Mode VC Chart: Chinese AI Models vs. US Models: How Close Is China?

qwen3.8-max trails claude-fable-5.1-max by 27 points. Over the past year the gap has stayed.

我該用這個嗎

品質與安全性

A
說明品質
100%
結構描述完整度
93%
命名品質
100%
汙染風險
100%
權限相符程度
100%
協定合規性
100%

根據工具定義與協定合規性的自動化分析。

上下文成本

~486Token(工具定義)
~657 B典型回應大小
極小的注意力影響(128k 上下文的 0.38%)

這是每次將伺服器的工具載入模型上下文時所消耗的約略 token 數量。數量越高,可用於其他工作的注意力就越少。

安裝

一鍵安裝

將以下內容加入你的 `claude_desktop_config.json` 檔案:

{
  "mcpServers": {
    "chart-chinese-ai-models-vs-us-models": {
      "url": "https://modevc.com/api/mcp/chart-chinese-ai-models-vs-us-models"
    }
  }
}

遠端端點

https://modevc.com/api/mcp/chart-chinese-ai-models-vs-us-modelsstreamable-http

它能做什麼

工具清單

工具(3)

🟢 唯讀🟡 寫入🔴 刪除⚪ 未知
🟢get_venture_chart_of_the_day(limit)

Returns the most recent charts from Mode VC's Chart of the Day archive (one new chart per day, mostly AI model, adoption, developer-package and pricing data), newest first, each with its claim, takeaway, URL and cited sources.

輸入結構描述

{
  "type": "object",
  "properties": {
    "limit": {
      "type": "integer",
      "minimum": 1,
      "maximum": 10,
      "description": "Number of recent charts. Default 3."
    }
  },
  "additionalProperties": false
}
🟢search_charts(query, limit)

Searches every chart in the Mode VC Chart of the Day archive by keyword over title, claim, takeaway and keywords. Returns claims, takeaways, canonical URLs, markdown endpoints and cited sources. The archive grows by one chart a day; the response states its current size.

輸入結構描述

{
  "type": "object",
  "properties": {
    "query": {
      "type": "string",
      "description": "Search term, e.g. \"pricing\", \"claude\", \"inference\", \"sdk\""
    },
    "limit": {
      "type": "integer",
      "minimum": 1,
      "maximum": 100,
      "description": "Maximum charts to return. Default 10."
    }
  },
  "additionalProperties": false
}
🟢get_chart_data(slug)

Returns one chart from the Chart of the Day archive: the data table behind it (rows as published), claim, takeaway, note and the sources it cites. Look up by slug or title. Data is as published on the chart page; follow source_urls for the original data.

輸入結構描述

{
  "type": "object",
  "properties": {
    "slug": {
      "type": "string",
      "description": "Chart slug or title, e.g. \"pre-seed-valuation-dispersion\", \"ai-inference-cost-comparison\""
    }
  },
  "required": [
    "slug"
  ],
  "additionalProperties": false
}

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