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  "aboutHtml": "<p>Voxtral Small 1.0 24B 2507 在 Mistral Small 語言模型骨幹上加入音訊輸入與語音理解。它接受音訊與文字並回傳文字，包括逐字稿、關於錄音的回答、翻譯或結構化摘要。這是具名的 24B 語音理解版本，與 Voxtral Mini、針對轉錄最佳化的服務變體，以及後來的 Voxtral 語音生成或即時版本不同。</p><p>轉錄與音訊理解</p><p>模型有專用的純轉錄模式。原廠指出，預設會自動預測來源音訊語言，並據此轉錄。當所需成品是實際說出的措辭，而非解讀或摘要時，請使用此模式。指出結果應保留原始語言，或在其後另行要求翻譯。</p><p>音訊理解允許直接對錄音提問，不必先串接獨立語音辨識模型與文字模型。請求可以詢問討論了什麼主題、陳述了什麼決策，或錄音中的哪些資訊回答特定問題。結果可為精簡回應或有條理的摘要，而非每個口述字詞的完整逐字稿。</p><p>製作會議摘要時，請提供錄音並定義回傳欄位：主題、明確陳述的決策及後續行動。只有錄音實際提及時才要求姓名或日期，並將未解細節與決策分開。對訪談，請要求回答特定問題，並提供讓回答可理解的周邊上下文。這些輸出設計將音訊任務連結到之後可供使用的文件。</p><p>上下文、時長與語言</p><p>原廠記載 32k 個 token 上下文，以及轉錄最長 30 分鐘或理解最長 40 分鐘的音訊。兩個時長數字具有不同任務範圍。請先選擇期望操作再選錄音，並在規劃可用上下文時納入文字指令與對話。長錄音與長篇書面回答都會消耗資源；時長說明不是獨立的無限回答長度承諾。</p><p>發布內容將英語、西班牙語、法語、葡萄牙語、印地語、德語、荷蘭語及義大利語列為主要支援語言，並提供自動語言偵測。進行語音翻譯時，請設定目標語言，以及應保留原始形式的術語。對以某種語言錄製的音訊提問時，請區分錄音語言與回答應使用的書面語言。</p><p>多段錄音與後續問題</p><p>模型卡支援單則訊息中的多個音訊輸入，以及多個使用者回合中的音訊。比較錄音時，請為各錄音提供識別碼並說明角色。實際請求可以比較兩個口述說明版本、詢問哪些條件改變，並回傳每段錄音各有一欄的表格。識別碼有助於讓模型發現對應正確來源。</p><p>後續追問可以保留先前問題與回答，同時詢問更細的資訊或提供另一段錄音。例如，先要求列出討論中的決策，再詢問哪項決策與特定需求相關。同一版本也展示純文字與純音訊請求。文字骨幹可處理書面問題或結果，音訊能力則提供語音證據。</p><p>語音驅動函式</p><p>原廠描述依口述意圖進行函式呼叫，並將發布模型卡中的函式呼叫範例標為實驗性支援。在此工作流程中，應用程式定義函式及引數，模型依請求準備呼叫，應用程式再執行並提供結果。因此，語音查詢可以利用連接工具的資訊回傳書面回答。函式呼叫不表示模型自動擁有外部服務，或僅因說出動作名稱就會執行。</p><p>請明確保留函式用途與必要資訊。如果錄音要求操作卻省略必要值，應用程式仍需要該值才能執行函式。請區分口述請求、建議引數與回傳結果，讓下一次回應能引用實際操作結果。</p><p>建議設定與實用界線</p><p>對音訊理解與聊天補全，模型卡建議 temperature 0.2、top-p 0.95；對轉錄則建議 temperature 0.0。它明確指出，這個發布的使用流程不支援系統提示詞，因此請將任務與回應需求放在使用者輸入中，不要從其他 Mistral 模型移植系統提示詞慣例。</p><p>請選擇包含問題相關材料的錄音，保持語音清楚，並指定結果應為逐字稿、翻譯、回答或摘要。文件記載的輸出是文字。語音回應需要文字轉語音元件，而說話者識別、詳細說話者分離或字詞層級時間戳記，不應從此確切版本的一般音訊理解描述推定。</p><p>模型卡的 500 個 token 生成範例是範例設定，並非另行陳述的最大輸出容量。準備可重複工作流程時，請保留 2507 版本、依任務而定的時長指引及輸入語言。實用的最終成品是所要求的文字，連結到錄音，並採用下一份文件或應用步驟所需格式。</p>",
  "aboutText": "Voxtral Small 1.0 24B 2507 在 Mistral Small 語言模型骨幹上加入音訊輸入與語音理解。它接受音訊與文字並回傳文字，包括逐字稿、關於錄音的回答、翻譯或結構化摘要。這是具名的 24B 語音理解版本，與 Voxtral Mini、針對轉錄最佳化的服務變體，以及後來的 Voxtral 語音生成或即時版本不同。\n\n轉錄與音訊理解\n\n模型有專用的純轉錄模式。原廠指出，預設會自動預測來源音訊語言，並據此轉錄。當所需成品是實際說出的措辭，而非解讀或摘要時，請使用此模式。指出結果應保留原始語言，或在其後另行要求翻譯。\n\n音訊理解允許直接對錄音提問，不必先串接獨立語音辨識模型與文字模型。請求可以詢問討論了什麼主題、陳述了什麼決策，或錄音中的哪些資訊回答特定問題。結果可為精簡回應或有條理的摘要，而非每個口述字詞的完整逐字稿。\n\n製作會議摘要時，請提供錄音並定義回傳欄位：主題、明確陳述的決策及後續行動。只有錄音實際提及時才要求姓名或日期，並將未解細節與決策分開。對訪談，請要求回答特定問題，並提供讓回答可理解的周邊上下文。這些輸出設計將音訊任務連結到之後可供使用的文件。\n\n上下文、時長與語言\n\n原廠記載 32k 個 token 上下文，以及轉錄最長 30 分鐘或理解最長 40 分鐘的音訊。兩個時長數字具有不同任務範圍。請先選擇期望操作再選錄音，並在規劃可用上下文時納入文字指令與對話。長錄音與長篇書面回答都會消耗資源；時長說明不是獨立的無限回答長度承諾。\n\n發布內容將英語、西班牙語、法語、葡萄牙語、印地語、德語、荷蘭語及義大利語列為主要支援語言，並提供自動語言偵測。進行語音翻譯時，請設定目標語言，以及應保留原始形式的術語。對以某種語言錄製的音訊提問時，請區分錄音語言與回答應使用的書面語言。\n\n多段錄音與後續問題\n\n模型卡支援單則訊息中的多個音訊輸入，以及多個使用者回合中的音訊。比較錄音時，請為各錄音提供識別碼並說明角色。實際請求可以比較兩個口述說明版本、詢問哪些條件改變，並回傳每段錄音各有一欄的表格。識別碼有助於讓模型發現對應正確來源。\n\n後續追問可以保留先前問題與回答，同時詢問更細的資訊或提供另一段錄音。例如，先要求列出討論中的決策，再詢問哪項決策與特定需求相關。同一版本也展示純文字與純音訊請求。文字骨幹可處理書面問題或結果，音訊能力則提供語音證據。\n\n語音驅動函式\n\n原廠描述依口述意圖進行函式呼叫，並將發布模型卡中的函式呼叫範例標為實驗性支援。在此工作流程中，應用程式定義函式及引數，模型依請求準備呼叫，應用程式再執行並提供結果。因此，語音查詢可以利用連接工具的資訊回傳書面回答。函式呼叫不表示模型自動擁有外部服務，或僅因說出動作名稱就會執行。\n\n請明確保留函式用途與必要資訊。如果錄音要求操作卻省略必要值，應用程式仍需要該值才能執行函式。請區分口述請求、建議引數與回傳結果，讓下一次回應能引用實際操作結果。\n\n建議設定與實用界線\n\n對音訊理解與聊天補全，模型卡建議 temperature 0.2、top-p 0.95；對轉錄則建議 temperature 0.0。它明確指出，這個發布的使用流程不支援系統提示詞，因此請將任務與回應需求放在使用者輸入中，不要從其他 Mistral 模型移植系統提示詞慣例。\n\n請選擇包含問題相關材料的錄音，保持語音清楚，並指定結果應為逐字稿、翻譯、回答或摘要。文件記載的輸出是文字。語音回應需要文字轉語音元件，而說話者識別、詳細說話者分離或字詞層級時間戳記，不應從此確切版本的一般音訊理解描述推定。\n\n模型卡的 500 個 token 生成範例是範例設定，並非另行陳述的最大輸出容量。準備可重複工作流程時，請保留 2507 版本、依任務而定的時長指引及輸入語言。實用的最終成品是所要求的文字，連結到錄音，並採用下一份文件或應用步驟所需格式。",
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      "html": "<div class=\"sheet-head\"><span class=\"mav\" aria-hidden=\"true\">•</span><h2 id=\"sheet-title\">Mistral: Voxtral Small 24B 2507 STT</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-small-24b-2507-stt</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-small-24b-2507-stt\">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 Small 1.0 24B 2507 是用於轉錄、語音翻譯、問答及摘要的文字與音訊模型。原廠記載 32k 上下文、轉錄最長 30 分鐘或理解最長 40 分鐘、支援多個音訊輸入，並產生文字結果。</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 Small 1.0 24B 2507 在 Mistral Small 語言模型骨幹上加入音訊輸入與語音理解。它接受音訊與文字並回傳文字，包括逐字稿、關於錄音的回答、翻譯或結構化摘要。這是具名的 24B 語音理解版本，與 Voxtral Mini、針對轉錄最佳化的服務變體，以及後來的 Voxtral 語音生成或即時版本不同。</p><p>轉錄與音訊理解</p><p>模型有專用的純轉錄模式。原廠指出，預設會自動預測來源音訊語言，並據此轉錄。當所需成品是實際說出的措辭，而非解讀或摘要時，請使用此模式。指出結果應保留原始語言，或在其後另行要求翻譯。</p><p>音訊理解允許直接對錄音提問，不必先串接獨立語音辨識模型與文字模型。請求可以詢問討論了什麼主題、陳述了什麼決策，或錄音中的哪些資訊回答特定問題。結果可為精簡回應或有條理的摘要，而非每個口述字詞的完整逐字稿。</p><p>製作會議摘要時，請提供錄音並定義回傳欄位：主題、明確陳述的決策及後續行動。只有錄音實際提及時才要求姓名或日期，並將未解細節與決策分開。對訪談，請要求回答特定問題，並提供讓回答可理解的周邊上下文。這些輸出設計將音訊任務連結到之後可供使用的文件。</p><p>上下文、時長與語言</p><p>原廠記載 32k 個 token 上下文，以及轉錄最長 30 分鐘或理解最長 40 分鐘的音訊。兩個時長數字具有不同任務範圍。請先選擇期望操作再選錄音，並在規劃可用上下文時納入文字指令與對話。長錄音與長篇書面回答都會消耗資源；時長說明不是獨立的無限回答長度承諾。</p><p>發布內容將英語、西班牙語、法語、葡萄牙語、印地語、德語、荷蘭語及義大利語列為主要支援語言，並提供自動語言偵測。進行語音翻譯時，請設定目標語言，以及應保留原始形式的術語。對以某種語言錄製的音訊提問時，請區分錄音語言與回答應使用的書面語言。</p><p>多段錄音與後續問題</p><p>模型卡支援單則訊息中的多個音訊輸入，以及多個使用者回合中的音訊。比較錄音時，請為各錄音提供識別碼並說明角色。實際請求可以比較兩個口述說明版本、詢問哪些條件改變，並回傳每段錄音各有一欄的表格。識別碼有助於讓模型發現對應正確來源。</p><p>後續追問可以保留先前問題與回答，同時詢問更細的資訊或提供另一段錄音。例如，先要求列出討論中的決策，再詢問哪項決策與特定需求相關。同一版本也展示純文字與純音訊請求。文字骨幹可處理書面問題或結果，音訊能力則提供語音證據。</p><p>語音驅動函式</p><p>原廠描述依口述意圖進行函式呼叫，並將發布模型卡中的函式呼叫範例標為實驗性支援。在此工作流程中，應用程式定義函式及引數，模型依請求準備呼叫，應用程式再執行並提供結果。因此，語音查詢可以利用連接工具的資訊回傳書面回答。函式呼叫不表示模型自動擁有外部服務，或僅因說出動作名稱就會執行。</p><p>請明確保留函式用途與必要資訊。如果錄音要求操作卻省略必要值，應用程式仍需要該值才能執行函式。請區分口述請求、建議引數與回傳結果，讓下一次回應能引用實際操作結果。</p><p>建議設定與實用界線</p><p>對音訊理解與聊天補全，模型卡建議 temperature 0.2、top-p 0.95；對轉錄則建議 temperature 0.0。它明確指出，這個發布的使用流程不支援系統提示詞，因此請將任務與回應需求放在使用者輸入中，不要從其他 Mistral 模型移植系統提示詞慣例。</p><p>請選擇包含問題相關材料的錄音，保持語音清楚，並指定結果應為逐字稿、翻譯、回答或摘要。文件記載的輸出是文字。語音回應需要文字轉語音元件，而說話者識別、詳細說話者分離或字詞層級時間戳記，不應從此確切版本的一般音訊理解描述推定。</p><p>模型卡的 500 個 token 生成範例是範例設定，並非另行陳述的最大輸出容量。準備可重複工作流程時，請保留 2507 版本、依任務而定的時長指引及輸入語言。實用的最終成品是所要求的文字，連結到錄音，並採用下一份文件或應用步驟所需格式。