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Model Tested

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

Connector by modeltested.comOfficial · Domain verified by the MCP Registry

IndexedLicense unknownRemote (HTTP)
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Install

Works with Claude Code, VS Code, Cursor, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install connector/modeltested-com-llm-benchmarks

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

Remote endpoint

  • https://modeltested.com/mcp Remote (HTTP)

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About

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

Reviews

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No reviews yet. Installed it? Reviews come from verified installers only. How reviews work

Permissions

What this server can do and what it asks for, from its tool list and install config. Checked Oct 25, 2026.

Tools
5 read · 0 write · 0 deleteRead-only
Secrets
None asked for
Install scripts
Nothing to install (hosted)
Runs as
Hosted (remote endpoint)

Tools by what they do 5

From the running server's own tool list (tools/list) on Oct 25, 2026.

Read 5 · Look things up without changing anything.

  • compare_models
  • decision_models
  • find_models
  • get_model
  • search_articles

Network hosts it talks to 1

  • modeltested.com · found in remote endpoint, install command

Tools (5)

As the server listed them on Oct 25, 2026. Descriptions are the server’s own words; hidden characters are shown as [U+…].

  • compare_modelsCompare models side by sideread-only

    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_modelsDecision model rankingsread-only

    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.

  • find_modelsFind the best models for a task or computerread-only

    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 16 GB GPU', 'best coding model on a 32 GB Mac', 'best small model under 10B'.

  • get_modelGet one model's resultsread-only

    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 'gpt-oss-20b'.

  • search_articlesSearch Model Tested articlesread-only

    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.

Signals

Stars
0
Forks
0
Open issues
1
Last commit (this folder)
Oct 18, 2026 (11 days ago)
Last release
Oct 18, 2026 (11 days ago)

From GitHub (fetched Oct 24, 2026).

Details

Registry name
com.modeltested/llm-benchmarks
Version
1.0.0
Auth
Auth not stated
License
License unknown
Repository
github.com/jelly-ham/modeltested
Website
modeltested.com/mcp/
First seen
Oct 24, 2026
Last checked
Oct 24, 2026
Source
Official MCP Registrygithub-graphql
Cite this page

Model Tested MCP server. Agent Mart. https://agentmart.dev/connectors/modeltested-com-llm-benchmarks (last updated 2026-10-24)