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QwenClawBench

We show this table for reference; we do not rank on it.

Data verified

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

Benchmark score on QwenClawBench — November 13, 2026

We compile the QwenClawBench rows from provider self-reports and secondary reports. Qwen3.7 Max leads the table at 64.3%, followed by Qwen3.7 Plus (61.8%) and Qwen 3.6 Max (preview) (59.0%). We do not use these results to rank models overall.

10 modelsAgenticCurrentDisplay onlyUpdated November 13, 2026

Benchmark score table (10 models)

None of the 10 results on this page has a documented run by the benchmark or an independent evaluator: 7 reported by the labs that built the models and 3 reported in another publisher’s document.

Benchmark score results for QwenClawBench
RankModel / configurationScoreParameters (B)Open / closed
1Qwen3.7 MaxAlibabaReported by Alibaba
64.3%
Not reportedClosed
2Qwen3.7 PlusAlibabaReported by Alibaba
61.8%
Not reportedClosed
3Qwen 3.6 Max (preview)AlibabaReported by Alibaba
59.0%
Not reportedClosed
4Qwen3.6 PlusAlibabaReported by Alibaba
57.2%
Not reportedClosed
5Kimi K2.5Moonshot AIAnother lab’s comparison table
54.3%
Not reportedOpen
6GLM-5Z.AIAnother lab’s comparison table
54.1%
Not reportedOpen
7Qwen3.6-27BAlibabaReported by Alibaba
53.4%
Not reportedOpen
8Qwen3.6-35B-A3BAlibabaReported by Alibaba
52.6%
Not reportedOpen
9Claude Opus 4.5AnthropicAnother lab’s comparison table
52.3%
Not reportedClosed
10Qwen3.5 397BAlibabaReported by Alibaba
51.8%
Not reportedOpen
  • Lab-reported
  • Benchmark-run
  • Independent
What the labels mean

Among the reported QwenClawBench rows, Qwen3.7 Max is 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. 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.

Freshness and 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.

Questions

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 published results on QwenClawBench in the BenchLM catalog.

Last updated: November 13, 2026 · BenchLM version QwenClawBench 2026

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