MCP-Atlas
Benchmark for evaluating model performance on Model Context Protocol tool use tasks High benchmark score alone doesn't make a model the right pick — weigh it against pricing, API availability, and release date.
Models ranked
19
tracked on this benchmark
Score band
84.2 – 29.5
best → lowest tracked
Snapshot trend
+13.60
Jun 18 → Jul 16 · 1 models
Leaderboard
Tracked models ranked by Score (higher is better).
Notes: Model variant: Kimi K3 (max reasoning effort). Benchmark variant: MCP-Atlas 500-task public subset with a 100-turn limit. Harness/evaluator: Gemini 3.1 Pro judge; remaining harness/evaluator details not disclosed by Moonshot. Source posture: Moonshot/Kimi self-reported launch table; confidence: medium because the value is vendor-reported and not independently reproduced. Recommended seed value: 84.2.
Notes: Low-confidence secondary-source row; useful as supporting Anthropic MCP-native evidence.
Notes: DAT-6271: Moonshot-run MCP tool-use benchmark. Compare with other MCP Atlas rows cautiously when source harnesses differ.
Notes: Low-confidence secondary-source row; useful as supporting tool-use evidence.
How to read this benchmark
This benchmark scores models where higher is better. Scores are useful for directional filtering and shortlisting — not for universal quality ranking. Prefer benchmarks closest to your workload, then validate the linked model pages for pricing, context window, and provider availability.
Trust this score when
- There is a fresh timestamped snapshot (or multiple snapshots) for this benchmark.
- The model list covers the same version family you can actually deploy today.
- Top candidates overlap with your required routing and feature requirements.
Be cautious when
- There is only one benchmark snapshot or the dataset appears stale.
- The benchmark metric direction is opposite of your decision objective.
- The score difference between options is narrow and likely within implementation variance.
FAQ
What does the MCP-Atlas benchmark measure?
Benchmark for evaluating model performance on Model Context Protocol tool use tasks On this page it lists 19 tracked model variants where higher is better.
Is a higher MCP-Atlas score always better?
For this benchmark, higher is better. A high score helps you shortlist, but confirm pricing, context window, and provider availability on each model page before committing — the top scorer is not always the right pick for your workload or budget.
How current is this MCP-Atlas data?
This benchmark was last reviewed on May 20, 2026. The tracked score average moved +13.60 points across the last 3 snapshots.
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Last reviewed: May 20, 2026