target-language hints, pinyin annotations and text replacements, useful when digits, abbreviations or symbols are spoken unexpectedly.</p><p>SSML is a separate markup option with voice and interaction-mode conditions: Qwen documents it for cloned voices, with non-streaming or unidirectional-streaming calls, and a single text submission when SSML is enabled. It should not be assumed for every preset voice or bidirectional stream. For ordinary dialogue, begin with a compatible voice, a clean spoken script and a specific delivery instruction; add targeted pronunciation or expressive controls where the task requires them. This keeps the Flash profile centred on responsive speech from prepared text rather than on capabilities of other Qwen audio models.</p></div></details></section><section class=\"card-section\" data-card-section=\"methods\"><h3 tabindex=\"-1\">Available in Ailoot · inputs &amp; methods</h3><details class=\"card-method\" open><summary><b>Ailoot Ultra · Text to speech</b> <code>POST /v1/audio/speech</code></summary><dl class=\"method-capabilities\"><div><dt>Input types</dt><dd><code>text</code></dd></div><div><dt>Output types</dt><dd><code>audio</code></dd></div><div><dt>Output format</dt><dd>mp3</dd></div></dl><div class=\"tw\" data-card-parameters data-typed-parameters><table><thead><tr><th>Field</th><th>Type</th><th>Requirement</th><th>Values &amp; limits</th><th>Default</th></tr></thead><tbody><tr data-parameter-availability=\"source_interface\"><th data-cell-label=\"Field\" scope=\"row\"><span class=\"card-cell-label\">Field</span><code class=\"card-field-name\">model</code></th><td data-cell-label=\"Type\" data-field-type><span class=\"card-cell-label\">Type</span><code>string</code></td><td data-cell-label=\"Requirement\"><span class=\"card-cell-label\">Requirement</span>Required</td><td data-cell-label=\"Values &amp; limits\"><span class=\"card-cell-label\">Values &amp; limits</span><div>qwen/qwen-audio-3.0-tts-flash</div></td><td data-cell-label=\"Default\" data-default=\"unspecified\"><span class=\"card-cell-label\">Default</span>—</td></tr><tr data-parameter-availability=\"source_interface\"><th data-cell-label=\"Field\" scope=\"row\"><span class=\"card-cell-label\">Field</span><code class=\"card-field-name\">input</code></th><td data-cell-label=\"Type\" data-field-type><span class=\"card-cell-label\">Type</span><code>string</code></td><td data-cell-label=\"Requirement\"><span class=\"card-cell-label\">Requirement</span>Required</td><td data-cell-label=\"Values &amp; limits\"><span class=\"card-cell-label\">Values &amp; limits</span><div>Minimum length: 1</div><div>Unit: Unicode characters</div></td><td data-cell-label=\"Default\" data-default=\"unspecified\"><span class=\"card-cell-label\">Default</span>—</td></tr><tr data-parameter-availability=\"source_interface\"><th data-cell-label=\"Field\" scope=\"row\"><span class=\"card-cell-label\">Field</span><code class=\"card-field-name\">voice</code></th><td data-cell-label=\"Type\" data-field-type><span class=\"card-cell-label\">Type</span><code>string</code></td><td data-cell-label=\"Requirement\"><span class=\"card-cell-label\">Requirement</span>Required</td><td data-cell-label=\"Values &amp; limits\"><span class=\"card-cell-label\">Values &amp; limits</span><div>loongjohn, longanhuan_v3.6</div></td><td data-cell-label=\"Default\" data-default=\"unspecified\"><span class=\"card-cell-label\">Default</span>—</td></tr><tr data-parameter-availability=\"source_interface\"><th data-cell-label=\"Field\" scope=\"row\"><span class=\"card-cell-label\">Field</span><code class=\"card-field-name\">response_format</code></th><td data-cell-label=\"Type\" data-field-type><span class=\"card-cell-label\">Type</span><code>string</code></td><td data-cell-label=\"Requirement\"><span class=\"card-cell-label\">Requirement</span>Required</td><td data-cell-label=\"Values &amp; limits\"><span class=\"card-cell-label\">Values &amp; limits</span><div>mp3</div></td><td data-cell-label=\"Default\" data-default=\"unspecified\"><span class=\"card-cell-label\">Default</span>—</td></tr></tbody></table></div><details class=\"card-about\" data-material-combinations><summary>Input material combinations</summary><p class=\"note-s\"><b>text_to_speech</b> · Required: input</p></details><details class=\"note-s\" data-method-contract><summary>Method parameters and lifecycle</summary><div class=\"tw\" data-card-table=\"contract\"><table><thead><tr><th>Parameter</th><th>Contract</th></tr></thead><tbody><tr><th data-cell-label=\"Parameter\" scope=\"row\"><span class=\"card-cell-label\">Parameter</span><code>content_type</code></th><td data-cell-label=\"Contract\"><span class=\"card-cell-label\">Contract</span>application/json</td></tr><tr><th data-cell-label=\"Parameter\" scope=\"row\"><span class=\"card-cell-label\">Parameter</span><code>required</code></th><td data-cell-label=\"Contract\"><span class=\"card-cell-label\">Contract</span>model, input, voice, response_format</td></tr><tr><th data-cell-label=\"Parameter\" scope=\"row\"><span class=\"card-cell-label\">Parameter</span><code>voice_ids</code></th><td data-cell-label=\"Contract\"><span class=\"card-cell-label\">Contract</span>loongjohn, longanhuan_v3.6</td></tr><tr><th data-cell-label=\"Parameter\" scope=\"row\"><span class=\"card-cell-label\">Parameter</span><code>response_format</code></th><td data-cell-label=\"Contract\"><span class=\"card-cell-label\">Contract</span>mp3</td></tr><tr><th data-cell-label=\"Parameter\" scope=\"row\"><span class=\"card-cell-label\">Parameter</span><code>max_input_characters</code></th><td data-cell-label=\"Contract\"><span class=\"card-cell-label\">Contract</span>null</td></tr><tr><th data-cell-label=\"Parameter\" scope=\"row\"><span class=\"card-cell-label\">Parameter</span><code>other_options</code></th><td data-cell-label=\"Contract\"><span class=\"card-cell-label\">Contract</span>false</td></tr><tr><th data-cell-label=\"Parameter\" scope=\"row\"><span class=\"card-cell-label\">Parameter</span><code>input</code></th><td data-cell-label=\"Contract\"><span class=\"card-cell-label\">Contract</span>exact UTF-8 text; Unicode character count without normalization</td></tr><tr><th data-cell-label=\"Parameter\" scope=\"row\"><span class=\"card-cell-label\">Parameter</span><code>material_types</code></th><td data-cell-label=\"Contract\"><span class=\"card-cell-label\">Contract</span>text</td></tr></tbody></table></div><p>Lifecycle: <code>synchronous_result_then_owned_library</code></p><p class=\"note-s\"><code>GET /v1/media/tasks/{task_id}</code> · actual returned task_id or media library record</p><p class=\"note-s\"><code>GET /v1/media/assets/{asset_id}/content</code></p><p class=\"note-s\"><code>GET /v1/media/assets</code></p><p class=\"note-s\"><code>GET /v1/media/assets/{asset_id}</code></p><p class=\"note-s\">Select exact voice from this model profile.</p><p class=\"note-s\">Input characters and audio seconds are different meters.</p></details></details></section><section class=\"card-section\" data-card-section=\"pricing\"><h3 tabindex=\"-1\">Pricing</h3><div data-native-semantic-method=\"v1\" data-tariff-reference-only><p class=\"note-s\" data-rate-support-note>Tariff references do not add request options. Supported parameters are listed for the selected method.</p><dl data-price-conditions><dt>Fast mode</dt><dd>Not specified <span class=\"note-s\">When fast mode is selected</span></dd><dt>Flex mode</dt><dd>Not specified <span class=\"note-s\">When flex mode is selected</span></dd><dt>Maximum reasoning effort</dt><dd>Not specified <span class=\"note-s\">When maximum reasoning effort uses the default adjustment</span></dd></dl></div><div data-declared-tariff-pricing><h4>Ailoot rates</h4><h4>Prices by configuration</h4><p class=\"note-s\">Match each charge to the conditions shown. Use one rate for each set of alternative configurations.