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  "aboutHtml": "<p>Voxtral Mini Transcribe 2 是 Mistral AI 聚焦轉錄的 Voxtral 版本，在開發者模型卡中的識別碼為 voxtral-mini-2602。它專為錄音式批次轉錄設計，不同於原始 Voxtral Mini 3B 模型較廣泛的問答用途。輸入是音訊，結果是轉錄文字，可選擇附加說話者標籤與時間資訊。實際用途包括會議逐字稿、訪談分析、多方通話紀錄，以及與錄製媒體對齊的文字。</p><p>原廠記載說話者分離及開始／結束時間，讓逐字稿可顯示誰在何時說話。字詞層級時間戳記支援字幕、音訊搜尋，以及文字段落與錄音位置的對齊。開發者指南允許片段或字詞層級的時間戳記粒度。對訪談，實用成品是附有說話者歸屬與時間的一連串段落；準備字幕時，字詞或片段時間可引導後續字幕步驟，不必從純逐字稿文字推測時間。</p><p>上下文偏向接受最多 100 個字詞或片語，引導模型採用預期的姓名、技術術語及領域詞彙拼寫。Mistral 表示此功能針對英語最佳化，其他語言的支援屬實驗性。請根據錄音主題準備聚焦詞彙表，而非無關的詞彙集。一個原創範例是提供技術討論中可能出現的專案名稱與專門術語，再於完成的逐字稿中檢查拼寫。</p><p>此版本支援十三種語言：英語、中文、印地語、西班牙語、阿拉伯語、法語、葡萄牙語、俄語、德語、日語、韓語、義大利語及荷蘭語。原廠也記載抗噪能力，以及單次請求最長三小時的錄音。這些屬於 Mini Transcribe 2 的錄音工作流程；原始 2507 音訊理解模型的上下文與時長說明描述的是另一版本。可使用自動語言偵測，指南也指出，明確提供已知音訊語言可改善轉錄準確度。</p><p>在文件記載的開發者工作流程中，音訊可透過上傳檔案、先前上傳檔案的識別碼，或引用錄音提供。附帶的上傳示範接受 MP3、WAV、M4A、FLAC 及 OGG 錄音；使用示範上傳工作流程時，請選擇其中一種格式。保持錄音可解碼，並包含相關語音。對長篇材料，請保留識別碼與時間起點，讓任何後續摘錄或編輯仍可追溯來源。</p><p>依轉錄參考文件，回應會包含文字與偵測到的語言；要求時也會包含片段，文件並另行記載串流轉錄事件。說話者分離是選用功能，預設為 false。指南指出，timestamp_granularities 與明確 language 設定目前不相容，因此請選擇所需時間工作流程或手動語言提示，而非合併兩者。說話者標記轉錄、詞彙偏向與時間資訊，應依預期結果選擇，不應從基本請求自行假定。</p><p>重疊語音是實質限制：Mistral 表示，說話者重疊時，模型通常只轉錄其中一人。因此，附標籤的逐字稿不應被視為所有同時發言的完整紀錄。對會議紀錄，請對照錄音檢查困難重疊處，以及重要姓名或數字。模型用途是轉錄；摘要、翻譯或分析可以是建立在逐字稿上的獨立任務。Voxtral Realtime 有獨立的即時轉錄延遲型態，語音生成則屬於其他模型。</p><p>請為結果的下一個用途做準備。會議工作流程可先保留逐字稿、說話者標籤及時間，再於另一階段擷取決策；媒體工作流程可利用時間定位段落並草擬字幕；術語密集的錄音可以包含聚焦的上下文偏向清單，並審查產生的拼寫。實用交付成果是連結來源錄音與設定中繼資料的文字，並讓此數字版本的轉錄模型與原始 Mini 模型及隨更新變動的 latest 名稱保持區別。</p>",
  "aboutText": "Voxtral Mini Transcribe 2 是 Mistral AI 聚焦轉錄的 Voxtral 版本，在開發者模型卡中的識別碼為 voxtral-mini-2602。它專為錄音式批次轉錄設計，不同於原始 Voxtral Mini 3B 模型較廣泛的問答用途。輸入是音訊，結果是轉錄文字，可選擇附加說話者標籤與時間資訊。實際用途包括會議逐字稿、訪談分析、多方通話紀錄，以及與錄製媒體對齊的文字。\n\n原廠記載說話者分離及開始／結束時間，讓逐字稿可顯示誰在何時說話。字詞層級時間戳記支援字幕、音訊搜尋，以及文字段落與錄音位置的對齊。開發者指南允許片段或字詞層級的時間戳記粒度。對訪談，實用成品是附有說話者歸屬與時間的一連串段落；準備字幕時，字詞或片段時間可引導後續字幕步驟，不必從純逐字稿文字推測時間。\n\n上下文偏向接受最多 100 個字詞或片語，引導模型採用預期的姓名、技術術語及領域詞彙拼寫。Mistral 表示此功能針對英語最佳化，其他語言的支援屬實驗性。請根據錄音主題準備聚焦詞彙表，而非無關的詞彙集。一個原創範例是提供技術討論中可能出現的專案名稱與專門術語，再於完成的逐字稿中檢查拼寫。\n\n此版本支援十三種語言：英語、中文、印地語、西班牙語、阿拉伯語、法語、葡萄牙語、俄語、德語、日語、韓語、義大利語及荷蘭語。原廠也記載抗噪能力，以及單次請求最長三小時的錄音。這些屬於 Mini Transcribe 2 的錄音工作流程；原始 2507 音訊理解模型的上下文與時長說明描述的是另一版本。可使用自動語言偵測，指南也指出，明確提供已知音訊語言可改善轉錄準確度。\n\n在文件記載的開發者工作流程中，音訊可透過上傳檔案、先前上傳檔案的識別碼，或引用錄音提供。附帶的上傳示範接受 MP3、WAV、M4A、FLAC 及 OGG 錄音；使用示範上傳工作流程時，請選擇其中一種格式。保持錄音可解碼，並包含相關語音。對長篇材料，請保留識別碼與時間起點，讓任何後續摘錄或編輯仍可追溯來源。\n\n依轉錄參考文件，回應會包含文字與偵測到的語言；要求時也會包含片段，文件並另行記載串流轉錄事件。說話者分離是選用功能，預設為 false。指南指出，timestamp_granularities 與明確 language 設定目前不相容，因此請選擇所需時間工作流程或手動語言提示，而非合併兩者。說話者標記轉錄、詞彙偏向與時間資訊，應依預期結果選擇，不應從基本請求自行假定。\n\n重疊語音是實質限制：Mistral 表示，說話者重疊時，模型通常只轉錄其中一人。因此，附標籤的逐字稿不應被視為所有同時發言的完整紀錄。對會議紀錄，請對照錄音檢查困難重疊處，以及重要姓名或數字。模型用途是轉錄；摘要、翻譯或分析可以是建立在逐字稿上的獨立任務。Voxtral Realtime 有獨立的即時轉錄延遲型態，語音生成則屬於其他模型。\n\n請為結果的下一個用途做準備。會議工作流程可先保留逐字稿、說話者標籤及時間，再於另一階段擷取決策；媒體工作流程可利用時間定位段落並草擬字幕；術語密集的錄音可以包含聚焦的上下文偏向清單，並審查產生的拼寫。實用交付成果是連結來源錄音與設定中繼資料的文字，並讓此數字版本的轉錄模型與原始 Mini 模型及隨更新變動的 latest 名稱保持區別。",
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      "html": "<div class=\"sheet-head\"><span class=\"mav\" aria-hidden=\"true\">•</span><h2 id=\"sheet-title\">Mistral: Voxtral Mini Transcribe</h2><button class=\"icon-btn\" type=\"button\" data-close-sheet aria-label=\"關閉\">×</button></div><div class=\"idline\"><span>Mistral /</span><code>mistralai/voxtral-mini-transcribe</code><button type=\"button\" id=\"copy-id\">複製 ID</button></div><nav class=\"card-jump-nav\" aria-label=\"模型卡片區段\"><button type=\"button\" data-card-jump=\"overview\">入門</button><button type=\"button\" data-card-jump=\"methods\">輸入與方法</button><button type=\"button\" data-card-jump=\"pricing\">方案</button><button type=\"button\" data-card-jump=\"examples\">範例</button><button type=\"button\" data-card-jump=\"results\">結果</button><button type=\"button\" data-card-jump=\"aliases\">別名</button></nav><div class=\"card-method-tabs\" role=\"tablist\" aria-label=\"API 方法\"><button type=\"button\" role=\"tab\" tabindex=\"0\" aria-controls=\"card-method-content\" aria-selected=\"true\" id=\"card-method-tab-0\" data-card-method=\"Ultra|transcriptions|/v1/audio/transcriptions|mistralai%2Fvoxtral-mini-transcribe\">辨識</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\">入門</h3><p class=\"mdesc-full\">Voxtral Mini Transcribe 2 將錄音轉為文字，並支援說話者分離、字詞層級時間戳記及詞彙偏向。Mistral 為此聚焦轉錄的版本記載 13 種語言及最長三小時錄音，與 Voxtral Realtime 不同。</p><dl class=\"card-io\" data-card-io><div><dt>接受的輸入</dt><dd>音訊</dd></div><div><dt>結果</dt><dd>文字</dd></div></dl><details class=\"card-about\"><summary>關於模型</summary><p class=\"note-s\" data-model-method-boundary>此說明介紹模型的能力。Ailoot 可用的輸入、輸出與選項，依所選方法列於下方。</p><div class=\"mabout\" id=\"m-about\"><p>Voxtral Mini Transcribe 2 是 Mistral AI 聚焦轉錄的 Voxtral 版本，在開發者模型卡中的識別碼為 voxtral-mini-2602。它專為錄音式批次轉錄設計，不同於原始 Voxtral Mini 3B 模型較廣泛的問答用途。輸入是音訊，結果是轉錄文字，可選擇附加說話者標籤與時間資訊。實際用途包括會議逐字稿、訪談分析、多方通話紀錄，以及與錄製媒體對齊的文字。</p><p>原廠記載說話者分離及開始／結束時間，讓逐字稿可顯示誰在何時說話。字詞層級時間戳記支援字幕、音訊搜尋，以及文字段落與錄音位置的對齊。開發者指南允許片段或字詞層級的時間戳記粒度。對訪談，實用成品是附有說話者歸屬與時間的一連串段落；準備字幕時，字詞或片段時間可引導後續字幕步驟，不必從純逐字稿文字推測時間。</p><p>上下文偏向接受最多 100 個字詞或片語，引導模型採用預期的姓名、技術術語及領域詞彙拼寫。Mistral 表示此功能針對英語最佳化，其他語言的支援屬實驗性。請根據錄音主題準備聚焦詞彙表，而非無關的詞彙集。一個原創範例是提供技術討論中可能出現的專案名稱與專門術語，再於完成的逐字稿中檢查拼寫。</p><p>此版本支援十三種語言：英語、中文、印地語、西班牙語、阿拉伯語、法語、葡萄牙語、俄語、德語、日語、韓語、義大利語及荷蘭語。原廠也記載抗噪能力，以及單次請求最長三小時的錄音。