</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-small-24b-2507-stt</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><tr><th data-cell-label=\"欄位\" scope=\"row\"><span class=\"card-cell-label\">欄位</span><code class=\"card-field-name\">language</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>選填</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><tr><th data-cell-label=\"欄位\" scope=\"row\"><span class=\"card-cell-label\">欄位</span><code class=\"card-field-name\">temperature</code></th><td data-cell-label=\"類型\" data-field-type><span class=\"card-cell-label\">類型</span><code>number</code></td><td data-cell-label=\"要求\"><span class=\"card-cell-label\">要求</span>選填</td><td data-cell-label=\"值與限制\"><span class=\"card-cell-label\">值與限制</span><div>最小值: 0</div><div>最大值: 1</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\">response_format</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>選填</td><td data-cell-label=\"值與限制\"><span class=\"card-cell-label\">值與限制</span><div>json, verbose_json</div></td><td data-cell-label=\"預設值\" data-default=\"known\"><span class=\"card-cell-label\">預設值</span>json</td></tr><tr><th data-cell-label=\"欄位\" scope=\"row\"><span class=\"card-cell-label\">欄位</span><code class=\"card-field-name\">timestamp_granularities</code></th><td data-cell-label=\"類型\" data-field-type><span class=\"card-cell-label\">類型</span><code>array</code></td><td data-cell-label=\"要求\"><span class=\"card-cell-label\">要求</span>選填</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><tr><th data-cell-label=\"欄位\" scope=\"row\"><span class=\"card-cell-label\">欄位</span><code class=\"card-field-name\">provider</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>選填</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>請讀取實際的 WAV 檔案，並將其真實位元組編碼，用於所宣告的 JSON input_audio；此確切的純 JSON 宣告並未提供 multipart 路由。</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> · 實際回傳的 task_id 或媒體庫紀錄</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 class=\"card-result-process\" data-billing-basis><h5>最終費用的計算方式</h5><p class=\"note-s\">顯示的費率用於在生成前估算費用。最終費用依原始生成作業記錄的成本計算。實測的輸出時間長度與預估數量並非最終計費數量。</p></div><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>供比較的預估費率</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>預估數量</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=\"預估數量\"><span class=\"card-cell-label\">預估數量</span>—</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 · 僅供比較的估算</span> <b>—</b> <span class=\"price-unit\">/ 1K Token</span></div><div><span>輸出 · 輸出 Token · 僅供比較的估算</span> <b>—</b> <span class=\"price-unit\">/ 1K Token</span></div><div><span>輸入 · 讀取快取 · 僅供比較的估算</span> <b>—</b> <span class=\"price-unit\">/ 1K Token</span></div><div><span>輸入 · 寫入快取 · 僅供比較的估算</span> <b>—</b> <span class=\"price-unit\">/ 1K Token</span></div><div><span>輸入 · 寫入快取，1 小時 · 僅供比較的估算</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=\"預估數量\"><span class=\"card-cell-label\">預估數量</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 · 僅供比較的估算</span> <b>$0.0001</b> <span class=\"price-unit\">每秒輸入音訊</span></div></td></tr><tr><th data-cell-label=\"設定\" scope=\"row\"><span class=\"card-cell-label\">設定</span>預估生成費用</th><td data-cell-label=\"費率表\"><span class=\"card-cell-label\">費率表</span>—</td><td data-cell-label=\"預估數量\"><span class=\"card-cell-label\">預估數量</span>單次生成估算值</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>輸出 · 預估生成費用 · 僅供比較的估算</span> <b>$0.0001</b> <span class=\"price-unit\">生成前估算</span></div><p class=\"note-s\">此估算並非額外費用，也不是本次生成完成後的固定費率。</p></td></tr></tbody></table></div></div><p class=\"note-s\">Ailoot 會在請求前預留估算金額。取得結果後，依實測用量結算最終費用。串流結算採用最終用量紀錄。<a href=\"/docs/zh-hant-tw/billing/reserve/\">預留金額與結算的運作方式 →</a></p></section><section class=\"card-section\" data-card-section=\"examples\"><h3 tabindex=\"-1\">請求範例</h3><h4>Ailoot Ultra · 語音轉文字</h4><div class=\"code-group\"><div class=\"cg-bar\"><div class=\"cg-tabs\" role=\"tablist\" aria-label=\"程式碼版本\"><button class=\"cg-tab\" id=\"model-code-1947-tab-0\" role=\"tab\" type=\"button\" aria-controls=\"model-code-1947-panel-0\" aria-selected=\"true\" tabindex=\"0\">curl · 精確的原生請求主體與完整結果</button></div><div class=\"cg-tools\"><button class=\"cg-btn cg-copy\" type=\"button\" aria-label=\"複製程式碼\"><svg class=\"cp\" viewBox=\"0 0 16 16\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.4\"><rect x=\"5.25\" y=\"5.25\" width=\"8.5\" height=\"8.5\" rx=\"1.75\"/><path d=\"M10.75 5.25V3.5a1.25 1.25 0 0 0-1.25-1.25H3.5A1.25 1.25 0 0 0 2.25 3.5v6a1.25 1.25 0 0 0 1.25 1.25h1.75\"/></svg><svg class=\"ok\" viewBox=\"0 0 16 16\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.4\"><path d=\"m3 8.5 3.25 3.25L13 5\"/></svg></button></div></div><div class=\"cg-body\"><div class=\"cg-pane\" id=\"model-code-1947-panel-0\" role=\"tabpanel\" aria-labelledby=\"model-code-1947-tab-0\"><pre data-lang=\"bash\"><code>set -eu\n: &quot;${AILOOT_API_KEY:?Set your Ailoot API key}&quot;\n: &quot;${AILOOT_AUDIO_FILE:?Set the path to your actual WAV recording}&quot;\npython3 - &lt;&lt;&#39;PY_REQUEST&#39;\nimport json,os\nfrom pathlib import Path\nimport base64\naudio=Path(os.environ[&#39;AILOOT_AUDIO_FILE&#39;]).read_bytes()\nif not (audio[:4]==b&#39;RIFF&#39; and audio[8:12]==b&#39;WAVE&#39;): raise SystemExit(&#39;Supply an actual WAV audio file&#39;)\nif len(audio)&gt;26214400: raise SystemExit(&#39;Use a documented supported large-file flow&#39;)\nrequest={&#39;model&#39;: &#39;mistralai/voxtral-small-24b-2507-stt&#39;, &#39;input_audio&#39;: {&#39;data&#39;: &#39;${BASE64_ACTUAL_WAV_BYTES}&#39;, &#39;format&#39;: &#39;wav&#39;}}\nrequest[&#39;input_audio&#39;][&#39;data&#39;]=base64.b64encode(audio).decode(&#39;ascii&#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 $AILOOT_API_KEY&quot; -H &#39;Content-Type: application/json&#39; \\\n  --data-binary @request.json -D response-headers.txt -o response.bin\n# Keep the complete original response and headers. Read every returned segment, word and usage field.\n# Preserve actual operation/task/asset IDs; continue reads of the original result without resubmitting.