Claw-Eval
Claw-Eval tests real-world agentic task completion across complex multi-step scenarios, evaluating a model's ability to use tools, navigate environments, and complete end-to-end tasks autonomously.
Kimi K2.6 from Moonshot AI currently leads the Claw-Eval leaderboard with a score of 0.809 across 11 evaluated AI models.
What Claw-Eval measures
Claw-Eval is a text benchmark that evaluates large language models on agents and coding tasks. LLM Stats tracks 11 models on this benchmark, with a maximum possible score of 1. Current average across reported models is 0.6, with the leader reaching 0.8.
Compare leaders on the best AI for agents and best AI for coding leaderboards.
Kimi K2.6 leads with 80.9%, followed by 
GLM-5V-Turbo at 75.0% and 
MiniMax M3 at 74.5%.
Progress Over Time
Interactive timeline showing model performance evolution on Claw-Eval
Claw-Eval Leaderboard
| Context | Cost | License | ||||
|---|---|---|---|---|---|---|
| 1 | Moonshot AI | 1.0T | 262K | $0.95 / $4.00 | ||
| 2 | Zhipu AI | — | — | — | ||
| 3 |  MiniMax | — | 1.0M | $0.60 / $2.40 | ||
| 4 |  Alibaba Cloud / Qwen Team | — | 1.0M | $1.25 / $3.75 | ||
| 5 |  Xiaomi | 1.0T | 1.0M | $0.43 / $0.87 | ||
| 6 | Xiaomi | 311B | 1.0M | $0.17 / $0.34 | ||
| 7 | Xiaomi | 1.0T | — | — | ||
| 8 | Alibaba Cloud / Qwen Team | 28B | 262K | $0.60 / $3.60 | ||
| 9 | Alibaba Cloud / Qwen Team | — | 1.0M | $0.50 / $3.00 | ||
| 10 | Xiaomi | — | — | — | ||
| 11 | Alibaba Cloud / Qwen Team | 35B | — | — |
FAQ
Common questions about Claw-Eval.
Sub-benchmarks
More evaluations to explore
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