模型

OpenAI: GPT-6.1 Terra

Markdown · JSON

OpenAI: GPT-6.1 Terra

openai/gpt-6.1-terra
OpenAI文字輸入 from US$0.001 / 1K輸出 from US$0.005 / 1K

GPT-6.1 Terra 用於撰寫與編輯清楚文字、分析文件,以及在大型上下文中整理資料。

模型用途

GPT-6.1 Terra 是 OpenAI 的推理模型,著重清楚、自然的文字。開發商也將它用於發展視覺分析及介面操作能力。在 Ailoot API,本模型卡供文字請求使用:提供原始資料後,可取得說明、改寫文字或依指定結構呈現的答案。

文字、文件與工作資料

Terra 可用於編輯流程:依重點準備草稿、調整語氣、縮短篇幅,或將零散筆記整理為連貫文件。為取得合適結果,請指定讀者與文字目的,列出必要資訊,並註明必須保留的措辭。需要數個版本時,可要求只改變特定參數,例如詳細程度或對不同讀者的呈現方式。

處理文件時,適合將原文與問題一併提供。可要求逐節摘要、比對兩個版本,或將資訊擷取至事先定義的欄位清單。比較資料時,請指定標準:什麼算相符、哪些差異重要,以及如何呈現結果。這能讓模型取得清楚任務,也便於將結果與原文核對。

Ailoot API 提供的格式

輸入為文字,輸出也為文字。本模型卡支援的介面包括 Messages、Responses、Chat Completions 及 Gemini 相容的 generateContent。選擇客戶端使用的格式,透過該格式傳入指示與原始資料。若任務涉及文件或影像,此文字情境需使用預先擷取的文字或文字描述。

工作流程範例

  1. 提供筆記、草稿或文件文字。
  2. 說明任務:編輯、解釋、比較或整理結構。
  3. 指定讀者、限制與答案結構。
  4. 依原始資料檢查結果,再針對需要不同詳細程度的部分追問。

此流程適合操作說明、內部參考資料、描述及分析筆記,尤其重視清楚表達與運用已提供資料的工作。

可透過 Ailoot API 使用

Core Anthropic MessagesPOST /v1/messages
輸入
text
輸出
text
上下文
272,000 token
最大回應
128,000 token
輸入
US$0.001 / 1K
輸出
US$0.005 / 1K
讀取快取
US$0.00005 / 1K
寫入快取
US$0.00125 / 1K
寫入快取,5 分鐘
US$0.00125 / 1K token
fast 倍率
×2
flex 倍率
×0.5
Core OpenAI ResponsesPOST /v1/responses
輸入
text
輸出
text
上下文
272,000 token
最大回應
128,000 token
輸入
US$0.001 / 1K
輸出
US$0.005 / 1K
讀取快取
US$0.00005 / 1K
寫入快取
US$0.00125 / 1K
寫入快取,5 分鐘
US$0.00125 / 1K token
fast 倍率
×2
flex 倍率
×0.5
Core OpenAI ChatPOST /v1/chat/completions
輸入
text
輸出
text
上下文
272,000 token
最大回應
128,000 token
輸入
US$0.001 / 1K
輸出
US$0.005 / 1K
讀取快取
US$0.00005 / 1K
寫入快取
US$0.00125 / 1K
寫入快取,5 分鐘
US$0.00125 / 1K token
fast 倍率
×2
flex 倍率
×0.5
Core Gemini generateContentPOST /v1beta/models/{model}:generateContent
輸入
text
輸出
text
上下文
272,000 token
最大回應
128,000 token
輸入
US$0.001 / 1K
輸出
US$0.005 / 1K
讀取快取
US$0.00005 / 1K
寫入快取
US$0.00125 / 1K
寫入快取,5 分鐘
US$0.00125 / 1K token
fast 倍率
×2
flex 倍率
×0.5
Ultra OpenAI ChatPOST /v1/chat/completions
輸入
text
輸出
text
上下文
922,000 token
最大回應
128,000 token
輸入
US$0.002 / 1K
輸出
US$0.01 / 1K
讀取快取
US$0.0001 / 1K
寫入快取
US$0.0025 / 1K
寫入快取,5 分鐘
US$0.0025 / 1K token
寫入快取,1 小時
US$0.0025 / 1K token