</p><div class=\"tw\" data-pricing-profiles><table><thead><tr><th>Configuration</th><th>Rate schedule</th><th>Billable quantity</th><th>Billing unit</th><th>Charge</th></tr></thead><tbody><tr><th data-cell-label=\"Configuration\" scope=\"row\"><span class=\"card-cell-label\">Configuration</span>Base token rates</th><td data-cell-label=\"Rate schedule\"><span class=\"card-cell-label\">Rate schedule</span>Base rate</td><td data-cell-label=\"Billable quantity\"><span class=\"card-cell-label\">Billable quantity</span>—</td><td data-cell-label=\"Billing unit\"><span class=\"card-cell-label\">Billing unit</span>—</td><td data-cell-label=\"Charge\"><span class=\"card-cell-label\">Charge</span><div><span>Input · Input tokens</span> <b>—</b> <span class=\"price-unit\">/ 1K tokens</span></div><div><span>Output · Output tokens</span> <b>—</b> <span class=\"price-unit\">/ 1K tokens</span></div><div><span>Input · Cache read</span> <b>—</b> <span class=\"price-unit\">/ 1K tokens</span></div><div><span>Input · Cache write</span> <b>—</b> <span class=\"price-unit\">/ 1K tokens</span></div><div><span>Input · Cache write, 1 hour</span> <b>—</b> <span class=\"price-unit\">/ 1K tokens</span></div></td></tr><tr><th data-cell-label=\"Configuration\" scope=\"row\"><span class=\"card-cell-label\">Configuration</span>Ultra</th><td data-cell-label=\"Rate schedule\"><span class=\"card-cell-label\">Rate schedule</span>—</td><td data-cell-label=\"Billable quantity\"><span class=\"card-cell-label\">Billable quantity</span>Each Unicode code point counts as one character, including Han characters.</td><td data-cell-label=\"Billing unit\"><span class=\"card-cell-label\">Billing unit</span>per 1000 input character</td><td data-cell-label=\"Charge\"><span class=\"card-cell-label\">Charge</span><div><span>Input · input character</span> <b>$0.03</b> <span class=\"price-unit\">per 1000 input character</span></div></td></tr></tbody></table></div></div><div data-declared-reference-pricing><h4>Reference tariff details</h4><p class=\"note-s\">Model-level reference schedules do not change method selection, quotes or charges. Active charges use the selected Ailoot method rates.</p><details class=\"card-price-reference\" data-declared-reference-group data-client-selectable=\"false\"><summary>Qwen: Qwen-Audio-3.0-TTS Flash</summary><h4>Prices by configuration</h4><div class=\"tw\" data-pricing-profiles><table><thead><tr><th>Configuration</th><th>Billing conditions</th><th>Charge</th></tr></thead><tbody><tr><th data-cell-label=\"Configuration\" scope=\"row\"><span class=\"card-cell-label\">Configuration</span>Qwen: Qwen-Audio-3.0-TTS Flash · Default configuration</th><td data-cell-label=\"Billing conditions\"><span class=\"card-cell-label\">Billing conditions</span>Default configuration</td><td data-cell-label=\"Charge\"><span class=\"card-cell-label\">Charge</span><div><span>Input · Input characters</span> <b>$0.00003</b> <span class=\"price-unit\">per input character</span></div></td></tr></tbody></table></div></details></div><p class=\"note-s\">Ailoot reserves an estimated amount before a request. After the result, it settles the final charge from measured usage. Streaming settlement uses the final usage record. <a href=\"/docs/en/billing/reserve/\">How reservation and settlement work →</a></p></section><section class=\"card-section\" data-card-section=\"examples\"><h3 tabindex=\"-1\">Example requests</h3><h4>Ailoot Ultra · Text to speech</h4><div class=\"code-group\"><div class=\"cg-bar\"><div class=\"cg-tabs\" role=\"tablist\" aria-label=\"Code options\"><button class=\"cg-tab\" id=\"model-code-2360-tab-0\" role=\"tab\" type=\"button\" aria-controls=\"model-code-2360-panel-0\" aria-selected=\"true\" tabindex=\"0\">curl</button></div><div class=\"cg-tools\"><button class=\"cg-btn cg-copy\" type=\"button\" aria-label=\"Copy code\"><svg class=\"cp\" viewBox=\"0 0 16 16\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.4\"><rect x=\"5.25\" y=\"5.25\" width=\"8.5\" height=\"8.5\" rx=\"1.75\"/><path d=\"M10.75 5.25V3.5a1.25 1.25 0 0 0-1.25-1.25H3.5A1.25 1.25 0 0 0 2.25 3.5v6a1.25 1.25 0 0 0 1.25 1.25h1.75\"/></svg><svg class=\"ok\" viewBox=\"0 0 16 16\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.4\"><path d=\"m3 8.5 3.25 3.25L13 5\"/></svg></button></div></div><div class=\"cg-body\"><div class=\"cg-pane\" id=\"model-code-2360-panel-0\" role=\"tabpanel\" aria-labelledby=\"model-code-2360-tab-0\"><pre data-lang=\"bash\"><code>set -eu\n: &quot;${AILOOT_API_KEY:?Set your Ailoot API key}&quot;\n: &quot;${AILOOT_VOICE_ID:?Choose an accepted voice ID from this exact model profile}&quot;\nexport AILOOT_VOICE_ID\npython3 - &lt;&lt;&#39;PY_REQUEST&#39;\nimport json,os\nfrom pathlib import Path\np=json.loads(&#39;{&quot;model&quot;: &quot;qwen/qwen-audio-3.0-tts-flash&quot;, &quot;input&quot;: &quot;Good afternoon! This is a short voice take.&quot;}&#39;)\nvoice=os.environ[&quot;AILOOT_VOICE_ID&quot;]\nallowed=json.loads(&#39;[&quot;loongjohn&quot;, &quot;longanhuan_v3.6&quot;]&#39;)\nif voice not in allowed: raise SystemExit(&quot;Choose an accepted voice ID from this exact model profile&quot;)\np[&quot;voice&quot;]=voice\np[&quot;response_format&quot;]=&quot;mp3&quot;\nPath(&quot;request.json&quot;).write_text(json.dumps(p,ensure_ascii=False))\nPY_REQUEST\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/audio/speech \\\n  -H &quot;Authorization: Bearer $AILOOT_API_KEY&quot; -H &#39;Content-Type: application/json&#39; \\\n  --data-binary @request.json -D response-headers.txt -o speech.mp3\n</code></pre></div></div></div></section><section class=\"card-section\" data-card-section=\"results\"><h3 tabindex=\"-1\">Receive and save results</h3><h4>Ailoot Ultra · Text to speech</h4><p class=\"note-s\">mp3</p><ul class=\"card-result-paths\"><li><code>GET /v1/media/tasks/{task_id}</code></li><li><code>GET /v1/media/assets/{asset_id}/content</code></li><li><code>GET /v1/media/assets</code></li><li><code>GET /v1/media/assets/{asset_id}</code></li></ul><details class=\"card-about\"><summary>Other content reads</summary><div class=\"code-group\"><div class=\"cg-bar\"><div class=\"cg-tabs\" role=\"tablist\" aria-label=\"Code options\"><button class=\"cg-tab\" id=\"model-code-2361-tab-0\" role=\"tab\" type=\"button\" aria-controls=\"model-code-2361-panel-0\" aria-selected=\"true\" tabindex=\"0\">Media library</button><button class=\"cg-tab\" id=\"model-code-2361-tab-1\" role=\"tab\" type=\"button\" aria-controls=\"model-code-2361-panel-1\" aria-selected=\"false\" tabindex=\"-1\">Task status</button><button class=\"cg-tab\" id=\"model-code-2361-tab-2\" role=\"tab\" type=\"button\" aria-controls=\"model-code-2361-panel-2\" aria-selected=\"false\" tabindex=\"-1\">Asset details</button></div><div class=\"cg-tools\"><button class=\"cg-btn cg-copy\" type=\"button\" aria-label=\"Copy code\"><svg class=\"cp\" viewBox=\"0 0 16 16\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.4\"><rect x=\"5.25\" y=\"5.25\" width=\"8.5\" height=\"8.5\" rx=\"1.75\"/><path d=\"M10.75 5.25V3.5a1.25 1.25 0 0 0-1.25-1.25H3.5A1.25 1.25 0 0 0 2.25 3.5v6a1.25 1.25 0 0 0 1.25 1.25h1.75\"/></svg><svg class=\"ok\" viewBox=\"0 0 16 16\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.4\"><path d=\"m3 8.5 3.25 3.25L13 5\"/></svg></button></div></div><div class=\"cg-body\"><div class=\"cg-pane\" id=\"model-code-2361-panel-0\" role=\"tabpanel\" aria-labelledby=\"model-code-2361-tab-0\"><pre data-lang=\"bash\"><code>set -eu\n: &quot;${AILOOT_API_KEY:?Set your Ailoot API key}&quot;\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/media/assets \\\n  -H &quot;Authorization: Bearer $AILOOT_API_KEY&quot; -o media-assets.json\n</code></pre></div><div