Qwen's internal OpenClaw-style benchmark for measuring broad real-world agent performance across practical productivity and research tasks.
As of March 2026, Qwen3.6 Plus leads the QwenClawBench leaderboard with 57.2% , followed by Kimi K2.5 (54.3%) and GLM-5 (54.1%).
Qwen3.6 Plus
Alibaba
Kimi K2.5
Moonshot AI
GLM-5
Zhipu AI
According to BenchLM.ai, Qwen3.6 Plus leads the QwenClawBench benchmark with a score of 57.2%, followed by Kimi K2.5 (54.3%) and GLM-5 (54.1%). The scores show moderate spread, with meaningful differences between the top tier and mid-tier models.
5 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.
Qwen3.6 launch benchmarksVersion
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.
5 AI models have been evaluated on QwenClawBench on BenchLM.
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