\n</code></pre></div></div></div></section><section class=\"card-section\" data-card-section=\"results\"><h3 tabindex=\"-1\">接收並儲存結果</h3><h4>Ailoot Ultra · 語音轉文字</h4><ul class=\"card-result-paths\"><li><code>GET /v1/media/tasks/{task_id}</code></li><li><code>GET /v1/media/assets/{asset_id}/content</code></li><li><code>GET /v1/media/assets</code></li><li><code>GET /v1/media/assets/{asset_id}</code></li></ul><details class=\"card-about\"><summary>其他內容讀取方式</summary><div class=\"code-group\"><div class=\"cg-bar\"><div class=\"cg-tabs\" role=\"tablist\" aria-label=\"程式碼版本\"><button class=\"cg-tab\" id=\"model-code-1948-tab-0\" role=\"tab\" type=\"button\" aria-controls=\"model-code-1948-panel-0\" aria-selected=\"true\" tabindex=\"0\">讀取現有且屬於自己的素材</button></div><div class=\"cg-tools\"><button class=\"cg-btn cg-copy\" type=\"button\" aria-label=\"複製程式碼\"><svg class=\"cp\" viewBox=\"0 0 16 16\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.4\"><rect x=\"5.25\" y=\"5.25\" width=\"8.5\" height=\"8.5\" rx=\"1.75\"/><path d=\"M10.75 5.25V3.5a1.25 1.25 0 0 0-1.25-1.25H3.5A1.25 1.25 0 0 0 2.25 3.5v6a1.25 1.25 0 0 0 1.25 1.25h1.75\"/></svg><svg class=\"ok\" viewBox=\"0 0 16 16\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.4\"><path d=\"m3 8.5 3.25 3.25L13 5\"/></svg></button></div></div><div class=\"cg-body\"><div class=\"cg-pane\" id=\"model-code-1948-panel-0\" role=\"tabpanel\" aria-labelledby=\"model-code-1948-tab-0\"><pre data-lang=\"bash\"><code>set -eu\n: &quot;${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 owned-assets.json\n# Preserve every returned asset and follow its exact signed content URL. Do not construct a signed token.\n</code></pre></div></div></div></details><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\">保留回傳的 X-Client-Request-ID，以供核對。僅讀取實際回傳的 task_id/asset_id 值或自己擁有的媒體庫；請勿以作業 ID 組成任務 URL，也請勿重新提交建立請求。</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</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</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\">segments[]</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\">words[]</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\">speaker fields</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\">timestamps</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></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-small-24b-2507-stt&amp;route=Ultra&amp;caller=mistralai%2Fvoxtral-small-24b-2507-stt&amp;fmt=transcriptions\"><code>mistralai/voxtral-small-24b-2507-stt</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-small-24b-2507-stt&amp;route=Ultra&amp;caller=mistralai%2Fvoxtral-small-24b-2507-stt&amp;fmt=transcriptions\"><code>mistralai/voxtral-small-24b-2507-stt</code></a></p></section></div>",
      "method_identity": {
        "effective_request_model_id": "mistralai/voxtral-small-24b-2507-stt",
        "fmt": "transcriptions",
        "http": "POST",
        "path": "/v1/audio/transcriptions",
        "request_model_id": "mistralai/voxtral-small-24b-2507-stt",
        "route_label": "Ultra"
      },
      "method_key": "Ultra|transcriptions|/v1/audio/transcriptions|mistralai%2Fvoxtral-small-24b-2507-stt",
      "ordinal": 0,
      "rawMethod": {
        "available": null,
        "billing_basis": {
          "basis": "original_invoice_usd",
          "description": "顯示的費率用於在生成前估算費用。最終費用依原始生成作業記錄的成本計算。實測的輸出時間長度與預估數量並非最終計費數量。",
          "forecast_quantity_is_estimate": true,
          "physical_output_is_billable_quantity": false,
          "version": "original_invoice_usd_v1"
        },
        "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.",
            "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": "保留回傳的 X-Client-Request-ID，以供核對。僅讀取實際回傳的 task_id/asset_id 值或自己擁有的媒體庫；請勿以作業 ID 組成任務 URL，也請勿重新提交建立請求。"
            },
            "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",
                  "type": null
                },
                {
                  "description": null,
                  "name": "usage",
                  "type": null
                },
                {
                  "description": null,
                  "name": "segments[]",
                  "type": null
                },
                {
                  "description": null,
                  "name": "words[]",
                  "type": null
                },
                {
                  "description": null,
                  "name": "speaker fields",
                  "type": null
                },
                {
                  "description": null,
                  "name": "timestamps",
                  "type": null
                }
              ]
            },
            "parameters": [
              {
                "enum": [
                  "mistralai/voxtral-small-24b-2507-stt"
                ],
                "enum_known": true,
                "name": "model",
                "required": true,
                "type": "string"
              },
              {
                "name": "input_audio",
                "required": true,
                "type": "object"
              },
              {
                "name": "language",
                "required": false,
                "type": "string"
              },
              {
                "maximum": 1,
                "minimum": 0,
                "name": "temperature",
                "required": false,
                "type": "number"
              },
              {
                "default": "json",
                "default_known": true,
                "enum": [
                  "json",
                  "verbose_json"
                ],
                "enum_known": true,
                "name": "response_format",
                "required": false,
                "type": "string"
              },
              {
                "items": {
                  "enum": [
                    "segment",
                    "word"
                  ],
                  "type": "string"
                },
                "name": "timestamp_granularities",
                "required": false,
                "type": "array"
              },
              {
                "name": "provider",
                "required": false,
                "type": "object"
              }
            ],
            "request_schema": {
              "properties": {
                "input_audio": {
                  "properties": {
                    "data": {
                      "contentEncoding": "base64",
                      "type": "string"
                    },
                    "format": {
                      "enum": [
                        "wav",
                        "mp3",
                        "flac",
                        "m4a",
                        "ogg",
                        "webm",
                        "aac"
                      ],
                      "type": "string"
                    }
                  },
                  "required": [
                    "data",
                    "format"