依請求長度計價 · OpenAI Chat

請求大小,tokens輸入輸出讀取快取寫入快取快取 5 分鐘快取 1 小時
請求大小,tokens(0; 272,000]輸入US$0.002輸出US$0.01讀取快取US$0.0001寫入快取US$0.0025快取 5 分鐘US$0.0025快取 1 小時US$0.0025
請求大小,tokens(272,000; ∞)輸入US$0.004輸出US$0.015讀取快取US$0.0002寫入快取US$0.005快取 5 分鐘US$0.005快取 1 小時US$0.005

費率單位為每 1K Token 的 USD 金額。 未設定費率時,會沿用此方法的基本費率;«—» 表示未設定基本費率。

Ultra OpenAI ResponsesPOST /v1/responses
輸入
text
輸出
text
上下文
922,000 token
最大回應
128,000 token
輸入
US$0.002 / 1K
輸出
US$0.01 / 1K
讀取快取
US$0.0001 / 1K
寫入快取
US$0.0025 / 1K
寫入快取,5 分鐘
US$0.0025 / 1K token
寫入快取,1 小時
US$0.0025 / 1K token

依請求長度計價 · OpenAI Responses

請求大小,tokens輸入輸出讀取快取寫入快取快取 5 分鐘快取 1 小時
請求大小,tokens(0; 272,000]輸入US$0.002輸出US$0.01讀取快取US$0.0001寫入快取US$0.0025快取 5 分鐘US$0.0025快取 1 小時US$0.0025
請求大小,tokens(272,000; ∞)輸入US$0.004輸出US$0.015讀取快取US$0.0002寫入快取US$0.005快取 5 分鐘US$0.005快取 1 小時US$0.005

費率單位為每 1K Token 的 USD 金額。 未設定費率時,會沿用此方法的基本費率;«—» 表示未設定基本費率。

Ultra Gemini generateContentPOST /v1beta/models/gpt-6.1-terra:generateContent
輸入
text
輸出
text
上下文
922,000 token
最大回應
128,000 token
輸入
US$0.002 / 1K
輸出
US$0.01 / 1K
讀取快取
US$0.0001 / 1K
寫入快取
US$0.0025 / 1K
寫入快取,5 分鐘
US$0.0025 / 1K token
寫入快取,1 小時
US$0.0025 / 1K token

依請求長度計價 · Gemini generateContent

請求大小,tokens輸入輸出讀取快取寫入快取快取 5 分鐘快取 1 小時
請求大小,tokens(0; 272,000]輸入US$0.002輸出US$0.01讀取快取US$0.0001寫入快取US$0.0025快取 5 分鐘US$0.0025快取 1 小時US$0.0025
請求大小,tokens(272,000; ∞)輸入US$0.004輸出US$0.015讀取快取US$0.0002寫入快取US$0.005快取 5 分鐘US$0.005快取 1 小時US$0.005

費率單位為每 1K Token 的 USD 金額。 未設定費率時,會沿用此方法的基本費率;«—» 表示未設定基本費率。

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$0.002 / 1K
輸出
US$0.01 / 1K
讀取快取
US$0.0001 / 1K
寫入快取
US$0.0025 / 1K
寫入快取,5 分鐘
US$0.0025 / 1K token
寫入快取,1 小時
US$0.0025 / 1K token
web_search_call
US$0.02 每次呼叫

依請求長度計價 · Anthropic Messages

請求大小,tokens輸入輸出讀取快取寫入快取快取 5 分鐘快取 1 小時
請求大小,tokens(0; 272,000]輸入US$0.002輸出US$0.01讀取快取US$0.0001寫入快取US$0.0025快取 5 分鐘US$0.0025快取 1 小時US$0.0025
請求大小,tokens(272,000; ∞)輸入US$0.004輸出US$0.015讀取快取US$0.0002寫入快取US$0.005快取 5 分鐘US$0.005快取 1 小時US$0.005

費率單位為每 1K Token 的 USD 金額。 未設定費率時,會沿用此方法的基本費率;«—» 表示未設定基本費率。

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$0.002 / 1K
輸出
US$0.01 / 1K
讀取快取
US$0.0001 / 1K
寫入快取
US$0.0025 / 1K
寫入快取,5 分鐘
US$0.0025 / 1K token
寫入快取,1 小時
US$0.0025 / 1K token
web_search_call
US$0.02 每次呼叫

