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multimodal benchmark

Vision2Web Leaderboard

Vision2Web evaluates multimodal models on converting visual designs and screenshots into functional web pages, measuring end-to-end design-to-code capability.

Updated Aug 17, 2026

Models3
Model coverage3
MetricScore
EvidenceB

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Vision2Web Ranking

Higher score ranks better on this benchmark.

3 rows
Columns

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Sort by
Rank
Model
Score
Percentile
Participants
Evidence
Evaluated
Rank01ModelACQwen3.8 MaxAlibaba Cloud / Qwen TeamScore69.0%Percentile100.0%Participants3EvidenceCEvaluatedAug 17, 2026
Rank02ModelACQwen3.8-27BAlibaba Cloud / Qwen TeamScore62.9%Percentile50.0%Participants3EvidenceCEvaluatedAug 17, 2026
Rank03ModelZAGLM-5V-TurboZhipu AIScore31.0%Percentile0.0%Participants3EvidenceCEvaluatedAug 17, 2026

Vision2Web Highlights

The leading models and scores on this benchmark.

Rank #1Qwen3.8 Max69.0%Rank #2Qwen3.8-27B62.9%Rank #3GLM-5V-Turbo31.0%

Vision2Web Score Distribution

A closer view of the leading scores on this benchmark.

Vision2Web

The Top AI Models for Vision2Web

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

Ranking basisThis vision2web 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
    Qwen3.8 MaxAlibaba Cloud / Qwen Team
    Score
    69.0%
    Price
    $2.0 input / $6.0 output per 1M tokens

    Strengths

    • Ranks #1 of 3 compared models
    • 100th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures Vision2Web, not total model capability
  2. 02
    AC
    Qwen3.8-27BAlibaba Cloud / Qwen Team
    Score
    62.9%

    Strengths

    • Ranks #2 of 3 compared models
    • 50th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures Vision2Web, not total model capability
  3. 03
    ZA
    GLM-5V-TurboZhipu AI
    Score
    31.0%
    Price
    $5.0 input / $22 output per 1M tokens

    Strengths

    • Ranks #3 of 3 compared models
    • 0th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures Vision2Web, not total model capability

Selection summary

Best AI Models for Vision2Web

Qwen3.8 Max currently leads Vision2Web with 69.0%. 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 #1Qwen3.8 Max69.0% · $2.0 input / $6.0 output per 1M tokensBenchmark rank #2Qwen3.8-27B62.9%Benchmark rank #3GLM-5V-Turbo31.0% · $5.0 input / $22 output per 1M tokens

What is Vision2Web?

What Vision2Web measures and how its scores work.

Vision2Web evaluates multimodal models on converting visual designs and screenshots into functional web pages, measuring end-to-end design-to-code capability.

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

Family
Vision2Web
Modality
multimodal
Primary category
multimodal
Score direction
higher
LLMBoard eligible
Yes
Evaluation key
vision2web|llm-stats-current

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

FAQ

Common questions about Vision2Web.

Which model scores highest on Vision2Web?

Qwen3.8 Max is currently ranked first with 69.0%.

What does Vision2Web measure?

Vision2Web evaluates multimodal models on converting visual designs and screenshots into functional web pages, measuring end-to-end design-to-code capability.

Is a higher score better?

Yes. Higher values rank better for this benchmark.

How many models are compared?

3 model results are currently shown.

Does this benchmark affect the overall score?

Yes. This benchmark can contribute to the current LLMBoard capability score.