class=\"cg-pane\" id=\"model-code-2361-panel-1\" role=\"tabpanel\" aria-labelledby=\"model-code-2361-tab-1\" hidden><pre data-lang=\"bash\"><code>set -eu\n: &quot;${AILOOT_API_KEY:?Set your Ailoot API key}&quot;\n: &quot;${AILOOT_MEDIA_TASK_ID:?Set the actual ID returned by the response or media-library metadata}&quot;\nexport AILOOT_MEDIA_TASK_ID\nresource_id=$(python3 -c &#39;import os,urllib.parse;print(urllib.parse.quote(os.environ[&quot;AILOOT_MEDIA_TASK_ID&quot;],safe=&quot;&quot;))&#39;)\ncurl --fail-with-body --silent --show-error &quot;https://api.ailoot.ai/v1/media/tasks/$resource_id&quot; \\\n  -H &quot;Authorization: Bearer $AILOOT_API_KEY&quot; -o media-task.json\npython3 - &lt;&lt;&#39;PY_RESULT&#39;\nimport json\nfrom pathlib import Path\nprint(json.dumps(json.loads(Path(&quot;media-task.json&quot;).read_text())))\nPY_RESULT\n</code></pre></div><div class=\"cg-pane\" id=\"model-code-2361-panel-2\" role=\"tabpanel\" aria-labelledby=\"model-code-2361-tab-2\" hidden><pre data-lang=\"bash\"><code>set -eu\n: &quot;${AILOOT_API_KEY:?Set your Ailoot API key}&quot;\n: &quot;${AILOOT_ASSET_ID:?Set the actual ID returned by the response or media-library metadata}&quot;\nexport AILOOT_ASSET_ID\nresource_id=$(python3 -c &#39;import os,urllib.parse;print(urllib.parse.quote(os.environ[&quot;AILOOT_ASSET_ID&quot;],safe=&quot;&quot;))&#39;)\ncurl --fail-with-body --silent --show-error &quot;https://api.ailoot.ai/v1/media/assets/$resource_id&quot; \\\n  -H &quot;Authorization: Bearer $AILOOT_API_KEY&quot; -o media-asset.json\npython3 - &lt;&lt;&#39;PY_RESULT&#39;\nimport json\nfrom pathlib import Path\nprint(json.dumps(json.loads(Path(&quot;media-asset.json&quot;).read_text())))\nPY_RESULT\n</code></pre></div></div></div></details><div class=\"card-result-process\" data-all-results><h5>Keep all completed results</h5><p class=\"note-s\">Keep every complete returned response, file and content part.</p><p class=\"note-s\">Keep the complete binary result and headers. If JSON/multiple outputs are returned, retain every data item and fetch each actual signed asset URL.</p></div><div class=\"card-result-process\" data-unknown-recovery><h5>If the original response needs checking</h5><p class=\"note-s\">Retain original operation_id/X-Client-Request-ID for reconciliation without resubmission; no dedicated audio poll route.</p></div><details class=\"card-about\" data-output-fields><summary>Response fields</summary><div class=\"tw\" data-card-table=\"output\"><table><thead><tr><th>Field</th><th>Type</th></tr></thead><tbody><tr><th data-cell-label=\"Field\" scope=\"row\"><span class=\"card-cell-label\">Field</span><code class=\"card-field-name\">binary audio</code></th><td data-cell-label=\"Type\" data-field-type><span class=\"card-cell-label\">Type</span>bytes</td></tr><tr><th data-cell-label=\"Field\" scope=\"row\"><span class=\"card-cell-label\">Field</span><code class=\"card-field-name\">response headers</code></th><td data-cell-label=\"Type\" data-field-type><span class=\"card-cell-label\">Type</span>headers</td></tr></tbody></table></div></details><details class=\"card-about\" data-method-errors><summary>Errors and next steps</summary><div class=\"tw\" data-card-table=\"errors\"><table><thead><tr><th>Response</th><th>Condition</th><th>Next step</th></tr></thead><tbody><tr><th data-cell-label=\"Response\" scope=\"row\"><span class=\"card-cell-label\">Response</span>400 · <code>invalid_request_error</code></th><td data-cell-label=\"Condition\"><span class=\"card-cell-label\">Condition</span>Invalid required fields, material representation or parameter value</td><td data-cell-label=\"Next step\"><span class=\"card-cell-label\">Next step</span>Correct the indicated fields before a new creation request.</td></tr><tr><th data-cell-label=\"Response\" scope=\"row\"><span class=\"card-cell-label\">Response</span><code>server_error</code></th><td data-cell-label=\"Condition\"><span class=\"card-cell-label\">Condition</span>The returned response says the operation or result requires a check</td><td data-cell-label=\"Next step\"><span class=\"card-cell-label\">Next step</span>Keep the original returned operation/task ID, request headers and response; continue supported reads of that original operation. Do not resubmit the creation request.</td></tr></tbody></table></div></details></section><section class=\"card-section\" data-card-section=\"aliases\"><h3 tabindex=\"-1\">Aliases</h3><h4>Model aliases</h4><p class=\"note-s\"><span data-model-alias-route=\"Ultra\"><b>Ailoot Ultra</b> <a href=\"#m=qwen%2Fqwen-audio-3.0-tts-flash&amp;route=Ultra&amp;caller=qwen%2Fqwen-audio-3.0-tts-flash&amp;fmt=speech\"><code>qwen/qwen-audio-3.0-tts-flash</code></a></span></p><h4>Method path aliases</h4><p class=\"note-s\">Use the method paths shown above.</p><h4>Related caller IDs</h4><p class=\"note-s\"><a href=\"#m=qwen%2Fqwen-audio-3.0-tts-flash&amp;route=Ultra&amp;caller=qwen%2Fqwen-audio-3.0-tts-flash&amp;fmt=speech\"><code>qwen/qwen-audio-3.0-tts-flash</code></a></p></section></div>",
      "method_identity": {
        "effective_request_model_id": "qwen/qwen-audio-3.0-tts-flash",
        "fmt": "speech",
        "http": "POST",
        "path": "/v1/audio/speech",
        "request_model_id": "qwen/qwen-audio-3.0-tts-flash",
        "route_label": "Ultra"
      },
      "method_key": "Ultra|speech|/v1/audio/speech|qwen%2Fqwen-audio-3.0-tts-flash",
      "ordinal": 0,
      "rawMethod": {
        "available": null,
        "cache_read": null,
        "cache_write": null,
        "cache_write_1h": null,
        "contract": {
          "data": {
            "all_results": "Keep the complete binary result and headers. If JSON/multiple outputs are returned, retain every data item and fetch each actual signed asset URL.",
            "errors": [
              {
                "code": null,
                "condition": "Invalid required fields, material representation or parameter value",
                "http_status": 400,
                "recovery": "Correct the indicated fields before a new creation request.",
                "type": "invalid_request_error"
              },
              {
                "code": null,
                "condition": "The returned response says the operation or result requires a check",
                "http_status": null,
                "recovery": "Keep the original returned operation/task ID, request headers and response; continue supported reads of that original operation. Do not resubmit the creation request.",
                "type": "server_error"
              }
            ],
            "hints": [],
            "ignored_fields": [],
            "lifecycle": {
              "all_results": "Follow everyactualreturnedoutputandownedasset; no result is discardedbecauseindex0orcontent_urlalreadyexists.",
              "assets": [
                {
                  "http": "GET",
                  "path": "/v1/media/assets"
                },
                {
                  "http": "GET",
                  "path": "/v1/media/assets/{asset_id}"
                }
              ],
              "content": [
                {
                  "http": "GET",
                  "path": "/v1/media/assets/{asset_id}/content",
                  "url_source": "exact returned signed URL; never construct token"
                }
              ],
              "mode": "synchronous_result_then_owned_library",
              "operation_id_is_not_task_id": true,
              "status": [
                {
                  "http": "GET",
                  "id_source": "actual returned task_id or media library record",
                  "path": "/v1/media/tasks/{task_id}"
                }
              ],
              "unknown": "Retain original operation_id/X-Client-Request-ID for reconciliation without resubmission; no dedicated audio poll route."
