Source: https://ailoot.ai/models/zh-hant-tw/moonshotai-kimi-k3-1-pro/ Canonical: https://ailoot.ai/models/zh-hant-tw/moonshotai-kimi-k3-1-pro/ Language: zh-hant-tw # MoonshotAI: Kimi K3.1 Pro [Markdown](https://ailoot.ai/models/zh-hant-tw/moonshotai-kimi-k3-1-pro/index.md) · [JSON](https://ailoot.ai/models/zh-hant-tw/moonshotai-kimi-k3-1-pro/facts.json) ## [MoonshotAI: Kimi K3.1 Pro](https://ailoot.ai/models/zh-hant-tw/moonshotai-kimi-k3-1-pro/) `moonshotai/kimi-k3.1-pro` MoonshotAI文字輸入 from US$0.002 / 1K輸出 from US$0.01 / 1K Kimi K3.1 Pro 協助分析複雜資料、撰寫程式碼，並為專案、建模及分析工作準備文字方案。 Kimi K3.1 Pro 是 Moonshot AI 的模型，也是 K3.1 系列的首個版本。它以 Kimi K3 為基礎，大幅增加後訓練與跨領域聯合強化學習。官方說明著重程式設計、三維專案、財務研究，以及需要多個相關階段的任務。 ### 程式設計與技術專案 模型可用於分析現有程式碼、準備修改及規劃開發。請提供目標、目前實作與限制，例如哪些介面必須保留，以及正確結果應如何呈現。可要求傳回解釋、修補文字、測試情境或導入步驟。 對遊戲、互動場景與參數化建模而言，準備腳本及技術邏輯是合適任務。開發商文件討論了 Blender、CAD 與遊戲引擎的使用。在 Ailoot，本模型卡的結果為文字，因此可將要求寫成指定工具的程式碼、幾何描述或場景建構計畫，再於自己的環境執行。 ### 分析提供的資料 處理文件時，可要求比對來源、解釋計算、檢查假設是否一致，或撰寫研究備忘錄。若為財務模型，請提供初始指標、單位及相互依存關係。模型可提出公式文字與驗證順序；報告則可要求與提供資料相關的結構及論證。 ### 如何取得有用答案 1. 指明任務與預期結果：說明、程式碼、計畫或分析結論。 2. 附上必要文字，並標示來源的優先順序。 3. 描述驗證標準：必須保留的條件、格式、計算精確度及必要章節。 4. 透過追問持續工作，同時保留重要決定與原始限制。 ### Ailoot 的輸入與結果 本模型卡接受文字並傳回文字。適合的資料包括指示、文件摘錄、原始碼、文字形式的表格及討論歷史。K3.1 Pro 的推理始終啟用，模型文件列有 low、high 與 max 等級。Standard 的輸入上限為 262,144 個 token，答案上限為 65,536 個 token。準備大型請求時，請計入對話歷史，並依具體問題選擇資料量。 ### 可透過 Ailoot API 使用 輸入 `text` 輸出 `text` 上下文 262,144 *token* 最大回應 65,536 *token* 輸入 US$0.002 */ 1K* 輸出 US$0.01 */ 1K* 讀取快取 US$0.0002 */ 1K* 寫入快取 US$0.002 */ 1K* 寫入快取，5 分鐘 US$0.002 */ 1K token* 輸入 `text` 輸出 `text` 上下文 262,144 *token* 最大回應 65,536 *token* 輸入 US$0.002 */ 1K* 輸出 US$0.01 */ 1K* 讀取快取 US$0.0002 */ 1K* 寫入快取 US$0.002 */ 1K* 寫入快取，5 分鐘 US$0.002 */ 1K token* 輸入 `text` 輸出 `text` 上下文 262,144 *token* 最大回應 65,536 *token* 輸入 US$0.002 */ 1K* 輸出 US$0.01 */ 1K* 讀取快取 US$0.0002 */ 1K* 寫入快取 US$0.002 */ 1K* 寫入快取，5 分鐘 US$0.002 */ 1K token* 輸入 `text` 輸出 `text` 上下文 262,144 *token* 最大回應 65,536 *token* 輸入 US$0.002 */ 1K* 輸出 US$0.01 */ 1K* 讀取快取 US$0.0002 */ 1K* 寫入快取 US$0.002 */ 1K* 寫入快取，5 分鐘 US$0.002 */ 1K token* 輸入 `text` 輸出 `text` 上下文 型錄未列明 最大回應 型錄未列明 輸入 US$0.004 */ 1K* 輸出 US$0.02 */ 1K* 讀取快取 US$0.0004 */ 1K* 寫入快取 US$0.004 */ 1K* 寫入快取，5 分鐘 US$0.004 */ 1K token* 輸入 `text` 輸出 `text` 上下文 型錄未列明 最大回應 型錄未列明 輸入 US$0.004 */ 1K* 輸出 US$0.02 */ 1K* 讀取快取 US$0.0004 */ 1K* 寫入快取 US$0.004 */ 1K* 寫入快取，5 分鐘 US$0.004 */ 1K token* 輸入 `text` 輸出 `text` 上下文 型錄未列明 最大回應 型錄未列明 輸入 US$0.004 */ 1K* 輸出 US$0.02 */ 