llmboard.ai
Benchmarks
CompareRankings
llmboard.ai
Benchmarks
CompareRankings
HomeBenchmarksagentsQwenClawBench

agents benchmark

QwenClawBench

QwenClawBench is a real-user-distribution Claw agent benchmark for evaluating coding agents on realistic developer tasks.

Updated Aug 11, 2026

Models1
Model coverage1
MetricScore
EvidenceB

On this page

  • Ranking
  • Highlights
  • About
  • FAQ

QwenClawBench Ranking

Higher score ranks better on this benchmark.

1 rows
Columns

Show columns

1ACQwen3.7-PlusAlibaba Cloud / Qwen Team61.8%100.0%1CAug 11, 2026

QwenClawBench Highlights

The leading models and scores on this benchmark.

Rank #1Qwen3.7-Plus61.8%

What is QwenClawBench?

What QwenClawBench measures and how its scores work.

QwenClawBench is a real-user-distribution Claw agent benchmark for evaluating coding agents on realistic developer tasks.

Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.

Family
QwenClawBench
Modality
text
Primary category
agents
Score direction
higher
LLMBoard eligible
No
Evaluation key
qwenclawbench|llm-stats-current

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

FAQ

Common questions about QwenClawBench.

Which model scores highest on QwenClawBench?

Qwen3.7-Plus is currently ranked first with 61.8%.

What does QwenClawBench measure?

QwenClawBench is a real-user-distribution Claw agent benchmark for evaluating coding agents on realistic developer tasks.

Is a higher score better?

Yes. Higher values rank better for this benchmark.

How many models are compared?

1 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.

Rankings

OverallCodingText ArenaPricing

Modalities

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

Benchmarks

All BenchmarksReasoningMathCoding

Vendors

All VendorsOpenAIAnthropicGoogle
llmboard.aiCopyright 2026 llmboard.ai