            },
            "material_combinations": [
              {
                "content_type": "application/json",
                "mode": "text_to_speech",
                "required": [
                  "input"
                ]
              }
            ],
            "media_library": {
              "asset": {
                "fields": [
                  {
                    "description": null,
                    "name": "asset_id",
                    "type": "string"
                  },
                  {
                    "description": null,
                    "name": "task_id",
                    "type": "string"
                  },
                  {
                    "description": null,
                    "name": "output_key",
                    "type": "string"
                  },
                  {
                    "description": null,
                    "name": "family",
                    "type": "string"
                  },
                  {
                    "description": null,
                    "name": "model",
                    "type": "string"
                  },
                  {
                    "description": null,
                    "name": "method",
                    "type": "string"
                  },
                  {
                    "description": null,
                    "name": "status",
                    "type": "string"
                  },
                  {
                    "description": null,
                    "name": "content_type",
                    "type": "string"
                  },
                  {
                    "description": null,
                    "name": "sha256",
                    "type": "string"
                  },
                  {
                    "description": null,
                    "name": "size_bytes",
                    "type": "integer"
                  },
                  {
                    "description": null,
                    "name": "content_url",
                    "type": "string"
                  }
                ],
                "http": "GET",
                "id_source": "actual returned asset_id",
                "path": "/v1/media/assets/{asset_id}"
              },
              "content": {
                "http": "GET",
                "path": "/v1/media/assets/{asset_id}/content",
                "range_header_supported": true,
                "url_source": "Use exact returned signed content_url including its token; do not construct a token."
              },
              "expired_link": {
                "code": "link_expired",
                "http_status": 404,
                "recovery": "Read the asset again to obtain its refreshed signed content_url, then fetch that URL. Do not regenerate."
              },
              "list": {
                "all_pages": "Follow every returned next_cursor, then select records by their actual task_id/output_key.",
                "http": "GET",
                "output_fields": [
                  {
                    "description": null,
                    "name": "object",
                    "type": "string"
                  },
                  {
                    "description": null,
                    "name": "data",
                    "type": "asset[]"
                  },
                  {
                    "description": null,
                    "name": "next_cursor",
                    "type": "string|null"
                  }
                ],
                "parameters": [
                  {
                    "availability": "source_interface",
                    "default": null,
                    "default_known": false,
                    "enum": null,
                    "enum_known": false,
                    "name": "family",
                    "required": false,
                    "type": "string"
                  },
                  {
                    "availability": "source_interface",
                    "default": null,
                    "default_known": false,
                    "enum": null,
                    "enum_known": false,
                    "name": "cursor",
                    "required": false,
                    "type": "string"
                  },
                  {
                    "availability": "source_interface",
                    "default": 20,
                    "default_known": true,
                    "enum": null,
                    "enum_known": false,
                    "maximum": 100,
                    "minimum": 1,
                    "name": "limit",
                    "required": false,
                    "type": "integer"
                  }
                ],
                "path": "/v1/media/assets"
              },
              "revoke": {
                "http": "DELETE",
                "meaning": "Revokes/deletes the existing owned file; this is not generation cancellation.",
                "path": "/v1/media/assets/{asset_id}",
                "pending_status": "revoking",
                "success_statuses": [
                  202,
                  204
                ]
              },
              "task": {
                "http": "GET",
                "id_source": "actual returned task_id or media library record; operation_id is not task_id",
                "path": "/v1/media/tasks/{task_id}"
              }
            },
            "operation_modes": [
              "text_to_speech"
            ],
            "outputs": {
              "all_results": "Keep the complete binary result and headers. If JSON/multiple outputs are returned, retain every data item and fetch each actual signed asset URL.",
              "family": "audio",
              "fields": [
                {
                  "description": null,
                  "name": "binary audio",
                  "type": "bytes"
                },
                {
                  "description": null,
                  "name": "response headers",
                  "type": "headers"
                }
              ],
              "format": "mp3",
              "http_success": 200
            },
            "parameters": [
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": [
                  "qwen/qwen-audio-3.0-tts-flash"
                ],
                "enum_known": true,
                "name": "model",
                "required": true,
                "type": "string"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "limit_known": false,
                "maximum_length": null,
                "min_length": 1,
                "name": "input",
                "required": true,
                "type": "string",
                "unit": "Unicode characters"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": [
                  "loongjohn",
                  "longanhuan_v3.6"
                ],
                "enum_known": true,
                "name": "voice",
                "required": true,
                "type": "string"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": [
                  "mp3"
                ],
                "enum_known": true,
                "name": "response_format",
                "required": true,
                "type": "string"
              }
            ],
            "profile_binding": "Exact existing Ailoot model and method; interface constraints below do not assert provider qualification.",
            "unsupported": [
              "every field outside exactmodel,input,voice,response_format",
              "stream/speed/reference speech options"
            ]
          },
          "hints": [
            "Select exact voice from this model profile.",
            "Input characters and audio seconds are different meters."
          ],
          "input": {
            "content_type": "application/json",
            "input": "exact UTF-8 text; Unicode character count without normalization",
            "material_types": [
              "text"
            ],
            "max_input_characters": null,
            "other_options": false,
            "required": [
              "model",
              "input",
              "voice",
              "response_format"
            ],
            "response_format": [
              "mp3"
            ],
            "voice_ids": [
              "loongjohn",
              "longanhuan_v3.6"
            ]
          },
          "lifecycle": {
            "assets": [
              {
                "http": "GET",
                "path": "/v1/media/assets"
              },
              {
                "http": "GET",
                "path": "/v1/media/assets/{asset_id}"
              }
            ],
            "content": [
              {
                "http": "GET",
                "path": "/v1/media/assets/{asset_id}/content",
                "url_source": "exact returned signed URL; never construct token"
              }
            ],
            "mode": "synchronous_result_then_owned_library",
            "operation_id_is_not_task_id": true,
            "status": [
              {
                "http": "GET",
                "id_source": "actual returned task_id or media library record",
                "path": "/v1/media/tasks/{task_id}"
              }
            ],
            "unknown": "Retain original operation_id/X-Client-Request-ID for reconciliation without resubmission; no dedicated audio poll route."
