Categories › AI & Agents › Models, LLM APIs, routing, serving, training & GPUs
Independent test scores for open-weight LLMs: best model for your GPU or Mac, comparisons.
Remote server: your requests and data go to modeltested.com. Claude Code: claude mcp add --transport http model-tested https://modeltested.com/mcp · Claude app: Settings → Connectors → Add custom connector.
The tools this server listed when we connected to it, in its own words.
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 cget_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 muchcompare_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 memodecision_models — Use this whenever the user asks about decision models or LLMs for classification, routing, triage or yes/no calls. Accuracy on our decision search_articles — Find Model Tested articles and ranking pages by keyword, newest first: news about newly tested models, guides on quantization, Ollama and meNot tested by KitScout yet. When our harness runs it, pros, cons and the tasks we tried appear here, with the date and evidence.