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multimodal benchmark

QwenWebBench Leaderboard

QwenWebBench is an internal front-end code generation benchmark by Qwen. It is bilingual (EN/CN) and spans 7 categories (Web Design, Web Apps, Games, SVG, Data Visualization, Animation, and 3D), using auto-render plus a multimodal judge for code and visual correctness. Scores are reported as BT/Elo ratings.

Updated Aug 17, 2026

Models2
Model coverage2
MetricScore
EvidenceB

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QwenWebBench Ranking

Higher score ranks better on this benchmark.

2 rows
Columns

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Rank
Model
Score
Percentile
Participants
Evidence
Evaluated
Rank01ModelACQwen3.7 MaxAlibaba Cloud / Qwen TeamScore1,568 pointsPercentile100.0%Participants2EvidenceCEvaluatedAug 17, 2026
Rank02ModelACQwen3.6-27BAlibaba Cloud / Qwen TeamScore1,487 pointsPercentile0.0%Participants2EvidenceCEvaluatedAug 17, 2026

QwenWebBench Highlights

The leading models and scores on this benchmark.

Rank #1Qwen3.7 Max1,568 pointsRank #2Qwen3.6-27B1,487 points

QwenWebBench Score Distribution

A closer view of the leading scores on this benchmark.

QwenWebBench

The Top AI Models for QwenWebBench

The first five results on this benchmark, with official price and output speed added where the model identity can be matched.

Ranking basisThis qwenwebbench AI model leaderboard uses descending score in the benchmark's original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.

  1. 01
    AC
    Qwen3.7 MaxAlibaba Cloud / Qwen Team
    Score
    1,568 points
    Price
    $2.5 input / $7.5 output per 1M tokens
    Speed
    Up to 5.8 tok/s via Together

    Strengths

    • Ranks #1 of 2 compared models
    • 100th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures QwenWebBench, not total model capability
  2. 02
    AC
    Qwen3.6-27BAlibaba Cloud / Qwen Team
    Score
    1,487 points
    Price
    $0.60 input / $3.6 output per 1M tokens
    Speed
    Up to 6.1 tok/s via Novita

    Strengths

    • Ranks #2 of 2 compared models
    • 0th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures QwenWebBench, not total model capability

Selection summary

Best AI Models for QwenWebBench

Qwen3.7 Max currently leads QwenWebBench with 1,568 points. It is the top model on this specific benchmark, while the best LLM for the broader task should also be checked against other benchmarks, price and runtime.

Use this leaderboard with the supporting benchmark results and coverage details above. A leaderboard position summarizes the selected ranking signal; it does not replace workload-specific testing.

Benchmark rank #1Qwen3.7 Max1,568 points · $2.5 input / $7.5 output per 1M tokensBenchmark rank #2Qwen3.6-27B1,487 points · $0.60 input / $3.6 output per 1M tokens

What is QwenWebBench?

What QwenWebBench measures and how its scores work.

QwenWebBench is an internal front-end code generation benchmark by Qwen. It is bilingual (EN/CN) and spans 7 categories (Web Design, Web Apps, Games, SVG, Data Visualization, Animation, and 3D), using auto-render plus a multimodal judge for code and visual correctness. Scores are reported as BT/Elo ratings.

Scores are shown in points. This benchmark is not independently verified and has an evidence level of B.

Family
QwenWebBench
Modality
multimodal
Primary category
multimodal
Score direction
higher
LLMBoard eligible
No
Evaluation key
qwenwebbench|llm-stats-current

Benchmark scores retain their original unit. Overall score eligibility is shown separately.

FAQ

Common questions about QwenWebBench.

Which model scores highest on QwenWebBench?

Qwen3.7 Max is currently ranked first with 1,568 points.

What does QwenWebBench measure?

QwenWebBench is an internal front-end code generation benchmark by Qwen. It is bilingual (EN/CN) and spans 7 categories (Web Design, Web Apps, Games, SVG, Data Visualization, Animation, and 3D), using auto-render plus a multimodal judge for code and visual correctness. Scores are reported as BT/Elo ratings.

Is a higher score better?

Yes. Higher values rank better for this benchmark.

How many models are compared?

2 model results are currently shown.

Does this benchmark affect the overall score?

No. This benchmark is shown for reference but does not contribute to the overall score.