          },
          "manufacturer_capability": null,
          "method": {
            "http": "POST",
            "path": "/v1/audio/speech"
          },
          "method_aliases": [],
          "operation_modes": [
            "text_to_speech"
          ],
          "output": {
            "family": "audio",
            "format": "mp3",
            "http_success": 200,
            "response": "full binary MP3 plus response headers",
            "result": "complete playable owned MP3"
          }
        },
        "ctx": null,
        "declared_pricing_profiles": [
          {
            "dimensions": {
              "regime": "base"
            },
            "label": "Base token rates",
            "units": [
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "output_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "output_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "cached_input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "cached_input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "generic_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "generic_cache_creation_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_1h_price",
                "label": "Cache write, 1 hour",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "one_hour_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "one_hour_cache_creation_token"
              }
            ]
          },
          {
            "dimensions": {
              "quantity_meter": "utf8.RuneCountInString(validUTF8): one Han codepoint=1; no Han weighting",
              "quoted_unit": "per 1000 input character"
            },
            "label": "Ultra",
            "units": [
              {
                "amount": "0.03000",
                "amount_unit": "usd_per_1000_characters",
                "billing_input": true,
                "estimate_only": false,
                "key": "audio_input_character",
                "label": "input character",
                "native_amount_usd_per_unit": "0.00003",
                "native_quantity": 1,
                "public_unit_label": "per 1000 input character",
                "quantity": "1000",
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "input_character"
              }
            ]
          }
        ],
        "declared_tariff_references": [
          {
            "client_selectable": false,
            "key": "1005b0881c111e8d7cb6",
            "label": "Qwen: Qwen-Audio-3.0-TTS Flash",
            "profiles": [
              {
                "basis": "",
                "dimensions": {
                  "conditions": "Default configuration"
                },
                "label": "Qwen: Qwen-Audio-3.0-TTS Flash · Default configuration",
                "units": [
                  {
                    "amount": "0.000030",
                    "amount_unit": "usd_per_exact_physical_unit",
                    "billing_input": false,
                    "key": "723fd9e7b35c0e460956bc11",
                    "label": "Input characters",
                    "public_unit_label": "per input character",
                    "quantity": "1",
                    "rate_role": "declared_tariff_rate",
                    "side": "in",
                    "unit": "input_character"
                  }
                ]
              }
            ]
          }
        ],
        "examples": [
          {
            "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\n: \"${AILOOT_VOICE_ID:?Choose an accepted voice ID from this exact model profile}\"\nexport AILOOT_VOICE_ID\npython3 - <<'PY_REQUEST'\nimport json,os\nfrom pathlib import Path\np=json.loads('{\"model\": \"qwen/qwen-audio-3.0-tts-flash\", \"input\": \"Good afternoon! This is a short voice take.\"}')\nvoice=os.environ[\"AILOOT_VOICE_ID\"]\nallowed=json.loads('[\"loongjohn\", \"longanhuan_v3.6\"]')\nif voice not in allowed: raise SystemExit(\"Choose an accepted voice ID from this exact model profile\")\np[\"voice\"]=voice\np[\"response_format\"]=\"mp3\"\nPath(\"request.json\").write_text(json.dumps(p,ensure_ascii=False))\nPY_REQUEST\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/audio/speech \\\n  -H \"Authorization: Bearer $AILOOT_API_KEY\" -H 'Content-Type: application/json' \\\n  --data-binary @request.json -D response-headers.txt -o speech.mp3\n",
            "label": "curl",
            "language": "bash"
          },
          {
            "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/media/assets \\\n  -H \"Authorization: Bearer $AILOOT_API_KEY\" -o media-assets.json\n",
            "label": "List actual media assets",
            "language": "bash"
          },
          {
            "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\n: \"${AILOOT_MEDIA_TASK_ID:?Set the actual ID returned by the response or media-library metadata}\"\nexport AILOOT_MEDIA_TASK_ID\nresource_id=$(python3 -c 'import os,urllib.parse;print(urllib.parse.quote(os.environ[\"AILOOT_MEDIA_TASK_ID\"],safe=\"\"))')\ncurl --fail-with-body --silent --show-error \"https://api.ailoot.ai/v1/media/tasks/$resource_id\" \\\n  -H \"Authorization: Bearer $AILOOT_API_KEY\" -o media-task.json\npython3 - <<'PY_RESULT'\nimport json\nfrom pathlib import Path\nprint(json.dumps(json.loads(Path(\"media-task.json\").read_text())))\nPY_RESULT\n",
            "label": "Read actual media task",
            "language": "bash"
          },
          {
            "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\n: \"${AILOOT_ASSET_ID:?Set the actual ID returned by the response or media-library metadata}\"\nexport AILOOT_ASSET_ID\nresource_id=$(python3 -c 'import os,urllib.parse;print(urllib.parse.quote(os.environ[\"AILOOT_ASSET_ID\"],safe=\"\"))')\ncurl --fail-with-body --silent --show-error \"https://api.ailoot.ai/v1/media/assets/$resource_id\" \\\n  -H \"Authorization: Bearer $AILOOT_API_KEY\" -o media-asset.json\npython3 - <<'PY_RESULT'\nimport json\nfrom pathlib import Path\nprint(json.dumps(json.loads(Path(\"media-asset.json\").read_text())))\nPY_RESULT\n",
            "label": "Read actual asset metadata",
            "language": "bash"
          }
        ],
        "family": "openai",
        "fast_multiplier": null,
        "flex_multiplier": null,
        "fmt": "speech",
        "hints": [
          "Select exact voice from this model profile.",
          "Input characters and audio seconds are different meters."
        ],
        "http": "POST",
        "in": null,
        "input": [
          "text"
        ],
        "label": "Озвучка текста",
        "max_out": null,
        "max_reasoning_effort_multiplier": null,
        "method_aliases": [],
        "out": null,
        "output": [
          "audio"
        ],
        "path": "/v1/audio/speech",
        "price_conditions": [
          {
            "label": "Fast mode",
            "value": "Not specified",
            "when": "When fast mode is selected"
          },
          {
            "label": "Flex mode",
            "value": "Not specified",
            "when": "When flex mode is selected"
          },
          {
            "label": "Maximum reasoning effort",
            "value": "Not specified",
            "when": "When maximum reasoning effort uses the default adjustment"
          }
        ],
        "pricing": {
          "billing_mode": "per_request",
          "image_input_price": null,
          "image_output_price": null,
          "per_request_price": null,
          "unit_prices": {
            "audio_input_character": 3e-05
          }
        },
        "pricing_profiles": [
          {
            "dimensions": {
              "regime": "base"
            },
            "label": "Base token rates",
            "units": [
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "output_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "output_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "cached_input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "cached_input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "generic_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "generic_cache_creation_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_1h_price",
                "label": "Cache write, 1 hour",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "one_hour_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "one_hour_cache_creation_token"
              }
            ]
          },
          {
            "dimensions": {
              "quantity_meter": "utf8.RuneCountInString(validUTF8): one Han codepoint=1; no Han weighting",
              "quoted_unit": "per 1000 input character"
            },
            "label": "Ultra",
            "units": [
              {
                "amount": "0.03000",
                "amount_unit": "usd_per_1000_characters",
                "billing_input": true,
                "estimate_only": false,
                "key": "audio_input_character",
                "label": "input character",
                "native_amount_usd_per_unit": "0.00003",
                "native_quantity": 1,
                "public_unit_label": "per 1000 input character",
                "quantity": "1000",
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "input_character"
              }
            ]
          }
        ],
        "request_model_id": "qwen/qwen-audio-3.0-tts-flash",
        "route_label": "Ultra",
        "status_reads": [
          "GET /v1/media/tasks/{task_id}",
          "GET /v1/media/assets/{asset_id}/content"
        ],
        "tiers": [],
        "units": [
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "input_price",
            "label": "Input tokens",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "input_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "input_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "output_price",
            "label": "Output tokens",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "output_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "out",
            "unit": "output_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "cache_read_price",
            "label": "Cache read",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "cached_input_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "cached_input_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "cache_write_price",
            "label": "Cache write",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "generic_cache_creation_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "generic_cache_creation_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "cache_write_1h_price",
            "label": "Cache write, 1 hour",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "one_hour_cache_creation_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "one_hour_cache_creation_token"
          },
          {
            "amount": "0.03000",
            "amount_unit": "usd_per_1000_characters",
