DynamicMCPBench: leaderboard

DynamicMCPBench (ITMO University, 2026) scores LLM agents on realistic tasks over live Model Context Protocol servers by whether they reproduce the effects of a recorded successful trajectory, never the final answer text, under deterministic replay. Pass^3 in percent, a task counts only if all three attempts succeed; higher is better.

Metric: Pass^3 (%; share of the 750 balanced tasks from 15 tool-use categories over 121 MCP servers solved in all three independent attempts; effect checkpoints scored deterministically under replay, no LLM judge; tools needed plus eight distractors offered). Source: arxiv.org. Saturation forecast: Around June 2027. 24 models tracked.

Top models

#ModelScoreOverall rank
1Qwen 3.7 Max51.2#145
2GLM-5.150.3#179
3Qwen 3.6 35B A3B48.5#462
4DeepSeek V4 Pro46.4#188
5Gemma 4 31B42.5#394
6MiniMax-M342.4#269
7Claude Haiku 4.541.1#568
8Kimi K2.640.7#178
9Grok 4.331.6#333
10Qwen 3.5 4B27.3#1175
11GPT-5.4 Mini25.7#389
12Qwen 3 8B22.1#1830
13Gemma 4 E4B22.1#2214
14Qwen 2.5 7B21.1#2703
15Gemma 4 E2B20.1#3892

No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.

Interactive version: theaggregate.ai/benchmark?slug=dynamicmcpbench · How It Works · Data refreshed daily, snapshot 2026-11-13.