                  ],
                  "type": "object"
                },
                "language": {
                  "description": "ISO-639-1 code; omitted means auto-detection",
                  "type": "string"
                },
                "model": {
                  "enum": [
                    "mistralai/voxtral-small-24b-2507-stt"
                  ],
                  "type": "string"
                },
                "provider": {
                  "description": "Data policy and exact provider options; order/only/ignore are not applied to STT",
                  "properties": {
                    "data_collection": {
                      "enum": [
                        "allow",
                        "deny",
                        null
                      ],
                      "type": [
                        "string",
                        "null"
                      ]
                    },
                    "options": {
                      "type": "object"
                    },
                    "zdr": {
                      "type": [
                        "boolean",
                        "null"
                      ]
                    }
                  },
                  "type": "object"
                },
                "response_format": {
                  "default": "json",
                  "description": "verbose_json requires exact model/provider support",
                  "enum": [
                    "json",
                    "verbose_json"
                  ],
                  "type": "string"
                },
                "temperature": {
                  "maximum": 1,
                  "minimum": 0,
                  "type": "number"
                },
                "timestamp_granularities": {
                  "description": "Only used with supported verbose_json",
                  "items": {
                    "enum": [
                      "segment",
                      "word"
                    ],
                    "type": "string"
                  },
                  "type": "array"
                }
              },
              "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-small-24b-2507-stt"
              },
              "content_type": "application/json"
            }
          },
          "input": {
            "content_type": "application/json",
            "material_conditions": [
              "請讀取實際的 WAV 檔案，並將其真實位元組編碼，用於所宣告的 JSON input_audio；此確切的純 JSON 宣告並未提供 multipart 路由。"
            ],
            "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 URL; never construct token"
              }
            ],
            "mode": "synchronous_result_then_owned_library",
            "operation_id_is_not_task_id": true,
            "status": [
              {
                "http": "GET",
                "id_source": "實際回傳的 task_id 或媒體庫紀錄",
                "path": "/v1/media/tasks/{task_id}"
              }
            ],
            "unknown": "Keep the returned X-Client-Request-ID for reconciliation. Read only actual returned task_id/asset_id values or the owned media library; never build a task URL from the operation ID and never resubmit 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",
                "type": null
              },
              {
                "description": null,
                "name": "usage",
                "type": null
              },
              {
                "description": null,
                "name": "segments[]",
                "type": null
              },
              {
                "description": null,
                "name": "words[]",
                "type": null
              },
              {
                "description": null,
                "name": "speaker fields",
                "type": null
              },
              {
                "description": null,
                "name": "timestamps",
                "type": null
              }
            ]
          }
        },
        "ctx": null,
        "declared_pricing_profiles": [
          {
            "dimensions": {
              "regime": "base"
            },
            "label": "Base token rates",
            "units": [
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "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": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "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": true,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "output_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "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": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "cached_input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "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": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "generic_cache_creation_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "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": true,
                "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": false,
                "estimate_only": true,
                "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": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "audio_input_second"
              }
            ]
          },
          {
            "basis": "此估算並非額外費用，也不是本次生成完成後的固定費率。",
            "dimensions": {
              "forecast_quantity": "one generation estimate"
            },
            "label": "預估生成費用",
            "units": [
              {
                "amount": "0.0001",
                "amount_unit": "usd_per_exact_native_unit",
                "billing_input": false,
                "estimate_only": true,
                "key": "forecast_usd",
                "label": "Estimated generation cost",
                "native_amount_usd_per_unit": "0.0001",
                "native_quantity": 1,
                "public_unit_label": "estimate before generation",
                "quantity": 1,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "request_estimate"
              }
            ]
          }
        ],
        "examples": [
          {