            "billing_input": true,
            "estimate_only": false,
            "key": "audio_input_character",
            "label": "input character",
            "native_amount_usd_per_unit": "0.00003",
            "native_quantity": 1,
            "public_unit_label": "per 1000 input character",
            "quantity": "1000",
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "input_character"
          }
        ]
      }
    }
  ],
  "model_id": "qwen/qwen-audio-3.0-tts-flash",
  "nativeProvenance": {
    "input_facts_canonical_sha256": "57e380fe561f804d84a7b64719413d14125539c48c6513ea2d05a5f911b6456b",
    "input_html_sha256": "feab18ff33977695246cb44b94a50896610f583506141a6e1d992d289872aab0",
    "private_audit_sha256": "971696c8563ddf1bdc81ee0a2c0ad8bcd2875097d23d71777b107f4183bd4600",
    "role": "historical-normalized-input-audit-hashes",
    "schema": "ailoot-native-model-provenance-v2"
  },
  "page": {
    "canonical": "https://ailoot.ai/models/en/qwen-qwen-audio-3-0-tts-flash/",
    "description": "Qwen-Audio-3.0-TTS-Flash is Qwen’s text-to-speech model focused on responsive voice assistants and interactive dialogue. It combines streaming synthesis, model-specific preset or cloned voices, and instructions or tags for expressive speech.",
    "locale": "en",
    "md_url": "https://ailoot.ai/models/en/qwen-qwen-audio-3-0-tts-flash/index.md",
    "title": "Qwen: Qwen-Audio-3.0-TTS Flash — Ailoot",
    "url": "https://ailoot.ai/models/en/qwen-qwen-audio-3-0-tts-flash/"
  },
  "rawModel": {
    "about": "Qwen-Audio-3.0-TTS-Flash converts a supplied script into speech, with the Flash edition focused on real-time interaction. Qwen identifies voice assistants, interactive dialogue and intelligent customer service as its main applications. Compared with the preceding version, the producer describes broader low-resource-language and Chinese-dialect support, more authentic dialect expression and stronger control of emotion, tone, character, speed, volume and speaking style. It also reports improved clarity and robustness in noisy or reverberant acoustic conditions. This is text-to-audio synthesis, rather than recognition of incoming speech or a voice-dialogue model.\n\nFlash prioritises the start of speech in an interactive exchange. Qwen reports first-packet latency within 200 milliseconds for this model’s real-time synthesis; its usage guide also notes that the initial connection setup contributes to the first submission’s measured delay. Prepare the actual words to be spoken separately from the desired delivery. For a voice-assistant response, an illustrative brief could combine a concise answer with a calm, clear delivery instruction. The relevant result is the generated speech for that text, with the application handling playback and the surrounding conversation.\n\nThe producer’s system-voice list includes model-specific options such as Long An Feng Yue for a natural, friendly delivery and Long An Xiao Xin for a friendly, lively delivery, both listed for Mandarin and English. It also includes English voices such as loongmary with a British accent and loongjohn with a calm, friendly American accent. Each model additionally has more than 500 base voices. Qwen recommends starting with system voices for consistency and assessing previews when selecting a base voice. A voice must belong to the selected model, and the script must use a language that voice supports.\n\nCloned voices broaden the documented language range to Chinese, English, Japanese, Korean, Russian, French, German, Portuguese, Thai, Indonesian, Vietnamese, Spanish, Italian, Malay, Filipino and Arabic. The Chinese coverage includes Mandarin, Cantonese, Chongqing, Northeastern, Gansu, Guizhou, Zhejiang, Hebei, Henan, Hubei, Hunan, Jiangxi, Ningbo, Ningxia, Qingdao, Shaanxi, Shanxi, Shandong, Shanghainese, Sichuan and Yunnan varieties, with dialect selection through instructions. The model table supports sample-based voice cloning and distinguishes it from creating a new voice solely from a text description, which this edition does not support.\n\nFor cloning, the producer recommends a 10–20-second recording, with a 60-second maximum and a file size no greater than 10 MB. The supported reference formats are 16-bit WAV, MP3 and M4A, at a sample rate of at least 16 kHz. The recording needs at least five seconds of continuous clear speech; other pauses should be no longer than two seconds. Avoid background sound, other voices and singing. Stereo is accepted, but only the first channel is processed. The cloning workflow returns a voice identifier bound to the exact target model, and synthesis uses that identifier once the voice is ready. The same recording requires separate cloned voices for Flash and Plus.\n\nNatural-language instructions control delivery for both system and cloned voices. Describe audible qualities such as a gentle tone, clear articulation or a slightly slower pace. Inline tags provide a different control: [empathetic] or [serious] sets a style for subsequent text, while [laughing] or [sighing] inserts a vocal effect at a particular position. A control tag lasts until another control tag or automatic sentence segmentation. These emotion and rich-language tags are documented only for unidirectional streaming, rather than the bidirectional text-input mode. Prepare an expressive line in the mode appropriate to those controls.\n\nThe producer’s speech interface supports PCM, WAV, MP3 and Opus. Its listed sample rates are 8,000, 16,000, 22,050, 24,000, 44,100 and 48,000 Hz, with MP3 and 22,050 Hz as defaults. Volume ranges from 0 to 100; speech rate and pitch each range from 0.5 to 2.0. MP3 and Opus also expose a bitrate setting from 6 to 510 kbps. Select a format and sample rate to match the intended player or processing workflow. For an interactive application, the producer documents streaming audio frames and sentence metadata, with word-level timestamps available in streaming output for eligible voices, including cloned voices.\n\nThe documented WebSocket text protocol accepts up to 20,000 characters in one text message and 200,000 characters cumulatively in a task, with no more than 23 seconds between submissions. These are producer protocol limits, separate from a universal model output-duration limit. It supports cancellation of the current synthesis turn and a subsequent task on the same connection. Keep text segments in their intended spoken order and end the input when the script is complete. For pronunciation preparation, the producer documents target-language hints, pinyin annotations and text replacements, useful when digits, abbreviations or symbols are spoken unexpectedly.\n\nSSML is a separate markup option with voice and interaction-mode conditions: Qwen documents it for cloned voices, with non-streaming or unidirectional-streaming calls, and a single text submission when SSML is enabled. It should not be assumed for every preset voice or bidirectional stream. For ordinary dialogue, begin with a compatible voice, a clean spoken script and a specific delivery instruction; add targeted pronunciation or expressive controls where the task requires them. This keeps the Flash profile centred on responsive speech from prepared text rather than on capabilities of other Qwen audio models.",
    "alias_of": null,
    "aliases": [],
    "author": "Alibaba",
    "available": null,
    "canonical_model": "qwen/qwen-audio-3.0-tts-flash",
    "capabilities": {
      "context_length": 0,
      "manufacturer_input": [
        "text"
      ],
      "manufacturer_output": [
        "speech"
      ]
    },
    "card_routes": [
      {
        "label": "Ultra",
        "rates": [
          {
            "amount": "0.03000",
            "amount_unit": "usd_per_1000_characters",
            "billing_input": true,
            "estimate_only": false,
            "key": "audio_input_character",
            "label": "input character",
            "native_amount_usd_per_unit": "0.00003",
            "native_quantity": 1,
            "public_unit_label": "per 1000 input character",
            "quantity": "1000",
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "input_character"
          }
        ],
        "summary": "Full configuration pricing in details."
      }
    ],
    "ctx": null,
    "entity_type": "model",
    "formats": [
      "speech"
    ],
    "id": "qwen/qwen-audio-3.0-tts-flash",
    "input": [
      "text"
    ],
    "kind": "speech",
    "max_out": null,
    "methods": [
      {
        "available": null,
        "cache_read": null,
        "cache_write": null,
        "cache_write_1h": null,
        "contract": {
          "data": {
            "all_results": "Keep the complete binary result and headers. If JSON/multiple outputs are returned, retain every data item and fetch each actual signed asset URL.",
            "errors": [
              {
                "code": null,
                "condition": "Invalid required fields, material representation or parameter value",
                "http_status": 400,
                "recovery": "Correct the indicated fields before a new creation request.",
                "type": "invalid_request_error"
              },
              {
                "code": null,
                "condition": "The returned response says the operation or result requires a check",
                "http_status": null,
                "recovery": "Keep the original returned operation/task ID, request headers and response; continue supported reads of that original operation. Do not resubmit the creation request.",
                "type": "server_error"
              }
            ],
            "hints": [],
            "ignored_fields": [],
            "lifecycle": {
              "all_results": "Follow everyactualreturnedoutputandownedasset; no result is discardedbecauseindex0orcontent_urlalreadyexists.",
              "assets": [
                {
                  "http": "GET",
                  "path": "/v1/media/assets"
                },
                {
                  "http": "GET",
                  "path": "/v1/media/assets/{asset_id}"
                }
              ],
              "content": [
                {
                  "http": "GET",
                  "path": "/v1/media/assets/{asset_id}/content",
                  "url_source": "exact returned signed URL; never construct token"
                }
              ],
              "mode": "synchronous_result_then_owned_library",
              "operation_id_is_not_task_id": true,
              "status": [
                {
                  "http": "GET",
                  "id_source": "actual returned task_id or media library record",
                  "path": "/v1/media/tasks/{task_id}"
                }
              ],
              "unknown": "Retain original operation_id/X-Client-Request-ID for reconciliation without resubmission; no dedicated audio poll route."
