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agents benchmark

WildClawBench Leaderboard

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

Updated Oct 23, 2026

Models6
Model coverage6
MetricScore
EvidenceB

On this page

  • Ranking
  • Highlights
  • Distribution
  • Top models
  • About
  • FAQ

WildClawBench Ranking

Higher score ranks better on this benchmark.

6 rows
Columns

Show columns

Sort by
Rank
Model
Score
Percentile
Participants
Evidence
Evaluated
Rank01ModelACQwen3.8 Omni FlashAlibaba Cloud / Qwen TeamScore71.00%Percentile100.00%Participants6EvidenceCEvaluatedOct 22, 2026
Rank02ModelBYSeed 2.1 TurboByteDanceScore62.80%Percentile80.00%Participants6EvidenceCEvaluatedOct 22, 2026
Rank03ModelBYSeed 2.1 ProByteDanceScore61.70%Percentile60.00%Participants6EvidenceCEvaluatedOct 22, 2026
Rank04ModelTEHy3TencentScore53.60%Percentile40.00%Participants6EvidenceCEvaluatedOct 22, 2026
Rank05ModelMEMuse Glimmer-30BMetaScore47.60%Percentile20.00%Participants6EvidenceCEvaluatedOct 22, 2026
Rank06ModelXIMiMo-V2.5-ProXiaomiScore43.00%Percentile0.00%Participants6EvidenceCEvaluatedOct 22, 2026

WildClawBench Highlights

The leading models and scores on this benchmark.

WildClawBench Score Distribution

A closer view of the leading scores on this benchmark.

WildClawBench

The Top AI Models for WildClawBench

The first five results on this benchmark, with official price and output speed added where the model identity can be matched.

What is WildClawBench?

What WildClawBench measures and how its scores work.

WildClawBench is an agentic coding benchmark from InternLM/Claw-Eval.

It measures overall model performance on real-world tool-using development tasks, reported as a Score ratio.

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
No
Evaluation key
overall

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

FAQ

Common questions about WildClawBench.

Which model scores highest on WildClawBench?

Qwen3.8 Omni Flash is currently ranked first with 71.00%.

What are the top three models on WildClawBench?

The current leaders are Qwen3.8 Omni Flash (71.00%), Seed 2.1 Turbo (62.80%), and Seed 2.1 Pro (61.70%).

Which WildClawBench model has the lowest official input price?

Qwen3.8 Omni Flash has the lowest matched official input price at $0.15 input / $0.47 output per 1M tokens.

Which models are fastest among WildClawBench results?

No matched runtime record is currently available.

Does the highest score result prove overall model quality?

No. This benchmark measures one defined capability or task. The overall LLMBoard score uses a separate aggregation across eligible benchmark evidence.

What does WildClawBench measure?

It measures overall model performance on real-world tool-using development tasks, reported as a Score ratio.

Is a higher score better?

Yes. Higher values rank better for this benchmark.

How many models are compared?

6 model results are currently shown.

Does this benchmark affect the overall score?

No. This benchmark is shown for reference but does not contribute to the overall score.

Rank #1Qwen3.8 Omni Flash71.00%
Rank #2Seed 2.1 Turbo62.80%
Rank #3Seed 2.1 Pro61.70%
Rank #4Hy353.60%

Ranking basisThis wildclawbench AI model leaderboard uses descending score in the benchmark original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.

  1. 01
    AC
    Qwen3.8 Omni FlashAlibaba Cloud / Qwen Team
    Score
    71.00%
    Price
    $0.15 input / $0.47 output per 1M tokens

    Strengths

    • Ranks #1 of 6 compared models
    • 100th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures WildClawBench, not total model capability
  2. 02
    BY
    Seed 2.1 TurboByteDance
    Score
    62.80%

    Strengths

    • Ranks #2 of 6 compared models
    • 80th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures WildClawBench, not total model capability
  3. 03
    BY
    ByteDance
    Score
    61.70%

    Strengths

    • Ranks #3 of 6 compared models
    • 60th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures WildClawBench, not total model capability
  4. 04
    TE
    Tencent
    Score
    53.60%

    Strengths

    • Ranks #4 of 6 compared models
    • 40th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures WildClawBench, not total model capability
  5. 05
    ME
    Meta
    Score
    47.60%

    Strengths

    • Ranks #5 of 6 compared models
    • 20th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures WildClawBench, not total model capability

Selection summary

Best AI Models for WildClawBench

Qwen3.8 Omni Flash currently leads WildClawBench with 71.00%. It is the top model on this specific benchmark, while the best LLM for the broader task should also be checked against other benchmarks, price, and runtime.

Use this leaderboard with the supporting benchmark results and coverage details above. A leaderboard position summarizes the selected ranking signal; it does not replace workload-specific testing.

Seed 2.1 Pro
Hy3
Muse Glimmer-30B
Benchmark rank #1Qwen3.8 Omni Flash71.00% · $0.15 input / $0.47 output per 1M tokens
Benchmark rank #2Seed 2.1 Turbo62.80%
Benchmark rank #3Seed 2.1 Pro61.70%