            "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\n: \"${AILOOT_AUDIO_FILE:?Set the path to your actual WAV recording}\"\npython3 - <<'PY_REQUEST'\nimport json,os\nfrom pathlib import Path\nimport base64\naudio=Path(os.environ['AILOOT_AUDIO_FILE']).read_bytes()\nif not (audio[:4]==b'RIFF' and audio[8:12]==b'WAVE'): raise SystemExit('Supply an actual WAV audio file')\nif len(audio)>26214400: raise SystemExit('Use a documented supported large-file flow')\nrequest={'model': 'mistralai/voxtral-small-24b-2507-stt', 'input_audio': {'data': '${BASE64_ACTUAL_WAV_BYTES}', 'format': 'wav'}}\nrequest['input_audio']['data']=base64.b64encode(audio).decode('ascii')\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 $AILOOT_API_KEY\" -H 'Content-Type: application/json' \\\n  --data-binary @request.json -D response-headers.txt -o response.bin\n# Keep the complete original response and headers. Read every returned segment, word and usage field.\n# Preserve actual operation/task/asset IDs; continue reads of the original result without resubmitting.\n",
            "label": "curl · exact native body and complete result",
            "language": "bash"
          },
          {
            "code": "set -eu\n: \"${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 owned-assets.json\n# Preserve every returned asset and follow its exact signed content URL. Do not construct a signed token.\n",
            "label": "Read existing owned assets",
            "language": "bash"
          }
        ],
        "family": "openai",
        "fast_multiplier": null,
        "flex_multiplier": null,
        "fmt": "transcriptions",
        "hints": [
          "Use the exact caller model ID and documented input representation.",
          "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": "original_invoice_usd",
          "image_input_price": null,
          "image_output_price": null
        },
        "pricing_profiles": [
          {
            "dimensions": {
              "regime": "base"
            },
            "label": "Base token rates",
            "units": [
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "input_price",
                "label": "Input tokens",
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            "dimensions": {
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            ]
          },
          {
            "basis": "This estimate is not an additional charge or a fixed rate for the completed generation.",
            "dimensions": {
              "forecast_quantity": "one generation estimate"
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            "label": "Estimated generation cost",
            "units": [
              {
                "amount": "0.0001",
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                "label": "Estimated generation cost",
                "native_amount_usd_per_unit": "0.0001",
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          }
        ],
        "request_model_id": "mistralai/voxtral-small-24b-2507-stt",
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        "status_reads": [
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        "tiers": [],
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          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
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            "key": "cache_write_1h_price",
            "label": "Cache write, 1 hour",
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            "native_unit": "one_hour_cache_creation_token",
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            "key": "audio_input_second",
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  ],
  "model_id": "mistralai/voxtral-small-24b-2507-stt",
  "nativeProvenance": {
    "input_facts_canonical_sha256": "9ac30b2966d9d629421becb941be7674ebe756978d62c74cf94cb2d1b294c07f",
    "input_html_sha256": "1151302115abba789444b62688edcdf10cd072501ae3da023c56cf65c81258e1",
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  "page": {
    "canonical": "https://ailoot.ai/models/zh-hant-tw/mistralai-voxtral-small-24b-2507-stt/",
    "description": "Voxtral Small 1.0 24B 2507 是用於轉錄、語音翻譯、問答及摘要的文字與音訊模型。原廠記載 32k 上下文、轉錄最長 30 分鐘或理解最長 40 分鐘、支援多個音訊輸入，並產生文字結果。",
    "locale": "zh-hant-tw",
    "md_url": "https://ailoot.ai/models/zh-hant-tw/mistralai-voxtral-small-24b-2507-stt/index.md",
    "title": "Mistral: Voxtral Small 24B 2507 STT — Ailoot",
    "url": "https://ailoot.ai/models/zh-hant-tw/mistralai-voxtral-small-24b-2507-stt/"
  },
  "rawModel": {
    "about": "Voxtral Small 1.0 24B 2507 在 Mistral Small 語言模型骨幹上加入音訊輸入與語音理解。它接受音訊與文字並回傳文字，包括逐字稿、關於錄音的回答、翻譯或結構化摘要。這是具名的 24B 語音理解版本，與 Voxtral Mini、針對轉錄最佳化的服務變體，以及後來的 Voxtral 語音生成或即時版本不同。\n\n轉錄與音訊理解\n\n模型有專用的純轉錄模式。原廠指出，預設會自動預測來源音訊語言，並據此轉錄。當所需成品是實際說出的措辭，而非解讀或摘要時，請使用此模式。指出結果應保留原始語言，或在其後另行要求翻譯。\n\n音訊理解允許直接對錄音提問，不必先串接獨立語音辨識模型與文字模型。請求可以詢問討論了什麼主題、陳述了什麼決策，或錄音中的哪些資訊回答特定問題。結果可為精簡回應或有條理的摘要，而非每個口述字詞的完整逐字稿。\n\n製作會議摘要時，請提供錄音並定義回傳欄位：主題、明確陳述的決策及後續行動。只有錄音實際提及時才要求姓名或日期，並將未解細節與決策分開。對訪談，請要求回答特定問題，並提供讓回答可理解的周邊上下文。這些輸出設計將音訊任務連結到之後可供使用的文件。\n\n上下文、時長與語言\n\n原廠記載 32k 個 token 上下文，以及轉錄最長 30 分鐘或理解最長 40 分鐘的音訊。兩個時長數字具有不同任務範圍。請先選擇期望操作再選錄音，並在規劃可用上下文時納入文字指令與對話。長錄音與長篇書面回答都會消耗資源；時長說明不是獨立的無限回答長度承諾。\n\n發布內容將英語、西班牙語、法語、葡萄牙語、印地語、德語、荷蘭語及義大利語列為主要支援語言，並提供自動語言偵測。進行語音翻譯時，請設定目標語言，以及應保留原始形式的術語。對以某種語言錄製的音訊提問時，請區分錄音語言與回答應使用的書面語言。\n\n多段錄音與後續問題\n\n模型卡支援單則訊息中的多個音訊輸入，以及多個使用者回合中的音訊。比較錄音時，請為各錄音提供識別碼並說明角色。實際請求可以比較兩個口述說明版本、詢問哪些條件改變，並回傳每段錄音各有一欄的表格。識別碼有助於讓模型發現對應正確來源。\n\n後續追問可以保留先前問題與回答，同時詢問更細的資訊或提供另一段錄音。例如，先要求列出討論中的決策，再詢問哪項決策與特定需求相關。同一版本也展示純文字與純音訊請求。文字骨幹可處理書面問題或結果，音訊能力則提供語音證據。\n\n語音驅動函式\n\n原廠描述依口述意圖進行函式呼叫，並將發布模型卡中的函式呼叫範例標為實驗性支援。在此工作流程中，應用程式定義函式及引數，模型依請求準備呼叫，應用程式再執行並提供結果。因此，語音查詢可以利用連接工具的資訊回傳書面回答。函式呼叫不表示模型自動擁有外部服務，或僅因說出動作名稱就會執行。\n\n請明確保留函式用途與必要資訊。如果錄音要求操作卻省略必要值，應用程式仍需要該值才能執行函式。請區分口述請求、建議引數與回傳結果，讓下一次回應能引用實際操作結果。\n\n建議設定與實用界線\n\n對音訊理解與聊天補全，模型卡建議 temperature 0.2、top-p 0.95；對轉錄則建議 temperature 0.0。它明確指出，這個發布的使用流程不支援系統提示詞，因此請將任務與回應需求放在使用者輸入中，不要從其他 Mistral 模型移植系統提示詞慣例。\n\n請選擇包含問題相關材料的錄音，保持語音清楚，並指定結果應為逐字稿、翻譯、回答或摘要。文件記載的輸出是文字。語音回應需要文字轉語音元件，而說話者識別、詳細說話者分離或字詞層級時間戳記，不應從此確切版本的一般音訊理解描述推定。\n\n模型卡的 500 個 token 生成範例是範例設定，並非另行陳述的最大輸出容量。準備可重複工作流程時，請保留 2507 版本、依任務而定的時長指引及輸入語言。實用的最終成品是所要求的文字，連結到錄音，並採用下一份文件或應用步驟所需格式。",
    "alias_of": null,
    "aliases": [],
    "author": "Mistral",
    "capabilities": {
