Model Tested
by FastDrop
Independent test scores for open-weight LLMs: best model for your GPU or Mac, comparisons.
Independent test scores for open-weight LLMs: best model for your GPU or Mac, comparisons. Official MCP Registry: com.modeltested/llm-benchmarks@1.0.0. Remote endpoint: https://modeltested.com/mcp
Problem it solves
Discoverable MCP server listed in the official MCP Registry.
How it's different
Remote MCP endpoint ingested from the official registry and probed by FastDrop.
Ingested from the official MCP Registry
FastDrop pulled this entry from the official MCP Registry as com.modeltested/llm-benchmarks and probed the endpoint. The maker did not submit it, so the outbound link is not endorsed
and the description is not theirs.
If this is your server, claim the listing to edit it and take ownership. The registry index lists everything else still awaiting a probe.
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Read directly from the endpoint on 18 Oct 2026. Not supplied by the maker.
find_modelsUse 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
get_modelUse 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.
compare_modelsUse 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_modelsUse 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, fl
search_articlesFind 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.
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