MM-ClawBench
Progress Over Time
Interactive timeline showing model performance evolution on MM-ClawBench
State-of-the-art frontier
Open
Proprietary
MM-ClawBench Leaderboard
1 models
| Context | Cost | License | ||||
|---|---|---|---|---|---|---|
| 1 |  MiniMax | — | 205K | $0.30 / $1.20 |
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What is MM-ClawBench?
MM-ClawBench evaluates models on MiniMax's Claw-style agent benchmark, measuring practical agentic task completion quality in real-world OpenClaw usage scenarios.
MM-ClawBench is a text benchmark evaluating models on agents and coding tasks. LLM Stats tracks 1 models on this benchmark, scored on a 0–1 scale. The current average is 0.6, with the leader at 0.6.
Compare leaders on the best AI for agents and best AI for coding leaderboards.
Current leaders
MiniMax M2.7 from MiniMax currently leads the MM-ClawBench leaderboard with a score of 0.627 across 1 evaluated AI models.
FAQ
Common questions about the MM-ClawBench benchmark and leaderboard.