依請求長度計價 · OpenAI Responses

請求大小,tokens輸入輸出讀取快取寫入快取快取 5 分鐘快取 1 小時
請求大小,tokens(0; 272,000]輸入US$0.002輸出US$0.01讀取快取US$0.0001寫入快取US$0.0025快取 5 分鐘US$0.0025快取 1 小時US$0.0025
請求大小,tokens(272,000; ∞)輸入US$0.004輸出US$0.015讀取快取US$0.0002寫入快取US$0.005快取 5 分鐘US$0.005快取 1 小時US$0.005

費率單位為每 1K Token 的 USD 金額。 未設定費率時,會沿用此方法的基本費率;«—» 表示未設定基本費率。

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$0.002 / 1K
輸出
US$0.01 / 1K
讀取快取
US$0.0001 / 1K
寫入快取
US$0.0025 / 1K
寫入快取,5 分鐘
US$0.0025 / 1K token
寫入快取,1 小時
US$0.0025 / 1K token
web_search_call
US$0.02 每次呼叫

依請求長度計價 · OpenAI Chat

請求大小,tokens輸入輸出讀取快取寫入快取快取 5 分鐘快取 1 小時
請求大小,tokens(0; 272,000]輸入US$0.002輸出US$0.01讀取快取US$0.0001寫入快取US$0.0025快取 5 分鐘US$0.0025快取 1 小時US$0.0025
請求大小,tokens(272,000; ∞)輸入US$0.004輸出US$0.015讀取快取US$0.0002寫入快取US$0.005快取 5 分鐘US$0.005快取 1 小時US$0.005

費率單位為每 1K Token 的 USD 金額。 未設定費率時,會沿用此方法的基本費率;«—» 表示未設定基本費率。

Ultra Gemini generateContentPOST /v1beta/models/openai/gpt-6.1-terra: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$0.002 / 1K
輸出
US$0.01 / 1K
讀取快取
US$0.0001 / 1K
寫入快取
US$0.0025 / 1K
寫入快取,5 分鐘
US$0.0025 / 1K token
寫入快取,1 小時
US$0.0025 / 1K token
web_search_call
US$0.02 每次呼叫

依請求長度計價 · Gemini generateContent

請求大小,tokens輸入輸出讀取快取寫入快取快取 5 分鐘快取 1 小時
請求大小,tokens(0; 272,000]輸入US$0.002輸出US$0.01讀取快取US$0.0001寫入快取US$0.0025快取 5 分鐘US$0.0025快取 1 小時US$0.0025
請求大小,tokens(272,000; ∞)輸入US$0.004輸出US$0.015讀取快取US$0.0002寫入快取US$0.005快取 5 分鐘US$0.005快取 1 小時US$0.005

