agents benchmark
ZClawBench
ZClawBench evaluates Claw-style agent task execution quality, measuring a model's ability to autonomously complete complex multi-step coding tasks in real-world environments.
Updated Aug 11, 2026
Models4
Model coverage4
MetricScore
EvidenceB
ZClawBench Ranking
Higher score ranks better on this benchmark.
| 01 | AC | 64.3% | 100.0% | 4 | C | |
| 02 | ZA | 57.6% | 66.7% | 4 | C | |
| 03 | AC | 53.4% | 33.3% | 4 | C | |
| 04 | AC | 52.6% | 0.0% | 4 | C |
ZClawBench Score Distribution
A closer view of the leading scores on this benchmark.
ZClawBench Highlights
The leading models and scores on this benchmark.
What is ZClawBench?
What ZClawBench measures and how its scores work.
ZClawBench evaluates Claw-style agent task execution quality, measuring a model's ability to autonomously complete complex multi-step coding tasks in real-world environments.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- ZClawBench
- Modality
- text
- Primary category
- agents
- Score direction
- higher
- LLMBoard eligible
- Yes
- Evaluation key
- zclawbench|llm-stats-current
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about ZClawBench.
Which model scores highest on ZClawBench?
Qwen3.7 Max is currently ranked first with 64.3%.
What does ZClawBench measure?
ZClawBench evaluates Claw-style agent task execution quality, measuring a model's ability to autonomously complete complex multi-step coding tasks in real-world environments.
Is a higher score better?
Yes. Higher values rank better for this benchmark.
How many models are compared?
4 model results are currently shown.
Does this benchmark affect the overall score?
Yes. This benchmark can contribute to the current LLMBoard capability score.