Commit 59532563 authored by fisherdaddy's avatar fisherdaddy

feat: Add Grok-3 and Claude 3.7 Sonnet to model rankings and pricing

parent c8d259d7
...@@ -82,5 +82,11 @@ ...@@ -82,5 +82,11 @@
"title": "Model Context Protocol 发布", "title": "Model Context Protocol 发布",
"feature": "MCP 是一个开放标准,允许开发者建立安全的双向连接,将数据源与 AI 工具相连。", "feature": "MCP 是一个开放标准,允许开发者建立安全的双向连接,将数据源与 AI 工具相连。",
"description": "开发者可以通过 MCP 服务器暴露数据,或创建 MCP 客户端以连接这些服务器。MCP 的目标是用单一协议取代当前复杂的多数据源集成方式,简化架构并提高系统的可扩展性。" "description": "开发者可以通过 MCP 服务器暴露数据,或创建 MCP 客户端以连接这些服务器。MCP 的目标是用单一协议取代当前复杂的多数据源集成方式,简化架构并提高系统的可扩展性。"
},
{
"date": "2025年2月25日",
"title": "Cloud 3.7 sonnet 和 Claude Code 发布",
"feature": "Claude 3.7 Sonnet 既是普通 LLM 又是推理模型。在标准模式下,它是 Claude 3.5 Sonnet 的升级版;在扩展思考模式下,它会在回答前进行自我反思,从而提高其在数学、物理、指令跟随、编码和许多其他任务上的性能。",
"description": "与 Claude 3.7 Sonnet 模型一同发布的还有 Claude Code ,这是一个用于 agentic coding 的命令行工具,目前以有限的研究预览版形式提供。 Claude Code 旨在让开发者能够直接从终端将大量的工程任务委托给 Claude 完成。"
} }
] ]
\ No newline at end of file
...@@ -146,6 +146,12 @@ ...@@ -146,6 +146,12 @@
"inputPrice": 87.5, "inputPrice": 87.5,
"outputPrice": 35 "outputPrice": 35
}, },
{
"name": "claude 3.7\nSonnet",
"logo": "/assets/icon/anthropic_small.svg",
"inputPrice": 26.3,
"outputPrice": 105
},
{ {
"name": "claude 3.5\nSonnet", "name": "claude 3.5\nSonnet",
"logo": "/assets/icon/anthropic_small.svg", "logo": "/assets/icon/anthropic_small.svg",
......
...@@ -2,6 +2,16 @@ ...@@ -2,6 +2,16 @@
"title": "国内外各模型能力对比 - 代码", "title": "国内外各模型能力对比 - 代码",
"subtitle": "数据来源:lmarena.ai", "subtitle": "数据来源:lmarena.ai",
"providers": [ "providers": [
{
"name": "chocolate (Early Grok-3)",
"score": 1403,
"logo": "/assets/icon/grok.svg"
},
{
"name": "o3-mini-high",
"score": 1373,
"logo": "/assets/icon/openai_small.svg"
},
{ {
"name": "Gemini-2.0-Pro-Exp-02-05", "name": "Gemini-2.0-Pro-Exp-02-05",
"score": 1374, "score": 1374,
......
...@@ -17,6 +17,11 @@ ...@@ -17,6 +17,11 @@
"score": 1351, "score": 1351,
"logo": "/assets/icon/deepseek_small.jpg" "logo": "/assets/icon/deepseek_small.jpg"
}, },
{
"name": "chocolate (Early Grok-3)",
"score": 1350,
"logo": "/assets/icon/grok.svg"
},
{ {
"name": "Gemini-2.0-Flash-Thinking-Exp-01-21", "name": "Gemini-2.0-Flash-Thinking-Exp-01-21",
"score": 1348, "score": 1348,
......
...@@ -7,6 +7,11 @@ ...@@ -7,6 +7,11 @@
"score": 1422, "score": 1422,
"logo": "/assets/icon/openai_small.svg" "logo": "/assets/icon/openai_small.svg"
}, },
{
"name": "chocolate (Early Grok-3)",
"score": 1416,
"logo": "/assets/icon/grok.svg"
},
{ {
"name": "Gemini-2.0-Flash-Thinking-Exp-01-21", "name": "Gemini-2.0-Flash-Thinking-Exp-01-21",
"score": 1403, "score": 1403,
......
...@@ -2,6 +2,11 @@ ...@@ -2,6 +2,11 @@
"title": "国内外各模型能力对比", "title": "国内外各模型能力对比",
"subtitle": "数据来源:lmarena.ai", "subtitle": "数据来源:lmarena.ai",
"providers": [ "providers": [
{
"name": "chocolate (Early Grok-3)",
"score": 1403,
"logo": "/assets/icon/grok.svg"
},
{ {
"name": "Gemini-2.0-Flash-Thinking-Exp-01-21", "name": "Gemini-2.0-Flash-Thinking-Exp-01-21",
"score": 1384, "score": 1384,
......
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