1K* 讀取快取 US$0.0004 */ 1K* 寫入快取 US$0.004 */ 1K* 寫入快取，5 分鐘 US$0.004 */ 1K token* 輸入 `text` 輸出 `text` 上下文 型錄未列明 最大回應 型錄未列明 輸入 US$0.004 */ 1K* 輸出 US$0.02 */ 1K* 讀取快取 US$0.0004 */ 1K* 輸入 `text` 輸出 `text` 上下文 型錄未列明 最大回應 型錄未列明 輸入 US$0.004 */ 1K* 輸出 US$0.02 */ 1K* 讀取快取 US$0.0004 */ 1K* 輸入 `text` 輸出 `text` 上下文 型錄未列明 最大回應 型錄未列明 輸入 US$0.004 */ 1K* 輸出 US$0.02 */ 1K* 讀取快取 US$0.0004 */ 1K* 輸入 `text` 輸出 `text` 上下文 型錄未列明 最大回應 型錄未列明 輸入 US$0.004 */ 1K* 輸出 US$0.02 */ 1K* 讀取快取 US$0.0004 */ 1K* `moonshotai/kimi-k3.1-pro` · JSON ``` {"about":"Kimi K3.1 Pro 是 Moonshot AI 的模型，也是 K3.1 系列的首個版本。它以 Kimi K3 為基礎，大幅增加後訓練與跨領域聯合強化學習。官方說明著重程式設計、三維專案、財務研究，以及需要多個相關階段的任務。\n\n### 程式設計與技術專案\n\n模型可用於分析現有程式碼、準備修改及規劃開發。請提供目標、目前實作與限制，例如哪些介面必須保留，以及正確結果應如何呈現。可要求傳回解釋、修補文字、測試情境或導入步驟。\n\n對遊戲、互動場景與參數化建模而言，準備腳本及技術邏輯是合適任務。開發商文件討論了 Blender、CAD 與遊戲引擎的使用。在 Ailoot，本模型卡的結果為文字，因此可將要求寫成指定工具的程式碼、幾何描述或場景建構計畫，再於自己的環境執行。\n\n### 分析提供的資料\n\n處理文件時，可要求比對來源、解釋計算、檢查假設是否一致，或撰寫研究備忘錄。若為財務模型，請提供初始指標、單位及相互依存關係。模型可提出公式文字與驗證順序；報告則可要求與提供資料相關的結構及論證。\n\n### 如何取得有用答案\n\n1. 指明任務與預期結果：說明、程式碼、計畫或分析結論。\n2. 附上必要文字，並標示來源的優先順序。\n3. 描述驗證標準：必須保留的條件、格式、計算精確度及必要章節。\n4. 透過追問持續工作，同時保留重要決定與原始限制。\n\n### Ailoot 的輸入與結果\n\n本模型卡接受文字並傳回文字。適合的資料包括指示、文件摘錄、原始碼、文字形式的表格及討論歷史。K3.1 Pro 的推理始終啟用，模型文件列有 low、high 與 max 等級。Standard 的輸入上限為 262,144 個 token，答案上限為 65,536 個 token。準備大型請求時，請計入對話歷史，並依具體問題選擇資料量。","alias_of":null,"aliases":["k3.1-pro","kimi-k3.1-pro"],"author":"MoonshotAI","canonical_model":"moonshotai/kimi-k3.1-pro","ctx":262144,"formats":["chat","gemini","messages","responses"],"id":"moonshotai/kimi-k3.1-pro","input":["text"],"kind":"text","max_out":65536,"methods":[{"cache_read":0.2,"cache_write":2.0,"cache_write_1h":null,"cache_write_5m":2.0,"conditional_meter":null,"ctx":262144,"family":"anthropic","fast_multiplier":null,"flex_multiplier":null,"fmt":"messages","http":"POST","img_in":null,"img_out":null,"in":2.0,"input":["text"],"label":"Anthropic 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每個模型都支援所有 API 方法與媒體類型嗎？ 請使用模型卡片列出的 API 方法與輸入、輸出類型。文字、圖片、音訊或影片的支援情況取決於所選模型及方法；傳送資料前請查看對應的請求範例。 模型 ID 與別名有何不同？ 確切的 ID 代表特定模型。別名會指向某個模型，而指向的模型可能變更。請在目錄中查看別名目前指向的模型；整合需要特定模型時，請使用確切的 ID。 傳送請求前如何比較價格？ 在模型卡片中查看所選 API 方法的價格與計費單位。請以相同單位及輸入、輸出類型比較；請求紀錄會顯示實際用量與扣款金額。 訂閱提供什麼？ 持續工作可優惠購買 token。按請求量選方案，訂閱條件與費用在申購時顯示。 如何使用最高 50% 折扣碼？ 購買 token 時輸入折扣碼，總額依活動條件重算，付款前即可看到優惠。 ## Ailoot · 公司及其專案組合 Ailoot以累積的營運經驗、廣大的客戶群、穩定的服務及持續的KPI管理為基礎。 公司及其專案組合：數百萬客戶，每月銷售額達數十億。 Ailoot將這些營運經驗用於API存取，讓客戶的產品、代理、應用程式及自動化流程使用AI功能。