這些屬於 Mini Transcribe 2 的錄音工作流程；原始 2507 音訊理解模型的上下文與時長說明描述的是另一版本。可使用自動語言偵測，指南也指出，明確提供已知音訊語言可改善轉錄準確度。</p><p>在文件記載的開發者工作流程中，音訊可透過上傳檔案、先前上傳檔案的識別碼，或引用錄音提供。附帶的上傳示範接受 MP3、WAV、M4A、FLAC 及 OGG 錄音；使用示範上傳工作流程時，請選擇其中一種格式。保持錄音可解碼，並包含相關語音。對長篇材料，請保留識別碼與時間起點，讓任何後續摘錄或編輯仍可追溯來源。</p><p>依轉錄參考文件，回應會包含文字與偵測到的語言；要求時也會包含片段，文件並另行記載串流轉錄事件。說話者分離是選用功能，預設為 false。指南指出，timestamp_granularities 與明確 language 設定目前不相容，因此請選擇所需時間工作流程或手動語言提示，而非合併兩者。說話者標記轉錄、詞彙偏向與時間資訊，應依預期結果選擇，不應從基本請求自行假定。</p><p>重疊語音是實質限制：Mistral 表示，說話者重疊時，模型通常只轉錄其中一人。因此，附標籤的逐字稿不應被視為所有同時發言的完整紀錄。對會議紀錄，請對照錄音檢查困難重疊處，以及重要姓名或數字。模型用途是轉錄；摘要、翻譯或分析可以是建立在逐字稿上的獨立任務。Voxtral Realtime 有獨立的即時轉錄延遲型態，語音生成則屬於其他模型。</p><p>請為結果的下一個用途做準備。會議工作流程可先保留逐字稿、說話者標籤及時間，再於另一階段擷取決策；媒體工作流程可利用時間定位段落並草擬字幕；術語密集的錄音可以包含聚焦的上下文偏向清單，並審查產生的拼寫。實用交付成果是連結來源錄音與設定中繼資料的文字，並讓此數字版本的轉錄模型與原始 Mini 模型及隨更新變動的 latest 名稱保持區別。</p></div></details></section><section class=\"card-section\" data-card-section=\"methods\"><h3 tabindex=\"-1\">Ailoot 可用 · 輸入與方法</h3><details class=\"card-method\" open><summary><b>Ailoot Ultra · 語音轉文字</b> <code>POST /v1/audio/transcriptions</code></summary><dl class=\"method-capabilities\"><div><dt>輸入</dt><dd><code>audio</code></dd></div><div><dt>輸出</dt><dd><code>text</code></dd></div></dl><div class=\"tw\" data-card-parameters data-typed-parameters><table><thead><tr><th>欄位</th><th>類型</th><th>要求</th><th>值與限制</th><th>預設值</th></tr></thead><tbody><tr><th data-cell-label=\"欄位\" scope=\"row\"><span class=\"card-cell-label\">欄位</span><code class=\"card-field-name\">model</code></th><td data-cell-label=\"類型\" data-field-type><span class=\"card-cell-label\">類型</span><code>string</code></td><td data-cell-label=\"要求\"><span class=\"card-cell-label\">要求</span>必填</td><td data-cell-label=\"值與限制\"><span class=\"card-cell-label\">值與限制</span><div>mistralai/voxtral-mini-transcribe</div></td><td data-cell-label=\"預設值\" data-default=\"unspecified\"><span class=\"card-cell-label\">預設值</span>—</td></tr><tr><th data-cell-label=\"欄位\" scope=\"row\"><span class=\"card-cell-label\">欄位</span><code class=\"card-field-name\">input_audio</code></th><td data-cell-label=\"類型\" data-field-type><span class=\"card-cell-label\">類型</span><code>object</code></td><td data-cell-label=\"要求\"><span class=\"card-cell-label\">要求</span>必填</td><td data-cell-label=\"值與限制\"><span class=\"card-cell-label\">值與限制</span></td><td data-cell-label=\"預設值\" data-default=\"unspecified\"><span class=\"card-cell-label\">預設值</span>—</td></tr></tbody></table></div><details class=\"note-s\" data-method-contract><summary>方法參數與生命週期</summary><div class=\"tw\" data-card-table=\"contract\"><table><thead><tr><th>參數</th><th>規格</th></tr></thead><tbody><tr><th data-cell-label=\"參數\" scope=\"row\"><span class=\"card-cell-label\">參數</span><code>content_type</code></th><td data-cell-label=\"規格\"><span class=\"card-cell-label\">規格</span>application/json</td></tr><tr><th data-cell-label=\"參數\" scope=\"row\"><span class=\"card-cell-label\">參數</span><code>required</code></th><td data-cell-label=\"規格\"><span class=\"card-cell-label\">規格</span>model, input_audio</td></tr><tr><th data-cell-label=\"參數\" scope=\"row\"><span class=\"card-cell-label\">參數</span><code>material_types</code></th><td data-cell-label=\"規格\"><span class=\"card-cell-label\">規格</span>audio</td></tr><tr><th data-cell-label=\"參數\" scope=\"row\"><span class=\"card-cell-label\">參數</span><code>material_conditions</code></th><td data-cell-label=\"規格\"><span class=\"card-cell-label\">規格</span>此範例會讀取您實際使用且非空的 PCM WAV 檔案，將完整檔案位元組編碼為 base64，並將 input_audio.format 設為 wav 傳送。</td></tr></tbody></table></div><p>生命週期： <code>synchronous_result_then_owned_library</code></p><p class=\"note-s\"><code>GET /v1/media/tasks/{task_id}</code> · 現有自有媒體紀錄中完全相符的 task_id</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></details></details></section><section class=\"card-section\" data-card-section=\"pricing\"><h3 tabindex=\"-1\">方案</h3><div data-native-semantic-method=\"v1\" data-tariff-reference-only><p class=\"note-s\" data-rate-support-note>費率資訊不會增加請求選項。支援的參數列於所選方法中。</p><dl data-price-conditions><dt>快速模式</dt><dd>未指定 <span class=\"note-s\">選取快速模式時</span></dd><dt>flex 模式</dt><dd>未指定 <span class=\"note-s\">選取 flex 模式時</span></dd><dt>最高推理強度</dt><dd>未指定 <span class=\"note-s\">最高推理強度採用 default 調整值時</span></dd></dl></div><div data-declared-tariff-pricing><h4>Ailoot 費率</h4><h4>各設定的價格</h4><p class=\"note-s\">請逐一核對各項費用與所列條件。每組互為替代選項的設定只套用一種費率。</p><div class=\"tw\" data-pricing-profiles><table><thead><tr><th>設定</th><th>費率表</th><th>計費單位</th><th>費用</th></tr></thead><tbody><tr><th data-cell-label=\"設定\" scope=\"row\"><span class=\"card-cell-label\">設定</span>基礎 token 費率</th><td data-cell-label=\"費率表\"><span class=\"card-cell-label\">費率表</span>基本費率</td><td data-cell-label=\"計費單位\"><span class=\"card-cell-label\">計費單位</span>—</td><td data-cell-label=\"費用\"><span class=\"card-cell-label\">費用</span><div><span>輸入 · 輸入 Token</span> <b>—</b> <span class=\"price-unit\">/ 1K Token</span></div><div><span>輸出 · 輸出 Token</span> <b>—</b> <span class=\"price-unit\">/ 1K Token</span></div><div><span>輸入 · 讀取快取</span> <b>—</b> <span class=\"price-unit\">/ 1K Token</span></div><div><span>輸入 · 寫入快取</span> <b>—</b> <span class=\"price-unit\">/ 1K Token</span></div><div><span>輸入 · 寫入快取，1 小時</span> <b>—</b> <span class=\"price-unit\">/ 1K Token</span></div></td></tr><tr><th data-cell-label=\"設定\" scope=\"row\"><span class=\"card-cell-label\">設定</span>輸入音訊秒數</th><td data-cell-label=\"費率表\"><span class=\"card-cell-label\">費率表</span>—</td><td data-cell-label=\"計費單位\"><span class=\"card-cell-label\">計費單位</span>每秒輸入音訊</td><td data-cell-label=\"費用\"><span class=\"card-cell-label\">費用</span><div><span>輸入 · 輸入音訊秒數</span> <b>$0.0001</b> <span class=\"price-unit\">每秒輸入音訊</span></div></td></tr></tbody></table></div></div><p class=\"note-s\">Ailoot 會在請求前預留估算金額。