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agents benchmark

WildClawBench

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

Models5
Model coverage5
MetricScore
EvidenceB

On this page

  • Ranking
  • Distribution
  • Highlights
  • About
  • FAQ

WildClawBench Ranking

Higher score ranks better on this benchmark.

5 rows
Columns

Show columns

1BYSeed 2.1 TurboByteDance62.8%100.0%5CAug 11, 2026
2BYSeed 2.1 ProByteDance61.7%75.0%5CAug 11, 2026
3TEHy3Tencent53.6%50.0%5CAug 11, 2026
4MEMuse Glimmer-30BMeta47.6%25.0%5CAug 11, 2026
5XIMiMo-V2.5-ProXiaomi43.0%0.0%5CAug 11, 2026

WildClawBench Score Distribution

A closer view of the leading scores on this benchmark.

WildClawBench

WildClawBench Highlights

The leading models and scores on this benchmark.

Rank #1Seed 2.1 Turbo62.8%Rank #2Seed 2.1 Pro61.7%Rank #3Hy353.6%Rank #4Muse Glimmer-30B47.6%

What is WildClawBench?

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.

Family
WildClawBench
Modality
text
Primary category
agents
Score direction
higher
LLMBoard eligible
Yes
Evaluation key
wildclawbench|llm-stats-current

Benchmark scores retain their original unit. Overall score eligibility is shown separately.

FAQ

Common questions about WildClawBench.

Which model scores highest on WildClawBench?

Seed 2.1 Turbo is currently ranked first with 62.8%.

What does WildClawBench measure?

WildClawBench is an agentic coding benchmark from InternLM/Claw-Eval that reports overall model performance on real-world tool-using development tasks.

Is a higher score better?

Yes. Higher values rank better for this benchmark.

How many models are compared?

5 model results are currently shown.

Does this benchmark affect the overall score?

Yes. This benchmark can contribute to the current LLMBoard capability score.

Rankings

OverallCodingText ArenaPricing

Modalities

All ModelsImage GenerationImage EditingVideo GenerationImage-to-VideoVideo EditingText-to-SpeechSpeech-to-TextEmbeddings

Benchmarks

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