      "context_length": 0,
      "manufacturer_input": [
        "audio"
      ],
      "manufacturer_output": [
        "transcription"
      ]
    },
    "card_routes": [
      {
        "label": "Ultra",
        "rates": [
          {
            "amount": "0.0001",
            "amount_unit": "usd_per_exact_native_unit",
            "billing_input": false,
            "estimate_only": true,
            "key": "forecast_usd",
            "label": "Estimated generation cost",
            "native_amount_usd_per_unit": "0.0001",
            "native_quantity": 1,
            "public_unit_label": "estimate before generation",
            "quantity": 1,
            "quantity_is_estimate": true,
            "rate_role": "typed_native_retail_rate",
            "side": "out",
            "unit": "request_estimate"
          }
        ],
        "summary": "完整的設定價格資訊請見詳細資料。"
      }
    ],
    "ctx": null,
    "formats": [
      "transcriptions"
    ],
    "id": "mistralai/voxtral-small-24b-2507-stt",
    "input": [
      "audio"
    ],
    "kind": "audio",
    "max_out": null,
    "methods": [
      {
        "available": null,
        "billing_basis": {
          "basis": "original_invoice_usd",
          "description": "顯示的費率用於在生成前估算費用。最終費用依原始生成作業記錄的成本計算。實測的輸出時間長度與預估數量並非最終計費數量。",
          "forecast_quantity_is_estimate": true,
          "physical_output_is_billable_quantity": false,
          "version": "original_invoice_usd_v1"
        },
        "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.",
            "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": "保留回傳的 X-Client-Request-ID，以供核對。僅讀取實際回傳的 task_id/asset_id 值或自己擁有的媒體庫；請勿以作業 ID 組成任務 URL，也請勿重新提交建立請求。"
            },
            "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",
                  "type": null
                },
                {
                  "description": null,
                  "name": "usage",
                  "type": null
                },
                {
                  "description": null,
                  "name": "segments[]",
                  "type": null
                },
                {
                  "description": null,
                  "name": "words[]",
                  "type": null
                },
                {
                  "description": null,
                  "name": "speaker fields",
                  "type": null
                },
                {
                  "description": null,
                  "name": "timestamps",
                  "type": null
                }
              ]
            },
            "parameters": [
              {
                "enum": [
                  "mistralai/voxtral-small-24b-2507-stt"
                ],
                "enum_known": true,
                "name": "model",
                "required": true,
                "type": "string"
              },
              {
                "name": "input_audio",
                "required": true,
                "type": "object"
              },
              {
                "name": "language",
                "required": false,
                "type": "string"
              },
              {
                "maximum": 1,
                "minimum": 0,
                "name": "temperature",
                "required": false,
                "type": "number"
              },
              {
                "default": "json",
                "default_known": true,
                "enum": [
                  "json",
                  "verbose_json"
                ],
                "enum_known": true,
                "name": "response_format",
                "required": false,
                "type": "string"
              },
              {
                "items": {
                  "enum": [
                    "segment",
                    "word"
                  ],
                  "type": "string"
                },
                "name": "timestamp_granularities",
                "required": false,
                "type": "array"
              },
              {
                "name": "provider",
                "required": false,
                "type": "object"
              }
            ],
            "request_schema": {
              "properties": {
                "input_audio": {
                  "properties": {
                    "data": {
                      "contentEncoding": "base64",
                      "type": "string"
                    },
                    "format": {
                      "enum": [
                        "wav",
                        "mp3",
                        "flac",
                        "m4a",
                        "ogg",
                        "webm",
                        "aac"
                      ],
                      "type": "string"
                    }
                  },
                  "required": [
                    "data",
                    "format"
                  ],
                  "type": "object"
                },
                "language": {
                  "description": "ISO-639-1 code; omitted means auto-detection",
                  "type": "string"
                },
                "model": {
                  "enum": [
                    "mistralai/voxtral-small-24b-2507-stt"
                  ],
                  "type": "string"
                },
                "provider": {
                  "description": "Data policy and exact provider options; order/only/ignore are not applied to STT",
                  "properties": {
                    "data_collection": {
                      "enum": [
                        "allow",
                        "deny",
                        null
                      ],
                      "type": [
                        "string",
                        "null"
                      ]
                    },
                    "options": {
                      "type": "object"
                    },
                    "zdr": {
                      "type": [
                        "boolean",
                        "null"
                      ]
                    }
                  },
                  "type": "object"
                },
                "response_format": {
