agents benchmark
WildClawBench is an agentic coding benchmark from InternLM/Claw-Eval that reports overall model performance on real-world tool-using development tasks.
Updated Aug 11, 2026
Higher score ranks better on this benchmark.
| 01 | BY | 62.8% | 100.0% | 5 | C | |
| 02 | BY | 61.7% | 75.0% | 5 | C | |
| 03 | TE | 53.6% | 50.0% | 5 | C | |
| 04 | ME | 47.6% | 25.0% | 5 | C | |
| 05 | XI | 43.0% | 0.0% | 5 | C |
A closer view of the leading scores on this benchmark.
The leading models and scores on this benchmark.
What WildClawBench measures and how its scores work.
WildClawBench is an agentic coding benchmark from InternLM/Claw-Eval that reports overall model performance on real-world tool-using development tasks.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
Common questions about WildClawBench.
Seed 2.1 Turbo is currently ranked first with 62.8%.
WildClawBench is an agentic coding benchmark from InternLM/Claw-Eval that reports overall model performance on real-world tool-using development tasks.
Yes. Higher values rank better for this benchmark.
5 model results are currently shown.
Yes. This benchmark can contribute to the current LLMBoard capability score.