費率單位為每 1K Token 的 USD 金額。 未設定費率時,會沿用此方法的基本費率;«—» 表示未設定基本費率。

openai/gpt-6.1-terra · JSON
{"about":"### 模型用途\nGPT-6.1 Terra 是 OpenAI 的推理模型,著重清楚、自然的文字。開發商也將它用於發展視覺分析及介面操作能力。在 Ailoot API,本模型卡供文字請求使用:提供原始資料後,可取得說明、改寫文字或依指定結構呈現的答案。\n\n### 文字、文件與工作資料\nTerra 可用於編輯流程:依重點準備草稿、調整語氣、縮短篇幅,或將零散筆記整理為連貫文件。為取得合適結果,請指定讀者與文字目的,列出必要資訊,並註明必須保留的措辭。需要數個版本時,可要求只改變特定參數,例如詳細程度或對不同讀者的呈現方式。\n\n處理文件時,適合將原文與問題一併提供。可要求逐節摘要、比對兩個版本,或將資訊擷取至事先定義的欄位清單。比較資料時,請指定標準:什麼算相符、哪些差異重要,以及如何呈現結果。這能讓模型取得清楚任務,也便於將結果與原文核對。\n\n### Ailoot API 提供的格式\n輸入為文字,輸出也為文字。本模型卡支援的介面包括 Messages、Responses、Chat Completions 及 Gemini 相容的 generateContent。選擇客戶端使用的格式,透過該格式傳入指示與原始資料。若任務涉及文件或影像,此文字情境需使用預先擷取的文字或文字描述。\n\n### 工作流程範例\n1. 提供筆記、草稿或文件文字。\n2. 說明任務:編輯、解釋、比較或整理結構。\n3. 指定讀者、限制與答案結構。\n4. 依原始資料檢查結果,再針對需要不同詳細程度的部分追問。\n\n此流程適合操作說明、內部參考資料、描述及分析筆記,尤其重視清楚表達與運用已提供資料的工作。","alias_of":null,"aliases":["gpt-6.1-terra"],"author":"OpenAI","canonical_model":"openai/gpt-6.1-terra","ctx":922000,"formats":["chat","gemini","messages","responses"],"id":"openai/gpt-6.1-terra","input":["text"],"kind":"text","max_out":128000,"methods":[{"cache_read":0.05,"cache_write":1.25,"cache_write_1h":null,"cache_write_5m":1.25,"conditional_meter":null,"ctx":272000,"family":"anthropic","fast_multiplier":2,"flex_multiplier":0.5,"fmt":"messages","http":"POST","img_in":null,"img_out":null,"in":1.0,"input":["text"],"label":"Anthropic Messages","max_out":128000,"max_tool_calls":null,"out":5.0,"output":["text"],"path":"/v1/messages","request_model_id":"gpt-6.1-terra","route_label":"Core","status_reads":[],"tiers":[],"tool_prices":null,"unit":"token","units":[]},{"cache_read":0.05,"cache_write":1.25,"cache_write_1h":null,"cache_write_5m":1.25,"conditional_meter":null,"ctx":272000,"family":"openai","fast_multiplier":2,"flex_multiplier":0.5,"fmt":"responses","http":"POST","img_in":null,"img_out":null,"in":1.0,"input":["text"],"label":"OpenAI Responses","max_out":128000,"max_tool_calls":null,"out":5.0,"output":["text"],"path":"/v1/responses","request_model_id":"gpt-6.1-terra","route_label":"Core","status_reads":[],"tiers":[],"tool_prices":null,"unit":"token","units":[]},{"cache_read":0.05,"cache_write":1.25,"cache_write_1h":null,"cache_write_5m":1.25,"conditional_meter":null,"ctx":272000,"family":"openai","fast_multiplier":2,"flex_multiplier":0.5,"fmt":"chat","http":"POST","img_in":null,"img_out":null,"in":1.0,"input":["text"],"label":"OpenAI Chat","max_out":128000,"max_tool_calls":null,"out":5.0,"output":["text"],"path":"/v1/chat/completions","request_model_id":"gpt-6.1-terra","route_label":"Core","status_reads":[],"tiers":[],"tool_prices":null,"unit":"token","units":[]},{"cache_read":0.05,"cache_write":1.25,"cache_write_1h":null,"cache_write_5m":1.25,"conditional_meter":null,"ctx":272000,"family":"gemini","fast_multiplier":2,"flex_multiplier":0.5,"fmt":"gemini","http":"POST","img_in":null,"img_out":null,"in":1.0,"input":["text"],"label":"Gemini generateContent","max_out":128000,"max_tool_calls":null,"out":5.0,"output":["text"],"path":"/v1beta/models/{model}:generateContent","request_model_id":"gpt-6.1-terra","route_label":"Core","status_reads":[],"tiers":[],"tool_prices":null,"unit":"token","units":[]},{"cache_read":0.1,"cache_write":2.5,"cache_write_1h":2.5,"cache_write_5m":2.5,"conditional_meter":null,"ctx":922000,"family":"openai","fast_multiplier":1,"flex_multiplier":1,"fmt":"chat","http":"POST","img_in":null,"img_out":null,"in":2.0,"input":["text"],"label":"OpenAI Chat","max_out":128000,"max_tool_calls":null,"out":10.0,"output":["text"],"path":"/v1/chat/completions","request_model_id":"gpt-6.1-terra","route_label":"Ultra","status_reads":[],"tiers":[{"cache_read":0.1,"cache_write":2.5,"cache_write_1h":2.5,"cache_write_5m":2.5,"in":2.0,"interval_boundary":"min_exclusive_max_inclusive","label":"<=272K","max":272000,"min":0,"null_rate_policy":"inherit_base_rate","out":10.0},{"cache_read":0.2,"cache_write":5.0,"cache_write_1h":5.0,"cache_write_5m":5.0,"in":4.0,"interval_boundary":"min_exclusive_max_inclusive","label":">272K","max":null,"min":272000,"null_rate_policy":"inherit_base_rate","out":15.0}],"tool_prices":null,"unit":"token","units":[]},{"cache_read":0.1,"cache_write":2.5,"cache_write_1h":2.5,"cache_write_5m":2.5,"conditional_meter":null,"ctx":922000,"family":"openai","fast_multiplier":1,"flex_multiplier":1,"fmt":"responses","http":"POST","img_in":null,"img_out":null,"in":2.0,"input":["text"],"label":"OpenAI 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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。