取得結果後，依實測用量結算最終費用。串流結算採用最終用量紀錄。<a href=\"/docs/zh-hant-tw/billing/reserve/\">預留金額與結算的運作方式 →</a></p></section><section class=\"card-section\" data-card-section=\"examples\"><h3 tabindex=\"-1\">請求範例</h3><h4>Ailoot Ultra · 語音轉文字</h4><div class=\"code-group\"><div class=\"cg-bar\"><div class=\"cg-tabs\" role=\"tablist\" aria-label=\"程式碼版本\"><button class=\"cg-tab\" id=\"model-code-1942-tab-0\" role=\"tab\" type=\"button\" aria-controls=\"model-code-1942-panel-0\" aria-selected=\"true\" tabindex=\"0\">curl · 實際 WAV 檔案與完整的原始結果</button></div><div class=\"cg-tools\"><button class=\"cg-btn cg-copy\" type=\"button\" aria-label=\"複製程式碼\"><svg class=\"cp\" viewBox=\"0 0 16 16\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.4\"><rect x=\"5.25\" y=\"5.25\" width=\"8.5\" height=\"8.5\" rx=\"1.75\"/><path d=\"M10.75 5.25V3.5a1.25 1.25 0 0 0-1.25-1.25H3.5A1.25 1.25 0 0 0 2.25 3.5v6a1.25 1.25 0 0 0 1.25 1.25h1.75\"/></svg><svg class=\"ok\" viewBox=\"0 0 16 16\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.4\"><path d=\"m3 8.5 3.25 3.25L13 5\"/></svg></button></div></div><div class=\"cg-body\"><div class=\"cg-pane\" id=\"model-code-1942-panel-0\" role=\"tabpanel\" aria-labelledby=\"model-code-1942-tab-0\"><pre data-lang=\"bash\"><code>set -eu\n: &quot;${AILOOT_API_KEY:?Set your Ailoot API key}&quot;\n: &quot;${AILOOT_AUDIO_FILE:?Set the path to your actual PCM WAV recording}&quot;\nexport AILOOT_AUDIO_FILE\npython3 - &lt;&lt;&#39;PY_REQUEST&#39;\nimport base64, io, json, os, wave\nfrom pathlib import Path\naudio = Path(os.environ[&#39;AILOOT_AUDIO_FILE&#39;]).read_bytes()\nif not (audio[:4] == b&#39;RIFF&#39; and audio[8:12] == b&#39;WAVE&#39;):\n    raise SystemExit(&#39;Supply your actual PCM WAV audio file&#39;)\nwith wave.open(io.BytesIO(audio), &#39;rb&#39;) as recording:\n    if recording.getcomptype() != &#39;NONE&#39; or recording.getnframes() &lt;= 0:\n        raise SystemExit(&#39;Supply a nonempty PCM WAV recording&#39;)\nrequest = {&#39;model&#39;: &#39;mistralai/voxtral-mini-transcribe&#39;, &#39;input_audio&#39;: {&#39;data&#39;: base64.b64encode(audio).decode(&#39;ascii&#39;), &#39;format&#39;: &#39;wav&#39;}}\nPath(&#39;request.json&#39;).write_text(json.dumps(request, ensure_ascii=False), encoding=&#39;utf-8&#39;)\nPY_REQUEST\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/audio/transcriptions \\\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 response.bin\n# Retain the complete original response, headers and actual X-Client-Request-ID.\n# Read existing owned records for recovery; do not resubmit an uncertain operation.\n</code></pre></div></div></div></section><section class=\"card-section\" data-card-section=\"results\"><h3 tabindex=\"-1\">接收並儲存結果</h3><h4>Ailoot Ultra · 語音轉文字</h4><p class=\"note-s\">完整的原始回應本文、狀態與轉送標頭。此處理常式不會加入通用的 JSON 結構、文字欄位或工作封裝。</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><div class=\"card-result-process\" data-all-results><h5>保留所有已完成的結果</h5><p class=\"note-s\">請保留所有完整傳回的回應、檔案與內容區塊。</p><p class=\"note-s\">保留完整回應與標頭、所有實際輸出、原始回傳的識別碼，以及所有用量欄位。恢復原始作業時，請勿再次提交建立請求。</p></div><div class=\"card-result-process\" data-unknown-recovery><h5>需要檢查原始回應時</h5><p class=\"note-s\">請保留實際的 X-Client-Request-ID 與完整回應。請讀取原始自有資產及其完全相符的簽署內容 URL；切勿重新提交結果不明的建立請求。</p></div><details class=\"card-about\" data-output-fields><summary>回應欄位</summary><div class=\"tw\" data-card-table=\"output\"><table><thead><tr><th>欄位</th><th>類型</th></tr></thead><tbody><tr><th data-cell-label=\"欄位\" scope=\"row\"><span class=\"card-cell-label\">欄位</span><code class=\"card-field-name\">text (when present)</code></th><td data-cell-label=\"類型\" data-field-type><span class=\"card-cell-label\">類型</span></td></tr><tr><th data-cell-label=\"欄位\" scope=\"row\"><span class=\"card-cell-label\">欄位</span><code class=\"card-field-name\">usage (when present)</code></th><td data-cell-label=\"類型\" data-field-type><span class=\"card-cell-label\">類型</span></td></tr></tbody></table></div></details><details class=\"card-about\" data-method-errors><summary>錯誤與後續步驟</summary><div class=\"tw\" data-card-table=\"errors\"><table><thead><tr><th>回應</th><th>條件</th><th>下一步</th></tr></thead><tbody><tr><th data-cell-label=\"回應\" scope=\"row\"><span class=\"card-cell-label\">回應</span>400 · <code>invalid_request_error</code></th><td data-cell-label=\"條件\"><span class=\"card-cell-label\">條件</span>JSON 本文或明確的標準模型 ID 無效。</td><td data-cell-label=\"下一步\"><span class=\"card-cell-label\">下一步</span>請保留回應，並修正指出的請求欄位。</td></tr><tr><th data-cell-label=\"回應\" scope=\"row\"><span class=\"card-cell-label\">回應</span>401 · <code>authentication_error</code></th><td data-cell-label=\"條件\"><span class=\"card-cell-label\">條件</span>Ailoot API 金鑰無效。