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Benchmark profile

QwenClawBench

Qwen's internal OpenClaw-style benchmark for measuring broad real-world agent performance across practical productivity and research tasks.

Data verified

Benchmark score on QwenClawBench — July 23, 2026

BenchLM mirrors the published score view for QwenClawBench. Qwen3.7 Max leads the public snapshot at 64.3% , followed by Qwen3.7 Plus (61.8%) and Qwen 3.6 Max (preview) (59.0%). BenchLM does not use these results to rank models overall.

10 modelsAgenticCurrentDisplay onlyUpdated July 23, 2026

Benchmark score table (10 models)

Score
1
Qwen3.7 MaxAlibaba · Closed
64.3%
2
Qwen3.7 PlusAlibaba · Closed
61.8%
3
Qwen 3.6 Max (preview)Alibaba · Closed
59.0%
4
Qwen3.6 PlusAlibaba · Closed
57.2%
5
Kimi K2.5Moonshot AI · Open weight
54.3%
6
GLM-5Z.AI · Open weight
54.1%
7
Qwen3.6-27BAlibaba · Open weight
53.4%
8
Qwen3.6-35B-A3BAlibaba · Open weight
52.6%
9
Claude Opus 4.5Anthropic · Closed
52.3%
10
Qwen3.5 397BAlibaba · Open weight
51.8%

The published QwenClawBench snapshot places Qwen3.7 Max first at 64.3%. The third row is 5.3 points behind. The broader top-10 range is 12.5 points, so the table still separates the published systems.

10 models have been evaluated on QwenClawBench. The benchmark falls in the Agentic category. This category carries a 22% weight in BenchLM.ai's overall scoring system. QwenClawBench is currently displayed for reference but excluded from the scoring formula, so it does not directly affect overall rankings.

About QwenClawBench

Year

2026

Tasks

Real-world agent workflows

Format

End-to-end agent evaluation

Difficulty

Broad real-world agentic execution

QwenClawBench appears in the Qwen3.6 launch comparisons as an internal real-world agent benchmark. BenchLM tracks it separately rather than merging it into other Claw-style benchmarks because the task mix and exact protocol are Qwen-specific.

BenchLM freshness & provenance

Version

QwenClawBench 2026

Refresh cadence

Quarterly

Staleness state

Current

Question availability

Public benchmark set

CurrentDisplay only

BenchLM uses freshness metadata to decide whether a benchmark should still be treated as a strong differentiator, a benchmark to watch, or a display-only reference. For the full scoring policy, see the BenchLM methodology page.

FAQ

What does QwenClawBench measure?

Qwen's internal OpenClaw-style benchmark for measuring broad real-world agent performance across practical productivity and research tasks.

Which model scores highest on QwenClawBench?

Qwen3.7 Max by Alibaba currently leads with a score of 64.3% on QwenClawBench.

How many models are evaluated on QwenClawBench?

10 AI models have been evaluated on QwenClawBench on BenchLM.

Last updated: July 23, 2026 · BenchLM version QwenClawBench 2026

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