Model Tested
Independent test scores for open-weight LLMs: best model for your GPU or Mac, comparisons.
| Endpoint | https://modeltested.com/mcp (streamable-http) |
|---|---|
| Registry version | 1.0.0 |
| Now | 5 tools · grade A (100) · pin ts_22d94f63ca30f06c0431bfaec1fb9032 · protocol 2025-06-18 |
| First / last listed | 2026-10-25 05:12 UTC / 2026-10-25 05:12 UTC |
| Grade over time | 2026-10-25: A (100), 5 tools |
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Tools: find_models get_model compare_models decision_models search_articles
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 models that fit, plus the quantization to download and the memory it needs. Examples: 'best model for a params: sort_by, hardware, memory_gb, max_params_b, limit |
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, decision accuracy and our Q4 run on a Mac when there is one. Accepts a name or slug, e.g. 'qwen3.5 9b' or params: model* |
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. params: models* |
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 API cost per 1,000 calls. Covers dedicated decision models and regular LLMs given the same tasks. params: type, limit |
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. params: query, limit |
Entries describe changes in tool definitions. They are not statements about a server, its quality or its author. The grade measures how the tool definitions fit model providers (token cost, schema compatibility, confusable names) as scored by the ToolFit engine at the time of the listing. JSON: append .json. Opt-out: how or hello@youraitools.co.