模型

MoonshotAI: Kimi K3.1 Pro

Markdown · JSON

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

Core Anthropic MessagesPOST /v1/messages
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
Core OpenAI ResponsesPOST /v1/responses
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
Core OpenAI ChatPOST /v1/chat/completions
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
Core Gemini generateContentPOST /v1beta/models/{model}:generateContent
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
Ultra OpenAI ChatPOST /v1/chat/completions
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
Ultra OpenAI ResponsesPOST /v1/responses
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
Ultra Gemini generateContentPOST /v1beta/models/kimi-k3.1-pro:generateContent
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
Ultra Anthropic MessagesPOST /v1/messages
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
Ultra OpenAI ResponsesPOST /v1/responses
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
Ultra OpenAI ChatPOST /v1/chat/completions
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
Ultra Gemini generateContentPOST /v1beta/models/moonshotai/kimi-k3.1-pro:generateContent
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
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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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Chat","max_out":null,"max_tool_calls":null,"out":20.0,"output":["text"],"path":"/v1/chat/completions","request_model_id":"kimi-k3.1-pro","route_label":"Ultra","status_reads":[],"tiers":[],"tool_prices":null,"unit":"token","units":[]},{"cache_read":0.4,"cache_write":4.0,"cache_write_1h":null,"cache_write_5m":4.0,"conditional_meter":null,"ctx":null,"family":"openai","fast_multiplier":1,"flex_multiplier":1,"fmt":"responses","http":"POST","img_in":null,"img_out":null,"in":4.0,"input":["text"],"label":"OpenAI Responses","max_out":null,"max_tool_calls":null,"out":20.0,"output":["text"],"path":"/v1/responses","request_model_id":"kimi-k3.1-pro","route_label":"Ultra","status_reads":[],"tiers":[],"tool_prices":null,"unit":"token","units":[]},{"cache_read":0.4,"cache_write":4.0,"cache_write_1h":null,"cache_write_5m":4.0,"conditional_meter":null,"ctx":null,"family":"gemini","fast_multiplier":1,"flex_multiplier":1,"fmt":"gemini","http":"POST","img_in":null,"img_out":null,"in":4.0,"input":["text"],"label":"Gemini 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Chat","max_out":null,"max_tool_calls":null,"out":20.0,"output":["text"],"path":"/v1/chat/completions","request_model_id":"moonshotai/kimi-k3.1-pro","route_label":"Ultra","status_reads":[],"tiers":[],"tool_prices":null,"unit":"token","units":[]},{"cache_read":0.4,"cache_write":null,"cache_write_1h":null,"cache_write_5m":null,"conditional_meter":null,"ctx":null,"family":"gemini","fast_multiplier":1,"flex_multiplier":1,"fmt":"gemini","http":"POST","img_in":null,"img_out":null,"in":4.0,"input":["text"],"label":"Gemini generateContent","max_out":null,"max_tool_calls":null,"out":20.0,"output":["text"],"path":"/v1beta/models/moonshotai/kimi-k3.1-pro:generateContent","request_model_id":"moonshotai/kimi-k3.1-pro","route_label":"Ultra","status_reads":[],"tiers":[],"tool_prices":null,"unit":"token","units":[]}],"model_aliases":[{"canonical_model_id":"moonshotai/kimi-k3.1-pro","request_model_id":"k3.1-pro","route_label":"Core"},{"canonical_model_id":"moonshotai/kimi-k3.1-pro","request_model_id":"kimi-k3.1-pro","route_label":"Ultra"},{"canonical_model_id":"moonshotai/kimi-k3.1-pro","request_model_id":"moonshotai/kimi-k3.1-pro","route_label":"Ultra"}],"name":"MoonshotAI: Kimi K3.1 Pro","price":{"in":2.0,"in_label":null,"out":10.0,"out_label":null,"sort_in":2.0,"sort_out":10.0,"varies":true},"public_id":"moonshotai/kimi-k3.1-pro","short":"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。"}

常見問題

如何為任務選擇模型?

先確定需要的輸入與輸出:文字、圖片、音訊或影片,再比較相容的 API 方法、確切的模型 ID 或別名目前指向的模型、價格與計費單位。免費的 GET /v1/models 會列出金鑰可存取的模型。

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。