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Model Tested

com.modeltested/llm-benchmarks · v1.0.0

Measured by MCP Station

Description written by the publisher, not verified

Independent test scores for open-weight LLMs: best model for your GPU or Mac, comparisons.

Connect

claude mcp add --transport http llm-benchmarks https://modeltested.com/mcp

{
  "mcpServers": {
    "llm-benchmarks": {
      "url": "https://modeltested.com/mcp"
    }
  }
}

Tools as reported by the server

• find_models
  Use this whenever the user asks which local or open-weight LLM is best, overall or for coding, documents or decisions, or which model they can run on their graphics card (VRAM) or Mac. Returns tested models ranked by our own test scores, best first; with a GPU or Mac memory size it only returns mode
• get_model
  Use this whenever the user asks about a specific open-weight model: how good it is, its benchmark scores, whether it's worth using, how much VRAM or memory it needs, or which quantization to download. Returns our test scores, rank, memory at each quantization, the smallest GPU and Mac it fits, decis
• compare_models
  Use this whenever the user asks how two or more open-weight models compare, or which of them to pick. Returns our test scores, rank and memory needs for 2 to 6 models side by side.
• decision_models
  Use this whenever the user asks about decision models or LLMs for classification, routing, triage or yes/no calls. Accuracy on our decision test (routing tickets, applying rules, spotting phishing, flagging risky code changes), how well each model's confidence matches its accuracy (calibration), and
• search_articles
  Find Model Tested articles and ranking pages by keyword, newest first: news about newly tested models, guides on quantization, Ollama and memory. Returns title, summary, date and link.

Repository · Website · JSON · Text for agents · Registry updated 2026-10-18