</td><td data-cell-label=\"下一步\"><span class=\"card-cell-label\">下一步</span>請使用您已獲授權的 Ailoot API 金鑰。</td></tr><tr><th data-cell-label=\"回應\" scope=\"row\"><span class=\"card-cell-label\">回應</span>403 · <code>permission_error</code></th><td data-cell-label=\"條件\"><span class=\"card-cell-label\">條件</span>此金鑰群組未獲准使用該方法。</td><td data-cell-label=\"下一步\"><span class=\"card-cell-label\">下一步</span>請保留回傳的錯誤詳細資訊。</td></tr><tr><th data-cell-label=\"回應\" scope=\"row\"><span class=\"card-cell-label\">回應</span>404 · <code>not_found_error</code></th><td data-cell-label=\"條件\"><span class=\"card-cell-label\">條件</span>所選方法沒有獲准使用的路由。</td><td data-cell-label=\"下一步\"><span class=\"card-cell-label\">下一步</span>請保留回傳的錯誤詳細資訊。</td></tr><tr><th data-cell-label=\"回應\" scope=\"row\"><span class=\"card-cell-label\">回應</span>422 · <code>price_unavailable</code></th><td data-cell-label=\"條件\"><span class=\"card-cell-label\">條件</span>已接受的費率無法取得其所需的輸入數量或界限。</td><td data-cell-label=\"下一步\"><span class=\"card-cell-label\">下一步</span>請保留回應，並使用已接受費率所要求的輸入表示方式。</td></tr><tr><th data-cell-label=\"回應\" scope=\"row\"><span class=\"card-cell-label\">回應</span>503 · <code></code></th><td data-cell-label=\"條件\"><span class=\"card-cell-label\">條件</span>所需的儲存系統、路由、方法價格或預留額度無法使用。</td><td data-cell-label=\"下一步\"><span class=\"card-cell-label\">下一步</span>請保留完整的原始回應。預留額度狀態不明並不代表可以重新提交。</td></tr><tr><th data-cell-label=\"回應\" scope=\"row\"><span class=\"card-cell-label\">回應</span>502 · <code>server_error</code></th><td data-cell-label=\"條件\"><span class=\"card-cell-label\">條件</span>原始結果、用量或結算需要查核。</td><td data-cell-label=\"下一步\"><span class=\"card-cell-label\">下一步</span>請保留實際的請求 ID 與原始回應。請讀取現有的自有紀錄，切勿重新提交建立請求。</td></tr></tbody></table></div></details></section><section class=\"card-section\" data-card-section=\"aliases\"><h3 tabindex=\"-1\">別名</h3><h4>模型別名</h4><p class=\"note-s\"><span data-model-alias-route=\"Ultra\"><b>Ailoot Ultra</b> <a href=\"#m=mistralai%2Fvoxtral-mini-transcribe&amp;route=Ultra&amp;caller=mistralai%2Fvoxtral-mini-transcribe&amp;fmt=transcriptions\"><code>mistralai/voxtral-mini-transcribe</code></a></span></p><h4>方法路徑別名</h4><p class=\"note-s\">請使用上方列出的 API 方法路徑。</p><h4>相關呼叫用 ID</h4><p class=\"note-s\"><a href=\"#m=mistralai%2Fvoxtral-mini-transcribe&amp;route=Ultra&amp;caller=mistralai%2Fvoxtral-mini-transcribe&amp;fmt=transcriptions\"><code>mistralai/voxtral-mini-transcribe</code></a></p></section></div>",
      "method_identity": {
        "effective_request_model_id": "mistralai/voxtral-mini-transcribe",
        "fmt": "transcriptions",
        "http": "POST",
        "path": "/v1/audio/transcriptions",
        "request_model_id": "mistralai/voxtral-mini-transcribe",
        "route_label": "Ultra"
      },
      "method_key": "Ultra|transcriptions|/v1/audio/transcriptions|mistralai%2Fvoxtral-mini-transcribe",
      "ordinal": 0,
      "rawMethod": {
        "available": null,
        "cache_read": null,
        "cache_write": null,
        "cache_write_1h": null,
        "contract": {
          "data": {
            "all_results": "Retain the complete response and headers, every actual output, original returned identifiers and all usage fields. Recover the original operation without submitting creation again.",
            "errors": [
              {
                "code": null,
                "condition": "JSON 本文或明確的標準模型 ID 無效。",
                "http_status": 400,
                "recovery": "請保留回應，並修正指出的請求欄位。",
                "type": "invalid_request_error"
              },
              {
                "code": null,
                "condition": "Ailoot API 金鑰無效。",
                "http_status": 401,
                "recovery": "請使用您已獲授權的 Ailoot API 金鑰。",
                "type": "authentication_error"
              },
              {
                "code": null,
                "condition": "此金鑰群組未獲准使用該方法。",
                "http_status": 403,
                "recovery": "請保留回傳的錯誤詳細資訊。",
                "type": "permission_error"
              },
              {
                "code": null,
                "condition": "所選方法沒有獲准使用的路由。",
                "http_status": 404,
                "recovery": "請保留回傳的錯誤詳細資訊。",
                "type": "not_found_error"
              },
              {
                "code": null,
                "condition": "已接受的費率無法取得其所需的輸入數量或界限。",
                "http_status": 422,
                "recovery": "請保留回應，並使用已接受費率所要求的輸入表示方式。",
                "type": "price_unavailable"
              },
              {
                "code": null,
                "condition": "所需的儲存系統、路由、方法價格或預留額度無法使用。",
                "http_status": 503,
                "recovery": "請保留完整的原始回應。預留額度狀態不明並不代表可以重新提交。",
                "type": null
              },
              {
                "code": null,
                "condition": "原始結果、用量或結算需要查核。",
                "http_status": 502,
                "operation_id_source": "actual X-Client-Request-ID",
                "recovery": "請保留實際的請求 ID 與原始回應。請讀取現有的自有紀錄，切勿重新提交建立請求。",
                "response_headers": {
                  "x-should-retry": "false"
