{ "aboutHtml": "

採用擴散技術的文字模型

Mercury 3 是 Inception 採用擴散方法生成文字的模型。它延續 Mercury 家族，開發商將這個家族用於互動應用，以及需要連續多次呼叫模型的工作。Inception 對 Mercury 3 的描述著重對話支援、教學、資料工作與搜尋代理情境。

擴散架構是模型的特性，並不決定特定應用程式的回應時間；最終時間也取決於請求大小、結果長度與服務條件。在 Ailoot，Mercury 3 接受文字並傳回文字。此介面適合說明、文件處理，以及根據提供資訊準備下一個工作步驟。

以大型上下文串連工作

Ailoot 的 Mercury 3 標示上下文為 1,000,000 個 token，可在同一次討論中放入大型文字資料集，例如產品說明、規則、往來訊息及輸出要求。當答案必須同時考量任務的多個部分時，大型上下文便有實際價值，例如比對客服指引與合約條款，再針對特定詢問準備回覆。

這類請求適合清楚標示文件並保留名稱，要求每項結論註明所依據的資料。若任務有數個步驟，請指定中間結果：先列相關規則，再分析個案，最後準備回覆草稿。這能讓結果更易檢查，也能只針對一個階段追問，而不必重新描述整個任務。

互動使用情境

在教學對話中，可用 Mercury 3 分析解題過程、提供提示，或依指定程度解釋概念。處理資料時，可提供欄位說明、文字形式的樣本與問題，以取得規律說明或轉換計畫。客服情境則可附上規則，要求根據使用者情況撰寫清楚回覆。

這些情境將文字模型作為工作流程的一部分。自主上網搜尋、操作瀏覽器、存取公司系統及語音對話，都取決於應用程式所連接的工具。Mercury Voice 與 Mercury Decide 是 Inception 的獨立產品，其專用能力不屬於 Mercury 3 的說明範圍。

