A Qwen benchmark for artifact and webpage generation quality reported as an Elo-style rating.
BenchLM mirrors the published score view for QwenWebBench. Qwen3.7 Max leads the public snapshot at 1568 , followed by Qwen 3.6 Max (preview) (1532) and Qwen3.6-27B (1487). BenchLM does not use these results to rank models overall.
Qwen3.7 Max
Alibaba
Qwen 3.6 Max (preview)
Alibaba
Qwen3.6-27B
Alibaba
The published QwenWebBench snapshot is tightly clustered at the top: Qwen3.7 Max sits at 1568, while the third row is only 81 points behind. The broader top-10 spread is 171 points, so the benchmark still separates strong models even when the leaders cluster.
4 models have been evaluated on QwenWebBench. The benchmark falls in the Agentic category. This category carries a 22% weight in BenchLM.ai's overall scoring system. QwenWebBench is currently displayed for reference but excluded from the scoring formula, so it does not directly affect overall rankings.
Year
2026
Tasks
Web artifacts and interactive deliverables
Format
Elo-style artifact benchmark
Difficulty
Artifact generation
QwenWebBench measures how strong a model is at producing web artifacts and interactive deliverables, with scores reported as Elo ratings rather than percentages. BenchLM tracks it as a display-only benchmark because it is a provider-specific artifact benchmark rather than a standardized public core benchmark.
Version
QwenWebBench 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.
A Qwen benchmark for artifact and webpage generation quality reported as an Elo-style rating.
Qwen3.7 Max by Alibaba currently leads with a score of 1568 on QwenWebBench.
4 AI models have been evaluated on QwenWebBench on BenchLM.
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