                },
                "type": "server_error"
              }
            ],
            "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 content URL"
                }
              ],
              "dedicated_method_polling_or_cancel": false,
              "mode": "synchronous_result_then_owned_library",
              "original_POST_adds_task_envelope": false,
              "status": [
                {
                  "http": "GET",
                  "id_source": "exact task_id from an existing owned media record",
                  "path": "/v1/media/tasks/{task_id}"
                }
              ],
              "unknown": "請保留實際的 X-Client-Request-ID 與完整回應。請讀取原始自有資產及其完全相符的簽署內容 URL；切勿重新提交結果不明的建立請求。"
            },
            "outputs": {
              "all_results": "保留完整回應與標頭、所有實際輸出、原始回傳的識別碼，以及所有用量欄位。恢復原始作業時，請勿再次提交建立請求。",
              "family": "text",
              "fields": [
                {
                  "description": null,
                  "name": "text (when present)",
                  "type": null
                },
                {
                  "description": null,
                  "name": "usage (when present)",
                  "type": null
                }
              ],
              "result": "完整的原始回應本文、狀態與轉送標頭。此處理常式不會加入通用的 JSON 結構、文字欄位或工作封裝。"
            },
            "parameters": [
              {
                "default_known": false,
                "enum": [
                  "mistralai/voxtral-mini-transcribe"
                ],
                "enum_known": true,
                "name": "model",
                "required": true,
                "type": "string"
              },
              {
                "default_known": false,
                "enum_known": false,
                "name": "input_audio",
                "required": true,
                "type": "object"
              }
            ],
            "request_schema": {
              "properties": {
                "input_audio": {
                  "properties": {
                    "data": {
                      "contentEncoding": "base64",
                      "type": "string"
                    },
                    "format": {
                      "type": "string"
                    }
                  },
                  "required": [
                    "data",
                    "format"
                  ],
                  "type": "object"
                },
                "model": {
                  "enum": [
                    "mistralai/voxtral-mini-transcribe"
                  ],
                  "type": "string"
                }
              },
              "required": [
                "model",
                "input_audio"
              ],
              "type": "object"
            },
            "schema_template": {
              "actual_file_preparation_required": true,
              "body": {
                "input_audio": {
                  "data": "${BASE64_ACTUAL_WAV_BYTES}",
                  "format": "wav"
                },
                "model": "mistralai/voxtral-mini-transcribe"
              },
              "content_type": "application/json"
            }
          },
          "input": {
            "content_type": "application/json",
            "material_conditions": [
              "此範例會讀取您實際使用且非空的 PCM WAV 檔案，將完整檔案位元組編碼為 base64，並將 input_audio.format 設為 wav 傳送。"
            ],
            "material_types": [
              "audio"
            ],
            "required": [
              "model",
              "input_audio"
            ]
          },
          "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 content URL"
              }
            ],
            "dedicated_method_polling_or_cancel": false,
            "mode": "synchronous_result_then_owned_library",
            "original_POST_adds_task_envelope": false,
            "status": [
              {
                "http": "GET",
                "id_source": "現有自有媒體紀錄中完全相符的 task_id",
                "path": "/v1/media/tasks/{task_id}"
              }
            ],
            "unknown": "Retain the actual X-Client-Request-ID and complete response. Read the original owned assets and their exact signed content URLs; never resubmit an uncertain creation."
          },
          "method": {
            "http": "POST",
            "path": "/v1/audio/transcriptions"
          },
          "output": {
            "all_results": "Retain the complete response and headers, every actual output, original returned identifiers and all usage fields. Recover the original operation without submitting creation again.",
            "family": "text",
            "fields": [
              {
                "description": null,
                "name": "text (when present)",
                "type": null
              },
              {
                "description": null,
                "name": "usage (when present)",
                "type": null
              }
            ],
            "result": "Complete original response body, status and forwarded headers. No universal JSON shape, text field or task envelope is added by this handler."
