Vision2Web
We show this table for reference; we do not rank on it.
A benchmark for converting visual references into functional web implementations.
Benchmark score on Vision2Web — September 27, 2026
We compile the Vision2Web rows from provider self-reports. Qwen3.8 Max leads the table at 69.0%, followed by Qwen3.8-Flash-Next (64.0%) and Qwen3.8-27B (62.9%). We do not use these results to rank models overall.
Qwen3.8 Max
Alibaba
Qwen3.8-Flash-Next
Alibaba
Qwen3.8-27B
Alibaba
4 modelsMultimodal & GroundedCurrentDisplay onlyUpdated September 27, 2026
Benchmark score table (4 models)
ScoreAmong the reported Vision2Web rows, Qwen3.8 Max is first at 69.0%. The third row is 6.1 points behind. The broader top-10 range is 6.1 points, so many of the published results sit in a relatively narrow band.
4 models have been evaluated on Vision2Web. The benchmark falls in the Multimodal & Grounded category. Vision2Web is currently displayed for reference but excluded from the scoring formula, so it does not directly affect overall rankings.
About Vision2Web
Year
2026
Tasks
Screenshot-to-web tasks
Format
Visual reference to web implementation
Difficulty
Multimodal web generation
BenchLM stores Vision2Web as a display-only screenshot-to-web benchmark reference outside the weighted core schema.
Freshness and provenance
Version
Vision2Web 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.
Questions
What does Vision2Web measure?
A benchmark for converting visual references into functional web implementations.
Which model scores highest on Vision2Web?
Qwen3.8 Max by Alibaba currently leads with a score of 69.0% on Vision2Web.
How many models are evaluated on Vision2Web?
4 AI models have been evaluated on Vision2Web on BenchLM.
Compare top models on Vision2Web
Know when it’s worth switching models
The model to choose, the cheaper alternative, and the release we would wait on.
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