", "aboutText": "### 採用擴散技術的文字模型\n\nMercury 3 是 Inception 採用擴散方法生成文字的模型。它延續 Mercury 家族，開發商將這個家族用於互動應用，以及需要連續多次呼叫模型的工作。Inception 對 Mercury 3 的描述著重對話支援、教學、資料工作與搜尋代理情境。\n\n擴散架構是模型的特性，並不決定特定應用程式的回應時間；最終時間也取決於請求大小、結果長度與服務條件。在 Ailoot，Mercury 3 接受文字並傳回文字。此介面適合說明、文件處理，以及根據提供資訊準備下一個工作步驟。\n\n### 以大型上下文串連工作\n\nAiloot 的 Mercury 3 標示上下文為 1,000,000 個 token，可在同一次討論中放入大型文字資料集，例如產品說明、規則、往來訊息及輸出要求。當答案必須同時考量任務的多個部分時，大型上下文便有實際價值，例如比對客服指引與合約條款，再針對特定詢問準備回覆。\n\n這類請求適合清楚標示文件並保留名稱，要求每項結論註明所依據的資料。若任務有數個步驟，請指定中間結果：先列相關規則，再分析個案，最後準備回覆草稿。這能讓結果更易檢查，也能只針對一個階段追問，而不必重新描述整個任務。\n\n### 互動使用情境\n\n在教學對話中，可用 Mercury 3 分析解題過程、提供提示，或依指定程度解釋概念。處理資料時，可提供欄位說明、文字形式的樣本與問題，以取得規律說明或轉換計畫。客服情境則可附上規則，要求根據使用者情況撰寫清楚回覆。\n\n這些情境將文字模型作為工作流程的一部分。自主上網搜尋、操作瀏覽器、存取公司系統及語音對話，都取決於應用程式所連接的工具。Mercury Voice 與 Mercury Decide 是 Inception 的獨立產品，其專用能力不屬於 Mercury 3 的說明範圍。", "locale": "zh-hant-tw", "methods": [ { "html": "
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$0.0002 / 1K
輸出
US$0.0007 / 1K
讀取快取
US$0.00002 / 1K
", "method_identity": { "effective_request_model_id": "inception/mercury-3", "fmt": "messages", "http": "POST", "path": "/v1/messages", "request_model_id": "inception/mercury-3", "route_label": "Ultra" }, "method_key": "Ultra|messages|/v1/messages|inception%2Fmercury-3", "ordinal": 0, "rawMethod": { "cache_read": 0.02, "cache_write": null, "cache_write_1h": null, "cache_write_5m": null, "conditional_meter": null, "ctx": null, "family": "anthropic", "fast_multiplier": 1, "flex_multiplier": 1, "fmt": "messages", "http": "POST", "img_in": null, "img_out": null, "in": 0.2, "input": [ "text" ], "label": "Anthropic Messages", "max_out": null, "max_tool_calls": null, "out": 0.7, "output": [ "text" ], "path": "/v1/messages", "request_model_id": "inception/mercury-3", "route_label": "Ultra", "status_reads": [], "tiers": [], "tool_prices": null, "unit": "token", "units": [] } }, { "html": "
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$0.0002 / 1K
輸出
US$0.0007 / 1K
讀取快取
US$0.00002 / 1K
", "method_identity": { "effective_request_model_id": "inception/mercury-3", "fmt": "responses", "http": "POST", "path": "/v1/responses", "request_model_id": "inception/mercury-3", "route_label": "Ultra" }, "method_key": "Ultra|responses|/v1/responses|inception%2Fmercury-3", "ordinal": 1, "rawMethod": { "cache_read": 0.02, "cache_write": null, "cache_write_1h": null, "cache_write_5m": null, "conditional_meter": null, "ctx": null, "family": "openai", "fast_multiplier": 1, "flex_multiplier": 1, "fmt": "responses", "http": "POST", "img_in": null, "img_out": null, "in": 0.2, "input": [ "text" ], "label": "OpenAI Responses", "max_out": null, "max_tool_calls": null, "out": 0.7, "output": [ "text" ], "path": "/v1/responses", "request_model_id": "inception/mercury-3", "route_label": "Ultra", "status_reads": [], "tiers": [], "tool_prices": null, "unit": "token", "units": [] } }, { "html": "
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$0.0002 / 1K
輸出
US$0.0007 / 1K
讀取快取
US$0.00002 / 1K