          }
        },
        "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": {
              "quoted_unit": "per input audio second"
            },
            "label": "input audio second",
            "units": [
              {
                "amount": "0.0001",
                "amount_unit": "usd_per_exact_native_unit",
                "billing_input": true,
                "estimate_only": false,
                "key": "audio_input_second",
                "label": "input audio second",
                "native_amount_usd_per_unit": "0.0001",
                "native_quantity": 1,
                "public_unit_label": "per input audio second",
                "quantity": 1,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "audio_input_second"
              }
            ]
          }
        ],
        "examples": [
          {
            "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\n: \"${AILOOT_AUDIO_FILE:?Set the path to your actual PCM WAV recording}\"\nexport AILOOT_AUDIO_FILE\npython3 - <<'PY_REQUEST'\nimport base64, io, json, os, wave\nfrom pathlib import Path\naudio = Path(os.environ['AILOOT_AUDIO_FILE']).read_bytes()\nif not (audio[:4] == b'RIFF' and audio[8:12] == b'WAVE'):\n    raise SystemExit('Supply your actual PCM WAV audio file')\nwith wave.open(io.BytesIO(audio), 'rb') as recording:\n    if recording.getcomptype() != 'NONE' or recording.getnframes() <= 0:\n        raise SystemExit('Supply a nonempty PCM WAV recording')\nrequest = {'model': 'mistralai/voxtral-mini-transcribe', 'input_audio': {'data': base64.b64encode(audio).decode('ascii'), 'format': 'wav'}}\nPath('request.json').write_text(json.dumps(request, ensure_ascii=False), encoding='utf-8')\nPY_REQUEST\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/audio/transcriptions \\\n  -H \"Authorization: Bearer $AILOOT_API_KEY\" -H 'Content-Type: application/json' \\\n  --data-binary @request.json -D response-headers.txt -o response.bin\n# Retain the complete original response, headers and actual X-Client-Request-ID.\n# Read existing owned records for recovery; do not resubmit an uncertain operation.\n",
            "label": "curl · actual WAV file and complete original result",
            "language": "bash"
          }
        ],
        "family": "openai",
        "fast_multiplier": null,
        "flex_multiplier": null,
        "fmt": "transcriptions",
        "hints": [
          "The example reads your actual nonempty PCM WAV file, encodes the complete file bytes as base64 and sends input_audio.format as wav.",
          "The format value in the example is the documented recipe; no model-specific format list, limit or default is asserted.",
          "Retain the complete response and headers, every actual output, original returned identifiers and all usage fields. Recover the original operation without submitting creation again."
        ],
        "http": "POST",
        "in": null,
        "input": [
          "audio"
        ],
        "label": "語音轉文字",
        "max_out": null,
        "max_reasoning_effort_multiplier": null,
        "method_aliases": [],
        "native_endpoint": "audio_transcriptions",
        "out": null,
        "output": [
          "text"
        ],
        "path": "/v1/audio/transcriptions",
        "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_second": 0.0001
          }
        },
        "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": {
              "quoted_unit": "per input audio second"
            },
            "label": "input audio second",
            "units": [
              {
                "amount": "0.0001",
                "amount_unit": "usd_per_exact_native_unit",
                "billing_input": true,
                "estimate_only": false,
                "key": "audio_input_second",
                "label": "input audio second",
                "native_amount_usd_per_unit": "0.0001",
                "native_quantity": 1,
                "public_unit_label": "per input audio second",
                "quantity": 1,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "audio_input_second"
              }
            ]
          }
        ],
        "request_model_id": "mistralai/voxtral-mini-transcribe",
        "route_label": "Ultra",
        "status_reads": [
          "GET /v1/media/tasks/{task_id}"
        ],
        "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": "0.0001",
            "amount_unit": "usd_per_exact_native_unit",
            "billing_input": true,
            "estimate_only": false,
            "key": "audio_input_second",
            "label": "input audio second",
            "native_amount_usd_per_unit": "0.0001",
            "native_quantity": 1,
            "public_unit_label": "per input audio second",
            "quantity": 1,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "audio_input_second"
          }
        ]
      }
    }
  ],
  "model_id": "mistralai/voxtral-mini-transcribe",
  "nativeProvenance": {
    "input_facts_canonical_sha256": "8f41de8a88d0bf8c5d298783916a30915905037d6cf3302bd6e12f0a2c53f79d",
    "input_html_sha256": "cd2e6090b56ea6e56fb2d1ed9b41ba841516cda1cd804dd92a901ffb1b2a87a4",
    "private_audit_sha256": "50ff6aa8baaddc14a29d0c562778a7997168edc02568ca157dcc4f998ee49a48",
    "role": "historical-normalized-input-audit-hashes",
    "schema": "ailoot-native-model-provenance-v2"
  },
  "page": {
    "canonical": "https://ailoot.ai/models/zh-hant-tw/mistralai-voxtral-mini-transcribe/",
    "description": "Voxtral Mini Transcribe 2 將錄音轉為文字，並支援說話者分離、字詞層級時間戳記及詞彙偏向。Mistral 為此聚焦轉錄的版本記載 13 種語言及最長三小時錄音，與 Voxtral Realtime 不同。",
    "locale": "zh-hant-tw",
    "md_url": "https://ailoot.ai/models/zh-hant-tw/mistralai-voxtral-mini-transcribe/index.md",
    "title": "Mistral: Voxtral Mini Transcribe — Ailoot",
    "url": "https://ailoot.ai/models/zh-hant-tw/mistralai-voxtral-mini-transcribe/"
  },
  "rawModel": {
    "about": "Voxtral Mini Transcribe 2 是 Mistral AI 聚焦轉錄的 Voxtral 版本，在開發者模型卡中的識別碼為 voxtral-mini-2602。它專為錄音式批次轉錄設計，不同於原始 Voxtral Mini 3B 模型較廣泛的問答用途。輸入是音訊，結果是轉錄文字，可選擇附加說話者標籤與時間資訊。實際用途包括會議逐字稿、訪談分析、多方通話紀錄，以及與錄製媒體對齊的文字。\n\n原廠記載說話者分離及開始／結束時間，讓逐字稿可顯示誰在何時說話。字詞層級時間戳記支援字幕、音訊搜尋，以及文字段落與錄音位置的對齊。開發者指南允許片段或字詞層級的時間戳記粒度。對訪談，實用成品是附有說話者歸屬與時間的一連串段落；準備字幕時，字詞或片段時間可引導後續字幕步驟，不必從純逐字稿文字推測時間。\n\n上下文偏向接受最多 100 個字詞或片語，引導模型採用預期的姓名、技術術語及領域詞彙拼寫。Mistral 表示此功能針對英語最佳化，其他語言的支援屬實驗性。請根據錄音主題準備聚焦詞彙表，而非無關的詞彙集。一個原創範例是提供技術討論中可能出現的專案名稱與專門術語，再於完成的逐字稿中檢查拼寫。\n\n此版本支援十三種語言：英語、中文、印地語、西班牙語、阿拉伯語、法語、葡萄牙語、俄語、德語、日語、韓語、義大利語及荷蘭語。原廠也記載抗噪能力，以及單次請求最長三小時的錄音。這些屬於 Mini Transcribe 2 的錄音工作流程；原始 2507 音訊理解模型的上下文與時長說明描述的是另一版本。可使用自動語言偵測，指南也指出，明確提供已知音訊語言可改善轉錄準確度。\n\n在文件記載的開發者工作流程中，音訊可透過上傳檔案、先前上傳檔案的識別碼，或引用錄音提供。附帶的上傳示範接受 MP3、WAV、M4A、FLAC 及 OGG 錄音；使用示範上傳工作流程時，請選擇其中一種格式。保持錄音可解碼，並包含相關語音。對長篇材料，請保留識別碼與時間起點，讓任何後續摘錄或編輯仍可追溯來源。\n\n依轉錄參考文件，回應會包含文字與偵測到的語言；要求時也會包含片段，文件並另行記載串流轉錄事件。說話者分離是選用功能，預設為 false。指南指出，timestamp_granularities 與明確 language 設定目前不相容，因此請選擇所需時間工作流程或手動語言提示，而非合併兩者。說話者標記轉錄、詞彙偏向與時間資訊，應依預期結果選擇，不應從基本請求自行假定。\n\n重疊語音是實質限制：Mistral 表示，說話者重疊時，模型通常只轉錄其中一人。因此，附標籤的逐字稿不應被視為所有同時發言的完整紀錄。對會議紀錄，請對照錄音檢查困難重疊處，以及重要姓名或數字。模型用途是轉錄；摘要、翻譯或分析可以是建立在逐字稿上的獨立任務。Voxtral Realtime 有獨立的即時轉錄延遲型態，語音生成則屬於其他模型。\n\n請為結果的下一個用途做準備。會議工作流程可先保留逐字稿、說話者標籤及時間，再於另一階段擷取決策；媒體工作流程可利用時間定位段落並草擬字幕；術語密集的錄音可以包含聚焦的上下文偏向清單，並審查產生的拼寫。實用交付成果是連結來源錄音與設定中繼資料的文字，並讓此數字版本的轉錄模型與原始 Mini 模型及隨更新變動的 latest 名稱保持區別。",
    "alias_of": null,
    "aliases": [],
    "author": "Mistral",
    "capabilities": {
      "context_length": 16384,
      "manufacturer_input": [
