Mode VC Chart: LLM Rankings by Category: The Hidden Specialists
claude-opus-4-5-20251101-high-32k is #49 overall but #14 in coding. gpt-5.6-terra-xhigh is #52.
Should I use this
Quality & Safety
Based on automated analysis of tool definitions and protocol compliance.
Context Cost
This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.
Install
One-Click Install
Add this to your `claude_desktop_config.json` file:
{
"mcpServers": {
"chart-llm-rankings-by-category-specialists": {
"url": "https://modevc.com/api/mcp/chart-llm-rankings-by-category-specialists"
}
}
}Remote endpoints
https://modevc.com/api/mcp/chart-llm-rankings-by-category-specialistsstreamable-httpWhat it can do
Tool inventory
Tools (3)
🟢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.
Input Schema
{
"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.
Input Schema
{
"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.
Input Schema
{
"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
}Community
Evidence