", "method_identity": { "effective_request_model_id": "inception/mercury-3", "fmt": "chat", "http": "POST", "path": "/v1/chat/completions", "request_model_id": "inception/mercury-3", "route_label": "Ultra" }, "method_key": "Ultra|chat|/v1/chat/completions|inception%2Fmercury-3", "ordinal": 2, "rawMethod": { "cache_read": 0.02, "cache_write": null, "cache_write_1h": null, "cache_write_5m": null, "conditional_meter": null, "ctx": null, "family": "openai", "fast_multiplier": 1, "flex_multiplier": 1, "fmt": "chat", "http": "POST", "img_in": null, "img_out": null, "in": 0.2, "input": [ "text" ], "label": "OpenAI Chat", "max_out": null, "max_tool_calls": null, "out": 0.7, "output": [ "text" ], "path": "/v1/chat/completions", "request_model_id": "inception/mercury-3", "route_label": "Ultra", "status_reads": [], "tiers": [], "tool_prices": null, "unit": "token", "units": [] } }, { "html": "
Ultra Gemini generateContentPOST /v1beta/models/inception/mercury-3: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$0.0002 / 1K
輸出
US$0.0007 / 1K
讀取快取
US$0.00002 / 1K
", "method_identity": { "effective_request_model_id": "inception/mercury-3", "fmt": "gemini", "http": "POST", "path": "/v1beta/models/inception/mercury-3:generateContent", "request_model_id": "inception/mercury-3", "route_label": "Ultra" }, "method_key": "Ultra|gemini|/v1beta/models/inception/mercury-3:generateContent|inception%2Fmercury-3", "ordinal": 3, "rawMethod": { "cache_read": 0.02, "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": 0.2, "input": [ "text" ], "label": "Gemini generateContent", "max_out": null, "max_tool_calls": null, "out": 0.7, "output": [ "text" ], "path": "/v1beta/models/inception/mercury-3:generateContent", "request_model_id": "inception/mercury-3", "route_label": "Ultra", "status_reads": [], "tiers": [], "tool_prices": null, "unit": "token", "units": [] } } ], "model_id": "inception/mercury-3", "page": { "canonical": "https://ailoot.ai/models/zh-hant-tw/inception-mercury-3/", "description": "Inception 的擴散式文字模型，用於對話、大型文件處理與連續多步驟的知識工作。", "locale": "zh-hant-tw", "md_url": "https://ailoot.ai/models/zh-hant-tw/inception-mercury-3/index.md", "title": "Inception: Mercury 3", "url": "https://ailoot.ai/models/zh-hant-tw/inception-mercury-3/" }, "rawModel": { "about": "### 採用擴散技術的文字模型\n\nMercury 3 是 Inception 採用擴散方法生成文字的模型。它延續 Mercury 家族，開發商將這個家族用於互動應用，以及需要連續多次呼叫模型的工作。Inception 對 Mercury 3 的描述著重對話支援、教學、資料工作與搜尋代理情境。\n\n擴散架構是模型的特性，並不決定特定應用程式的回應時間；最終時間也取決於請求大小、結果長度與服務條件。在 Ailoot，Mercury 3 接受文字並傳回文字。此介面適合說明、文件處理，以及根據提供資訊準備下一個工作步驟。\n\n### 以大型上下文串連工作\n\nAiloot 的 Mercury 3 標示上下文為 1,000,000 個 token，可在同一次討論中放入大型文字資料集，例如產品說明、規則、往來訊息及輸出要求。當答案必須同時考量任務的多個部分時，大型上下文便有實際價值，例如比對客服指引與合約條款，再針對特定詢問準備回覆。\n\n這類請求適合清楚標示文件並保留名稱，要求每項結論註明所依據的資料。若任務有數個步驟，請指定中間結果：先列相關規則，再分析個案，最後準備回覆草稿。這能讓結果更易檢查，也能只針對一個階段追問，而不必重新描述整個任務。\n\n### 互動使用情境\n\n在教學對話中，可用 Mercury 3 分析解題過程、提供提示，或依指定程度解釋概念。處理資料時，可提供欄位說明、文字形式的樣本與問題，以取得規律說明或轉換計畫。客服情境則可附上規則，要求根據使用者情況撰寫清楚回覆。\n\n這些情境將文字模型作為工作流程的一部分。自主上網搜尋、操作瀏覽器、存取公司系統及語音對話，都取決於應用程式所連接的工具。Mercury Voice 與 Mercury Decide 是 Inception 的獨立產品，其專用能力不屬於 Mercury 3 的說明範圍。", "alias_of": null, "aliases": [], "author": "Inception", "canonical_model": "inception/mercury-3", "ctx": null, "formats": [ "chat", "gemini", "messages", "responses" ], "id": "inception/mercury-3", "input": [ "text" ], "kind": "text", "max_out": null, "methods": [ { "cache_read": 0.02, "cache_write": null, "cache_write_1h": null, "cache_write_5m": null, "conditional_meter": null, "ctx": null, "family": "anthropic", "fast_multiplier": 1, "flex_multiplier": 1, "fmt": "messages", "http": "POST", "img_in": null, "img_out": null, "in": 0.2, "input": [ "text" ], "label": "Anthropic