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. Qwen3.6 Plus leads the public snapshot at 57.2% , followed by Kimi K2.5 (54.3%) and GLM-5 (54.1%). BenchLM does not use these results to rank models overall.
Qwen3.6 Plus
Alibaba
Kimi K2.5
Moonshot AI
GLM-5
Z.AI
The published QwenClawBench snapshot is tightly clustered at the top: Qwen3.6 Plus sits at 57.2%, while the third row is only 3.1 points behind. The broader top-10 spread is 5.4 points, so many of the published scores sit in a relatively narrow band.
6 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.
Qwen3.6 Plus by Alibaba currently leads with a score of 57.2% on QwenClawBench.
6 AI models have been evaluated on QwenClawBench on BenchLM.
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