                  "default": "json",
                  "description": "verbose_json requires exact model/provider support",
                  "enum": [
                    "json",
                    "verbose_json"
                  ],
                  "type": "string"
                },
                "temperature": {
                  "maximum": 1,
                  "minimum": 0,
                  "type": "number"
                },
                "timestamp_granularities": {
                  "description": "Only used with supported verbose_json",
                  "items": {
                    "enum": [
                      "segment",
                      "word"
                    ],
                    "type": "string"
                  },
                  "type": "array"
                }
              },
              "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-small-24b-2507-stt"
              },
              "content_type": "application/json"
            }
          },
          "input": {
            "content_type": "application/json",
            "material_conditions": [
              "請讀取實際的 WAV 檔案，並將其真實位元組編碼，用於所宣告的 JSON input_audio；此確切的純 JSON 宣告並未提供 multipart 路由。"
            ],
            "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 URL; never construct token"
              }
            ],
            "mode": "synchronous_result_then_owned_library",
            "operation_id_is_not_task_id": true,
            "status": [
              {
                "http": "GET",
                "id_source": "實際回傳的 task_id 或媒體庫紀錄",
                "path": "/v1/media/tasks/{task_id}"
              }
            ],
            "unknown": "Keep the returned X-Client-Request-ID for reconciliation. Read only actual returned task_id/asset_id values or the owned media library; never build a task URL from the operation ID and never resubmit 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",
                "type": null
              },
              {
                "description": null,
                "name": "usage",
                "type": null
              },
              {
                "description": null,
                "name": "segments[]",
                "type": null
              },
              {
                "description": null,
                "name": "words[]",
                "type": null
              },
              {
                "description": null,
                "name": "speaker fields",
                "type": null
              },
              {
                "description": null,
                "name": "timestamps",
                "type": null
              }
            ]
          }
        },
        "ctx": null,
        "declared_pricing_profiles": [
          {
            "dimensions": {
              "regime": "base"
            },
            "label": "Base token rates",
            "units": [
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "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": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "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": true,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "output_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "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": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "cached_input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "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": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "generic_cache_creation_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "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": true,
                "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": false,
                "estimate_only": true,
                "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": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "audio_input_second"
              }
            ]
          },
          {
            "basis": "此估算並非額外費用，也不是本次生成完成後的固定費率。",
            "dimensions": {
              "forecast_quantity": "one generation estimate"
            },
            "label": "預估生成費用",
            "units": [
              {
                "amount": "0.0001",
                "amount_unit": "usd_per_exact_native_unit",
                "billing_input": false,
                "estimate_only": true,
                "key": "forecast_usd",
                "label": "Estimated generation cost",
                "native_amount_usd_per_unit": "0.0001",
                "native_quantity": 1,
                "public_unit_label": "estimate before generation",
                "quantity": 1,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "request_estimate"
              }
            ]
          }
        ],
        "examples": [
          {
            "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\n: \"${AILOOT_AUDIO_FILE:?Set the path to your actual WAV recording}\"\npython3 - <<'PY_REQUEST'\nimport json,os\nfrom pathlib import Path\nimport base64\naudio=Path(os.environ['AILOOT_AUDIO_FILE']).read_bytes()\nif not (audio[:4]==b'RIFF' and audio[8:12]==b'WAVE'): raise SystemExit('Supply an actual WAV audio file')\nif len(audio)>26214400: raise SystemExit('Use a documented supported large-file flow')\nrequest={'model': 'mistralai/voxtral-small-24b-2507-stt', 'input_audio': {'data': '${BASE64_ACTUAL_WAV_BYTES}', 'format': 'wav'}}\nrequest['input_audio']['data']=base64.b64encode(audio).decode('ascii')\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 $AILOOT_API_KEY\" -H 'Content-Type: application/json' \\\n  --data-binary @request.json -D response-headers.txt -o response.bin\n# Keep the complete original response and headers. Read every returned segment, word and usage field.\n# Preserve actual operation/task/asset IDs; continue reads of the original result without resubmitting.\n",
            "label": "curl · exact native body and complete result",
            "language": "bash"
          },
          {
            "code": "set -eu\n: \"${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 owned-assets.json\n# Preserve every returned asset and follow its exact signed content URL. Do not construct a signed token.\n",