            },
            "material_combinations": [
              {
                "content_type": "application/json",
                "mode": "text_to_speech",
                "required": [
                  "input"
                ]
              }
            ],
            "media_library": {
              "asset": {
                "fields": [
                  {
                    "description": null,
                    "name": "asset_id",
                    "type": "string"
                  },
                  {
                    "description": null,
                    "name": "task_id",
                    "type": "string"
                  },
                  {
                    "description": null,
                    "name": "output_key",
                    "type": "string"
                  },
                  {
                    "description": null,
                    "name": "family",
                    "type": "string"
                  },
                  {
                    "description": null,
                    "name": "model",
                    "type": "string"
                  },
                  {
                    "description": null,
                    "name": "method",
                    "type": "string"
                  },
                  {
                    "description": null,
                    "name": "status",
                    "type": "string"
                  },
                  {
                    "description": null,
                    "name": "content_type",
                    "type": "string"
                  },
                  {
                    "description": null,
                    "name": "sha256",
                    "type": "string"
                  },
                  {
                    "description": null,
                    "name": "size_bytes",
                    "type": "integer"
                  },
                  {
                    "description": null,
                    "name": "content_url",
                    "type": "string"
                  }
                ],
                "http": "GET",
                "id_source": "actual returned asset_id",
                "path": "/v1/media/assets/{asset_id}"
              },
              "content": {
                "http": "GET",
                "path": "/v1/media/assets/{asset_id}/content",
                "range_header_supported": true,
                "url_source": "Use exact returned signed content_url including its token; do not construct a token."
              },
              "expired_link": {
                "code": "link_expired",
                "http_status": 404,
                "recovery": "Read the asset again to obtain its refreshed signed content_url, then fetch that URL. Do not regenerate."
              },
              "list": {
                "all_pages": "Follow every returned next_cursor, then select records by their actual task_id/output_key.",
                "http": "GET",
                "output_fields": [
                  {
                    "description": null,
                    "name": "object",
                    "type": "string"
                  },
                  {
                    "description": null,
                    "name": "data",
                    "type": "asset[]"
                  },
                  {
                    "description": null,
                    "name": "next_cursor",
                    "type": "string|null"
                  }
                ],
                "parameters": [
                  {
                    "availability": "source_interface",
                    "default": null,
                    "default_known": false,
                    "enum": null,
                    "enum_known": false,
                    "name": "family",
                    "required": false,
                    "type": "string"
                  },
                  {
                    "availability": "source_interface",
                    "default": null,
                    "default_known": false,
                    "enum": null,
                    "enum_known": false,
                    "name": "cursor",
                    "required": false,
                    "type": "string"
                  },
                  {
                    "availability": "source_interface",
                    "default": 20,
                    "default_known": true,
                    "enum": null,
                    "enum_known": false,
                    "maximum": 100,
                    "minimum": 1,
                    "name": "limit",
                    "required": false,
                    "type": "integer"
                  }
                ],
                "path": "/v1/media/assets"
              },
              "revoke": {
                "http": "DELETE",
                "meaning": "Revokes/deletes the existing owned file; this is not generation cancellation.",
                "path": "/v1/media/assets/{asset_id}",
                "pending_status": "revoking",
                "success_statuses": [
                  202,
                  204
                ]
              },
              "task": {
                "http": "GET",
                "id_source": "actual returned task_id or media library record; operation_id is not task_id",
                "path": "/v1/media/tasks/{task_id}"
              }
            },
            "operation_modes": [
              "text_to_speech"
            ],
            "outputs": {
              "all_results": "Keep the complete binary result and headers. If JSON/multiple outputs are returned, retain every data item and fetch each actual signed asset URL.",
              "family": "audio",
              "fields": [
                {
                  "description": null,
                  "name": "binary audio",
                  "type": "bytes"
                },
                {
                  "description": null,
                  "name": "response headers",
                  "type": "headers"
                }
              ],
              "format": "mp3",
              "http_success": 200
            },
            "parameters": [
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": [
                  "qwen/qwen-audio-3.0-tts-flash"
                ],
                "enum_known": true,
                "name": "model",
                "required": true,
                "type": "string"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "limit_known": false,
                "maximum_length": null,
                "min_length": 1,
                "name": "input",
                "required": true,
                "type": "string",
                "unit": "Unicode characters"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": [
                  "loongjohn",
                  "longanhuan_v3.6"
                ],
                "enum_known": true,
                "name": "voice",
                "required": true,
                "type": "string"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": [
                  "mp3"
                ],
                "enum_known": true,
                "name": "response_format",
                "required": true,
                "type": "string"
              }
            ],
            "profile_binding": "Exact existing Ailoot model and method; interface constraints below do not assert provider qualification.",
            "unsupported": [
              "every field outside exactmodel,input,voice,response_format",
              "stream/speed/reference speech options"
            ]
          },
          "hints": [
            "Select exact voice from this model profile.",
            "Input characters and audio seconds are different meters."
          ],
          "input": {
            "content_type": "application/json",
            "input": "exact UTF-8 text; Unicode character count without normalization",
            "material_types": [
              "text"
            ],
            "max_input_characters": null,
            "other_options": false,
            "required": [
              "model",
              "input",
              "voice",
              "response_format"
            ],
            "response_format": [
              "mp3"
            ],
            "voice_ids": [
              "loongjohn",
              "longanhuan_v3.6"
            ]
          },
          "lifecycle": {
            "assets": [
              {
                "http": "GET",
                "path": "/v1/media/assets"
              },
              {
                "http": "GET",
                "path": "/v1/media/assets/{asset_id}"
              }
            ],
            "content": [
              {
                "http": "GET",
                "path": "/v1/media/assets/{asset_id}/content",
                "url_source": "exact returned signed URL; never construct token"
              }
            ],
            "mode": "synchronous_result_then_owned_library",
            "operation_id_is_not_task_id": true,
            "status": [
              {
                "http": "GET",
                "id_source": "actual returned task_id or media library record",
                "path": "/v1/media/tasks/{task_id}"
              }
            ],
            "unknown": "Retain original operation_id/X-Client-Request-ID for reconciliation without resubmission; no dedicated audio poll route."
