Qwen's internal OpenClaw-style benchmark for measuring broad real-world agent performance across practical productivity and research tasks.
BenchLM mirrors the published score view for QwenClawBench. Qwen 3.6 Max (preview) leads the public snapshot at 59.0% , followed by Qwen3.6 Plus (57.2%) and Kimi K2.5 (54.3%). BenchLM does not use these results to rank models overall.
Qwen 3.6 Max (preview)
Alibaba
Qwen3.6 Plus
Alibaba
Kimi K2.5
Moonshot AI
The published QwenClawBench snapshot is tightly clustered at the top: Qwen 3.6 Max (preview) sits at 59.0%, while the third row is only 4.7 points behind. The broader top-10 spread is 7.2 points, so many of the published scores sit in a relatively narrow band.
8 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.
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.
Version
QwenClawBench 2026
Refresh cadence
Quarterly
Staleness state
Current
Question availability
Public benchmark set
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.
Qwen's internal OpenClaw-style benchmark for measuring broad real-world agent performance across practical productivity and research tasks.
Qwen 3.6 Max (preview) by Alibaba currently leads with a score of 59.0% on QwenClawBench.
8 AI models have been evaluated on QwenClawBench on BenchLM.
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