        "audio"
      ],
      "manufacturer_output": [
        "transcription"
      ]
    },
    "card_routes": [
      {
        "label": "Ultra",
        "rates": [
          {
            "amount": "0.0001",
            "amount_unit": "usd_per_exact_native_unit",
            "billing_input": true,
            "estimate_only": false,
            "key": "audio_input_second",
            "label": "input audio second",
            "native_amount_usd_per_unit": "0.0001",
            "native_quantity": 1,
            "public_unit_label": "per input audio second",
            "quantity": 1,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "audio_input_second"
          }
        ],
        "summary": "完整的設定價格資訊請見詳細資料。"
      }
    ],
    "ctx": null,
    "formats": [
      "transcriptions"
    ],
    "id": "mistralai/voxtral-mini-transcribe",
    "input": [
      "audio"
    ],
    "kind": "audio",
    "max_out": null,
    "methods": [
      {
        "available": null,
        "cache_read": null,
        "cache_write": null,
        "cache_write_1h": null,
        "contract": {
          "data": {
            "all_results": "Retain the complete response and headers, every actual output, original returned identifiers and all usage fields. Recover the original operation without submitting creation again.",
            "errors": [
              {
                "code": null,
                "condition": "JSON 本文或明確的標準模型 ID 無效。",
                "http_status": 400,
                "recovery": "請保留回應，並修正指出的請求欄位。",
                "type": "invalid_request_error"
              },
              {
                "code": null,
                "condition": "Ailoot API 金鑰無效。",
                "http_status": 401,
                "recovery": "請使用您已獲授權的 Ailoot API 金鑰。",
                "type": "authentication_error"
              },
              {
                "code": null,
                "condition": "此金鑰群組未獲准使用該方法。",
                "http_status": 403,
                "recovery": "請保留回傳的錯誤詳細資訊。",
                "type": "permission_error"
              },
              {
                "code": null,
                "condition": "所選方法沒有獲准使用的路由。",
                "http_status": 404,
                "recovery": "請保留回傳的錯誤詳細資訊。",
                "type": "not_found_error"
              },
              {
                "code": null,
                "condition": "已接受的費率無法取得其所需的輸入數量或界限。",
                "http_status": 422,
                "recovery": "請保留回應，並使用已接受費率所要求的輸入表示方式。",
                "type": "price_unavailable"
              },
              {
                "code": null,
                "condition": "所需的儲存系統、路由、方法價格或預留額度無法使用。",
                "http_status": 503,
                "recovery": "請保留完整的原始回應。預留額度狀態不明並不代表可以重新提交。",
                "type": null
              },
              {
                "code": null,
                "condition": "原始結果、用量或結算需要查核。",
                "http_status": 502,
                "operation_id_source": "actual X-Client-Request-ID",
                "recovery": "請保留實際的請求 ID 與原始回應。請讀取現有的自有紀錄，切勿重新提交建立請求。",
                "response_headers": {
                  "x-should-retry": "false"
                },
                "type": "server_error"
              }
            ],
            "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 content URL"
                }
              ],
              "dedicated_method_polling_or_cancel": false,
              "mode": "synchronous_result_then_owned_library",
              "original_POST_adds_task_envelope": false,
              "status": [
                {
                  "http": "GET",
                  "id_source": "exact task_id from an existing owned media record",
                  "path": "/v1/media/tasks/{task_id}"
                }
              ],
              "unknown": "請保留實際的 X-Client-Request-ID 與完整回應。請讀取原始自有資產及其完全相符的簽署內容 URL；切勿重新提交結果不明的建立請求。"
            },
            "outputs": {
              "all_results": "保留完整回應與標頭、所有實際輸出、原始回傳的識別碼，以及所有用量欄位。恢復原始作業時，請勿再次提交建立請求。",
              "family": "text",
              "fields": [
                {
                  "description": null,
                  "name": "text (when present)",
                  "type": null
                },
                {
                  "description": null,
                  "name": "usage (when present)",
                  "type": null
                }
              ],
              "result": "完整的原始回應本文、狀態與轉送標頭。此處理常式不會加入通用的 JSON 結構、文字欄位或工作封裝。"
            },
            "parameters": [
              {
                "default_known": false,
                "enum": [
                  "mistralai/voxtral-mini-transcribe"
                ],
                "enum_known": true,
                "name": "model",
                "required": true,
                "type": "string"
              },
              {
                "default_known": false,
                "enum_known": false,
                "name": "input_audio",
                "required": true,
                "type": "object"
              }
            ],
            "request_schema": {
              "properties": {
                "input_audio": {
                  "properties": {
                    "data": {
                      "contentEncoding": "base64",
                      "type": "string"
                    },
                    "format": {
                      "type": "string"
                    }
                  },
                  "required": [
                    "data",
                    "format"
                  ],
                  "type": "object"
                },
                "model": {
                  "enum": [
                    "mistralai/voxtral-mini-transcribe"
                  ],
                  "type": "string"
                }
              },
              "required": [
                "model",
                "input_audio"
              ],
              "type": "object"
            },
            "schema_template": {
              "actual_file_preparation_required": true,
              "body": {
                "input_audio": {
                  "data": "${BASE64_ACTUAL_WAV_BYTES}",
                  "format": "wav"
                },
                "model": "mistralai/voxtral-mini-transcribe"
              },
              "content_type": "application/json"
            }
          },
          "input": {
            "content_type": "application/json",
            "material_conditions": [
              "此範例會讀取您實際使用且非空的 PCM WAV 檔案，將完整檔案位元組編碼為 base64，並將 input_audio.format 設為 wav 傳送。"
            ],
            "material_types": [
              "audio"
            ],
            "required": [
              "model",
              "input_audio"
            ]
          },
          "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 content URL"
              }
            ],
            "dedicated_method_polling_or_cancel": false,
            "mode": "synchronous_result_then_owned_library",
            "original_POST_adds_task_envelope": false,
            "status": [
              {
                "http": "GET",
                "id_source": "現有自有媒體紀錄中完全相符的 task_id",
                "path": "/v1/media/tasks/{task_id}"
              }
            ],
            "unknown": "Retain the actual X-Client-Request-ID and complete response. Read the original owned assets and their exact signed content URLs; never resubmit an uncertain creation."