            "label": "Read existing owned assets",
            "language": "bash"
          }
        ],
        "family": "openai",
        "fast_multiplier": null,
        "flex_multiplier": null,
        "fmt": "transcriptions",
        "hints": [
          "Use the exact caller model ID and documented input representation.",
          "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": "original_invoice_usd",
          "image_input_price": null,
          "image_output_price": null
        },
        "pricing_profiles": [
          {
            "dimensions": {
              "regime": "base"
            },
            "label": "Base token rates",
            "units": [
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "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": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "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": true,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "output_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "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": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "cached_input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "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": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "generic_cache_creation_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "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": true,
                "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": false,
                "estimate_only": true,
                "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": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "audio_input_second"
              }
            ]
          },
          {
            "basis": "This estimate is not an additional charge or a fixed rate for the completed generation.",
            "dimensions": {
              "forecast_quantity": "one generation estimate"
            },
            "label": "Estimated generation cost",
            "units": [
              {
                "amount": "0.0001",
                "amount_unit": "usd_per_exact_native_unit",
                "billing_input": false,
                "estimate_only": true,
                "key": "forecast_usd",
                "label": "Estimated generation cost",
                "native_amount_usd_per_unit": "0.0001",
                "native_quantity": 1,
                "public_unit_label": "estimate before generation",
                "quantity": 1,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "request_estimate"
              }
            ]
          }
        ],
        "request_model_id": "mistralai/voxtral-small-24b-2507-stt",
        "route_label": "Ultra",
        "status_reads": [
          "GET /v1/media/tasks/{task_id}"
        ],
        "tiers": [],
        "units": [
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": false,
            "estimate_only": true,
            "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": true,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "input_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": false,
            "estimate_only": true,
            "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": true,
            "rate_role": "typed_native_retail_rate",
            "side": "out",
            "unit": "output_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": false,
            "estimate_only": true,
            "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": true,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "cached_input_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": false,
            "estimate_only": true,
            "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": true,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "generic_cache_creation_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": false,
            "estimate_only": true,
            "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": true,
            "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": false,
            "estimate_only": true,
            "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": true,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "audio_input_second"
          },
          {
            "amount": "0.0001",
            "amount_unit": "usd_per_exact_native_unit",
            "billing_input": false,
            "estimate_only": true,
            "key": "forecast_usd",
            "label": "Estimated generation cost",
            "native_amount_usd_per_unit": "0.0001",
            "native_quantity": 1,
            "public_unit_label": "estimate before generation",
            "quantity": 1,
            "quantity_is_estimate": true,
            "rate_role": "typed_native_retail_rate",
            "side": "out",
            "unit": "request_estimate"
          }
        ]
      }
    ],
    "model_aliases": [
      {
        "canonical_model_id": "mistralai/voxtral-small-24b-2507-stt",
        "request_model_id": "mistralai/voxtral-small-24b-2507-stt",
        "route_label": "Ultra"
      }
    ],
    "name": "Mistral: Voxtral Small 24B 2507 STT",
    "price": {
      "estimate_only": true,
      "in": null,
      "in_label": null,
      "out": 0.0001,
      "out_label": "estimate before generation",
      "scope_label": "Estimated generation cost",
      "sort_in": null,
      "sort_out": 0.0001,
      "varies": false
    },
    "short": "Voxtral Small 1.0 24B 2507 是用於轉錄、語音翻譯、問答及摘要的文字與音訊模型。原廠記載 32k 上下文、轉錄最長 30 分鐘或理解最長 40 分鐘、支援多個音訊輸入，並產生文字結果。"
  },
  "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 Small 1.0 24B 2507 是用於轉錄、語音翻譯、問答及摘要的文字與音訊模型。原廠記載 32k 上下文、轉錄最長 30 分鐘或理解最長 40 分鐘、支援多個音訊輸入，並產生文字結果。",
  "source": {
    "audit_sha256": "2e00086bcbfc28e64d0cebe97aa47c17d8d5618963027f8ffb9dc6123d7d25b1",
    "bridge_map_sha256": "1125275768b9636fc8461bc7da5061239a81ddfe508e2557843ca42c58ab0036",
    "raw_model_json_sha256": "14e908f4261a8002423e41a9b02575d19fa77e2e39acea2ea2b268cd7136288d",
    "renderer_sha256": "13a3fc1b22d07359278e2249d630bfc9bb9e6416c71ba53def933fb5a903660b"
  },
  "sourceRevision": "56d5cadf230abace1927e90e836d77644742a2fe65827ed02b817064872102e9"
}