Messages", "max_out": null, "max_tool_calls": null, "out": 0.7, "output": [ "text" ], "path": "/v1/messages", "request_model_id": "inception/mercury-3", "route_label": "Ultra", "status_reads": [], "tiers": [], "tool_prices": null, "unit": "token", "units": [] }, { "cache_read": 0.02, "cache_write": null, "cache_write_1h": null, "cache_write_5m": null, "conditional_meter": null, "ctx": null, "family": "openai", "fast_multiplier": 1, "flex_multiplier": 1, "fmt": "responses", "http": "POST", "img_in": null, "img_out": null, "in": 0.2, "input": [ "text" ], "label": "OpenAI Responses", "max_out": null, "max_tool_calls": null, "out": 0.7, "output": [ "text" ], "path": "/v1/responses", "request_model_id": "inception/mercury-3", "route_label": "Ultra", "status_reads": [], "tiers": [], "tool_prices": null, "unit": "token", "units": [] }, { "cache_read": 0.02, "cache_write": null, "cache_write_1h": null, "cache_write_5m": null, "conditional_meter": null, "ctx": null, "family": "openai", "fast_multiplier": 1, "flex_multiplier": 1, "fmt": "chat", "http": "POST", "img_in": null, "img_out": null, "in": 0.2, "input": [ "text" ], "label": "OpenAI Chat", "max_out": null, "max_tool_calls": null, "out": 0.7, "output": [ "text" ], "path": "/v1/chat/completions", "request_model_id": "inception/mercury-3", "route_label": "Ultra", "status_reads": [], "tiers": [], "tool_prices": null, "unit": "token", "units": [] }, { "cache_read": 0.02, "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": 0.2, "input": [ "text" ], "label": "Gemini generateContent", "max_out": null, "max_tool_calls": null, "out": 0.7, "output": [ "text" ], "path": "/v1beta/models/inception/mercury-3:generateContent", "request_model_id": "inception/mercury-3", "route_label": "Ultra", "status_reads": [], "tiers": [], "tool_prices": null, "unit": "token", "units": [] } ], "model_aliases": [ { "canonical_model_id": "inception/mercury-3", "request_model_id": "inception/mercury-3", "route_label": "Ultra" } ], "name": "Inception: Mercury 3", "price": { "in": 0.2, "in_label": null, "out": 0.7, "out_label": null, "sort_in": 0.2, "sort_out": 0.7, "varies": false }, "public_id": "inception/mercury-3", "short": "Inception 的擴散式文字模型，用於對話、大型文件處理與連續多步驟的知識工作。" }, "renderer_schema": { "method_order": "rawModel.methods-ordinal", "prices": "exact-native-DTO-units-and-selected-renderer-html" }, "representation": "exact-public-dto-and-native-renderer-html", "schema": "ailoot-static-model-facts-v1", "schema_version": 1, "shortText": "Inception 的擴散式文字模型，用於對話、大型文件處理與連續多步驟的知識工作。", "source": { "audit_sha256": "d33458aa1ea9a7d6495cfafb44efd1af7de41ee3984763c8a1a4d58d52f617ca", "bridge_map_sha256": "d33458aa1ea9a7d6495cfafb44efd1af7de41ee3984763c8a1a4d58d52f617ca", "projection_audit": { "parent_manifest_sha256": "dfd3a7a4bc6f960e128026cae1f98f769d1503ffa1c6cf0ccf80066382dbbb9e", "raw_model_json_sha256": "d7206b4c1f2eae23e6302748dbe5c343bca8e4974a0fa51344c0ee0db7776724", "renderer_sha256": "ff9782d9ac535c4c4d8dcf64caf6d1647fda3a5c20c28fe9033f27d2c7d287f5" }, "projection_kind": "catalogue-refresh-native-dto-v1", "raw_model_json_sha256": "d7206b4c1f2eae23e6302748dbe5c343bca8e4974a0fa51344c0ee0db7776724", "renderer_sha256": "ff9782d9ac535c4c4d8dcf64caf6d1647fda3a5c20c28fe9033f27d2c7d287f5" }, "sourceRevision": "65a38c7af3d1249eff30cbc7e6c2dfae467c17ae7028a3e8d90c7d79efea287e" }