          },
          "method": {
            "http": "POST",
            "path": "/v1/audio/transcriptions"
          },
          "output": {
            "all_results": "Retain the complete response and headers, every actual output, original returned identifiers and all usage fields. Recover the original operation without submitting creation again.",
            "family": "text",
            "fields": [
              {
                "description": null,
                "name": "text (when present)",
                "type": null
              },
              {
                "description": null,
                "name": "usage (when present)",
                "type": null
              }
            ],
            "result": "Complete original response body, status and forwarded headers. No universal JSON shape, text field or task envelope is added by this handler."
          }
        },
        "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": {
              "quoted_unit": "per input audio second"
            },
            "label": "input audio second",
            "units": [
              {
                "amount": "0.0001",
                "amount_unit": "usd_per_exact_native_unit",
                "billing_input": true,
                "estimate_only": false,
                "key": "audio_input_second",
                "label": "input audio second",
                "native_amount_usd_per_unit": "0.0001",
                "native_quantity": 1,
                "public_unit_label": "per input audio second",
                "quantity": 1,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "audio_input_second"
              }
            ]
          }
        ],
        "examples": [
          {
            "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\n: \"${AILOOT_AUDIO_FILE:?Set the path to your actual PCM WAV recording}\"\nexport AILOOT_AUDIO_FILE\npython3 - <<'PY_REQUEST'\nimport base64, io, json, os, wave\nfrom pathlib import Path\naudio = Path(os.environ['AILOOT_AUDIO_FILE']).read_bytes()\nif not (audio[:4] == b'RIFF' and audio[8:12] == b'WAVE'):\n    raise SystemExit('Supply your actual PCM WAV audio file')\nwith wave.open(io.BytesIO(audio), 'rb') as recording:\n    if recording.getcomptype() != 'NONE' or recording.getnframes() <= 0:\n        raise SystemExit('Supply a nonempty PCM WAV recording')\nrequest = {'model': 'mistralai/voxtral-mini-transcribe', 'input_audio': {'data': base64.b64encode(audio).decode('ascii'), 'format': 'wav'}}\nPath('request.json').write_text(json.dumps(request, ensure_ascii=False), encoding='utf-8')\nPY_REQUEST\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/audio/transcriptions \\\n  -H \"Authorization: Bearer $AILOOT_API_KEY\" -H 'Content-Type: application/json' \\\n  --data-binary @request.json -D response-headers.txt -o response.bin\n# Retain the complete original response, headers and actual X-Client-Request-ID.\n# Read existing owned records for recovery; do not resubmit an uncertain operation.\n",
            "label": "curl · actual WAV file and complete original result",
            "language": "bash"
          }
        ],
        "family": "openai",
        "fast_multiplier": null,
        "flex_multiplier": null,
        "fmt": "transcriptions",
        "hints": [
          "The example reads your actual nonempty PCM WAV file, encodes the complete file bytes as base64 and sends input_audio.format as wav.",
          "The format value in the example is the documented recipe; no model-specific format list, limit or default is asserted.",
          "Retain the complete response and headers, every actual output, original returned identifiers and all usage fields. Recover the original operation without submitting creation again."
        ],
        "http": "POST",
        "in": null,
        "input": [
          "audio"
        ],
        "label": "語音轉文字",
        "max_out": null,
        "max_reasoning_effort_multiplier": null,
        "method_aliases": [],
        "native_endpoint": "audio_transcriptions",
        "out": null,
        "output": [
          "text"
        ],
        "path": "/v1/audio/transcriptions",
        "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_second": 0.0001
          }
        },
        "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": {
              "quoted_unit": "per input audio second"
            },
            "label": "input audio second",
            "units": [
              {
                "amount": "0.0001",
                "amount_unit": "usd_per_exact_native_unit",
                "billing_input": true,
                "estimate_only": false,
                "key": "audio_input_second",
                "label": "input audio second",
                "native_amount_usd_per_unit": "0.0001",
                "native_quantity": 1,
                "public_unit_label": "per input audio second",
                "quantity": 1,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "audio_input_second"
              }
            ]
          }
        ],
        "request_model_id": "mistralai/voxtral-mini-transcribe",
        "route_label": "Ultra",
        "status_reads": [
          "GET /v1/media/tasks/{task_id}"
        ],
        "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": "0.0001",
            "amount_unit": "usd_per_exact_native_unit",
            "billing_input": true,
            "estimate_only": false,
            "key": "audio_input_second",
            "label": "input audio second",
            "native_amount_usd_per_unit": "0.0001",
            "native_quantity": 1,
            "public_unit_label": "per input audio second",
            "quantity": 1,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "audio_input_second"
          }
        ]
      }
    ],
    "model_aliases": [
      {
        "canonical_model_id": "mistralai/voxtral-mini-transcribe",
        "request_model_id": "mistralai/voxtral-mini-transcribe",
        "route_label": "Ultra"
      }
    ],
    "name": "Mistral: Voxtral Mini Transcribe",
    "price": {
      "in": null,
      "in_label": null,
      "out": null,
      "out_label": null,
      "sort_in": null,
      "sort_out": null,
      "varies": true
    },
    "short": "Voxtral Mini Transcribe 2 將錄音轉為文字，並支援說話者分離、字詞層級時間戳記及詞彙偏向。Mistral 為此聚焦轉錄的版本記載 13 種語言及最長三小時錄音，與 Voxtral Realtime 不同。"
  },
  "renderer_schema": {
    "method_order": "Original DTO methods order; every exact route/format/path/caller survives.",
    "prices": "Original public DTO fields and original native display HTML; no flattened or normalized offers."
  },
  "representation": "exact-public-dto-and-native-renderer-html",
  "representationNotes": {
    "current_reference": {
      "about_json_pointer": "/aboutHtml",
      "methods": [
        {
          "contract_json_pointer": "/methods/0/rawMethod/contract",
          "html_json_pointer": "/methods/0/html",
          "method_ordinal": 0
        }
      ],
      "role": "current-semantic-reference"
    },
    "raw_input": {
      "examples_role": "historical-input-not-current-ready-examples",
      "json_pointers": [
        "/rawModel",
        "/methods/0/rawMethod"
      ],
      "role": "historical-owner-input"
    },
    "schema": "ailoot-native-model-representations-v1"
  },
  "schema": "ailoot-static-model-facts-v1",
  "schema_version": 1,
  "shortText": "Voxtral Mini Transcribe 2 將錄音轉為文字，並支援說話者分離、字詞層級時間戳記及詞彙偏向。Mistral 為此聚焦轉錄的版本記載 13 種語言及最長三小時錄音，與 Voxtral Realtime 不同。",
  "source": {
    "audit_sha256": "2e00086bcbfc28e64d0cebe97aa47c17d8d5618963027f8ffb9dc6123d7d25b1",
    "bridge_map_sha256": "1125275768b9636fc8461bc7da5061239a81ddfe508e2557843ca42c58ab0036",
    "raw_model_json_sha256": "273395c4d9b71ff51d46a0b7512a0ed70df9aa6c578f0e978b9f99725d81084b",
    "renderer_sha256": "13a3fc1b22d07359278e2249d630bfc9bb9e6416c71ba53def933fb5a903660b"
  },
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