          },
          "manufacturer_capability": null,
          "method": {
            "http": "POST",
            "path": "/v1/audio/speech"
          },
          "method_aliases": [],
          "operation_modes": [
            "text_to_speech"
          ],
          "output": {
            "family": "audio",
            "format": "mp3",
            "http_success": 200,
            "response": "full binary MP3 plus response headers",
            "result": "complete playable owned MP3"
          }
        },
        "ctx": null,
        "declared_pricing_profiles": [
          {
            "dimensions": {
              "regime": "base"
            },
            "label": "Base token rates",
            "units": [
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "output_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "output_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "cached_input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "cached_input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "generic_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "generic_cache_creation_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_1h_price",
                "label": "Cache write, 1 hour",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "one_hour_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "one_hour_cache_creation_token"
              }
            ]
          },
          {
            "dimensions": {
              "quantity_meter": "utf8.RuneCountInString(validUTF8): one Han codepoint=1; no Han weighting",
              "quoted_unit": "per 1000 input character"
            },
            "label": "Ultra",
            "units": [
              {
                "amount": "0.03000",
                "amount_unit": "usd_per_1000_characters",
                "billing_input": true,
                "estimate_only": false,
                "key": "audio_input_character",
                "label": "input character",
                "native_amount_usd_per_unit": "0.00003",
                "native_quantity": 1,
                "public_unit_label": "per 1000 input character",
                "quantity": "1000",
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "input_character"
              }
            ]
          }
        ],
        "declared_tariff_references": [
          {
            "client_selectable": false,
            "key": "1005b0881c111e8d7cb6",
            "label": "Qwen: Qwen-Audio-3.0-TTS Flash",
            "profiles": [
              {
                "basis": "",
                "dimensions": {
                  "conditions": "Default configuration"
                },
                "label": "Qwen: Qwen-Audio-3.0-TTS Flash · Default configuration",
                "units": [
                  {
                    "amount": "0.000030",
                    "amount_unit": "usd_per_exact_physical_unit",
                    "billing_input": false,
                    "key": "723fd9e7b35c0e460956bc11",
                    "label": "Input characters",
                    "public_unit_label": "per input character",
                    "quantity": "1",
                    "rate_role": "declared_tariff_rate",
                    "side": "in",
                    "unit": "input_character"
                  }
                ]
              }
            ]
          }
        ],
        "examples": [
          {
            "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\n: \"${AILOOT_VOICE_ID:?Choose an accepted voice ID from this exact model profile}\"\nexport AILOOT_VOICE_ID\npython3 - <<'PY_REQUEST'\nimport json,os\nfrom pathlib import Path\np=json.loads('{\"model\": \"qwen/qwen-audio-3.0-tts-flash\", \"input\": \"Good afternoon! This is a short voice take.\"}')\nvoice=os.environ[\"AILOOT_VOICE_ID\"]\nallowed=json.loads('[\"loongjohn\", \"longanhuan_v3.6\"]')\nif voice not in allowed: raise SystemExit(\"Choose an accepted voice ID from this exact model profile\")\np[\"voice\"]=voice\np[\"response_format\"]=\"mp3\"\nPath(\"request.json\").write_text(json.dumps(p,ensure_ascii=False))\nPY_REQUEST\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/audio/speech \\\n  -H \"Authorization: Bearer $AILOOT_API_KEY\" -H 'Content-Type: application/json' \\\n  --data-binary @request.json -D response-headers.txt -o speech.mp3\n",
            "label": "curl",
            "language": "bash"
          },
          {
            "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/media/assets \\\n  -H \"Authorization: Bearer $AILOOT_API_KEY\" -o media-assets.json\n",
            "label": "List actual media assets",
            "language": "bash"
          },
          {
            "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\n: \"${AILOOT_MEDIA_TASK_ID:?Set the actual ID returned by the response or media-library metadata}\"\nexport AILOOT_MEDIA_TASK_ID\nresource_id=$(python3 -c 'import os,urllib.parse;print(urllib.parse.quote(os.environ[\"AILOOT_MEDIA_TASK_ID\"],safe=\"\"))')\ncurl --fail-with-body --silent --show-error \"https://api.ailoot.ai/v1/media/tasks/$resource_id\" \\\n  -H \"Authorization: Bearer $AILOOT_API_KEY\" -o media-task.json\npython3 - <<'PY_RESULT'\nimport json\nfrom pathlib import Path\nprint(json.dumps(json.loads(Path(\"media-task.json\").read_text())))\nPY_RESULT\n",
            "label": "Read actual media task",
            "language": "bash"
          },
          {
            "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\n: \"${AILOOT_ASSET_ID:?Set the actual ID returned by the response or media-library metadata}\"\nexport AILOOT_ASSET_ID\nresource_id=$(python3 -c 'import os,urllib.parse;print(urllib.parse.quote(os.environ[\"AILOOT_ASSET_ID\"],safe=\"\"))')\ncurl --fail-with-body --silent --show-error \"https://api.ailoot.ai/v1/media/assets/$resource_id\" \\\n  -H \"Authorization: Bearer $AILOOT_API_KEY\" -o media-asset.json\npython3 - <<'PY_RESULT'\nimport json\nfrom pathlib import Path\nprint(json.dumps(json.loads(Path(\"media-asset.json\").read_text())))\nPY_RESULT\n",
            "label": "Read actual asset metadata",
            "language": "bash"
          }
        ],
        "family": "openai",
        "fast_multiplier": null,
        "flex_multiplier": null,
        "fmt": "speech",
        "hints": [
          "Select exact voice from this model profile.",
          "Input characters and audio seconds are different meters."
        ],
        "http": "POST",
        "in": null,
        "input": [
          "text"
        ],
        "label": "Озвучка текста",
        "max_out": null,
        "max_reasoning_effort_multiplier": null,
        "method_aliases": [],
        "out": null,
        "output": [
          "audio"
        ],
        "path": "/v1/audio/speech",
        "price_conditions": [
          {
            "label": "Fast mode",
            "value": "Not specified",
            "when": "When fast mode is selected"
          },
          {
            "label": "Flex mode",
            "value": "Not specified",
            "when": "When flex mode is selected"
          },
          {
            "label": "Maximum reasoning effort",
            "value": "Not specified",
            "when": "When maximum reasoning effort uses the default adjustment"
          }
        ],
        "pricing": {
          "billing_mode": "per_request",
          "image_input_price": null,
          "image_output_price": null,
          "per_request_price": null,
          "unit_prices": {
            "audio_input_character": 3e-05
          }
        },
        "pricing_profiles": [
          {
            "dimensions": {
              "regime": "base"
            },
            "label": "Base token rates",
            "units": [
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "output_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "output_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "cached_input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "cached_input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "generic_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "generic_cache_creation_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_1h_price",
                "label": "Cache write, 1 hour",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "one_hour_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "one_hour_cache_creation_token"
              }
            ]
          },
          {
            "dimensions": {
              "quantity_meter": "utf8.RuneCountInString(validUTF8): one Han codepoint=1; no Han weighting",
              "quoted_unit": "per 1000 input character"
            },
            "label": "Ultra",
            "units": [
              {
                "amount": "0.03000",
                "amount_unit": "usd_per_1000_characters",
                "billing_input": true,
                "estimate_only": false,
                "key": "audio_input_character",
                "label": "input character",
                "native_amount_usd_per_unit": "0.00003",
                "native_quantity": 1,
                "public_unit_label": "per 1000 input character",
                "quantity": "1000",
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "input_character"
              }
            ]
          }
        ],
        "request_model_id": "qwen/qwen-audio-3.0-tts-flash",
        "route_label": "Ultra",
        "status_reads": [
          "GET /v1/media/tasks/{task_id}",
          "GET /v1/media/assets/{asset_id}/content"
        ],
        "tiers": [],
        "units": [
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "input_price",
            "label": "Input tokens",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "input_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "input_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "output_price",
            "label": "Output tokens",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "output_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "out",
            "unit": "output_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "cache_read_price",
            "label": "Cache read",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "cached_input_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "cached_input_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "cache_write_price",
            "label": "Cache write",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "generic_cache_creation_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "generic_cache_creation_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "cache_write_1h_price",
            "label": "Cache write, 1 hour",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "one_hour_cache_creation_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "one_hour_cache_creation_token"
          },
          {
            "amount": "0.03000",
            "amount_unit": "usd_per_1000_characters",
            "billing_input": true,
            "estimate_only": false,
            "key": "audio_input_character",
            "label": "input character",
            "native_amount_usd_per_unit": "0.00003",
            "native_quantity": 1,
            "public_unit_label": "per 1000 input character",
            "quantity": "1000",
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "input_character"
          }
        ]
      }
    ],
    "model_aliases": [
      {
        "canonical_model_id": "qwen/qwen-audio-3.0-tts-flash",
        "request_model_id": "qwen/qwen-audio-3.0-tts-flash",
        "route_label": "Ultra"
      }
    ],
    "name": "Qwen: Qwen-Audio-3.0-TTS Flash",
    "price": {
      "in": null,
      "in_label": null,
      "out": null,
      "out_label": null,
      "sort_in": null,
      "sort_out": null,
      "varies": true
    },
    "pricing_profiles": [
      {
        "applicability": {
          "client_selectable": false,
          "native_profile_selection_pending": true,
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    "short": "Qwen-Audio-3.0-TTS-Flash is Qwen’s text-to-speech model focused on responsive voice assistants and interactive dialogue. It combines streaming synthesis, model-specific preset or cloned voices, and instructions or tags for expressive speech."
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          "html_json_pointer": "/methods/0/html",
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      "role": "historical-owner-input"
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  "source": {
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}
