multimodal benchmark
BrowseComp-VL Leaderboard
BrowseComp-VL is the vision-language variant of BrowseComp, evaluating multimodal models on web browsing comprehension tasks that require processing visual web page content alongside text.
Updated Aug 17, 2026
Models1
Model coverage1
MetricScore
EvidenceB
BrowseComp-VL Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelZA | Score51.9% | Percentile100.0% | Participants1 | EvidenceC | Evaluated |
BrowseComp-VL Highlights
The leading models and scores on this benchmark.
The Top AI Models for BrowseComp-VL
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
Ranking basisThis browsecomp-vl 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.
- 01ZAGLM-5V-TurboZhipu AI
- Score
- 51.9%
- Price
- $5.0 input / $22 output per 1M tokens
Strengths
- Ranks #1 of 1 compared models
- 100th percentile on this benchmark
- C evidence result
Considerations
- This result measures BrowseComp-VL, not total model capability
Selection summary
Best AI Models for BrowseComp-VL
GLM-5V-Turbo currently leads BrowseComp-VL with 51.9%. 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.
What is BrowseComp-VL?
What BrowseComp-VL measures and how its scores work.
BrowseComp-VL is the vision-language variant of BrowseComp, evaluating multimodal models on web browsing comprehension tasks that require processing visual web page content alongside text.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- BrowseComp-VL
- Modality
- multimodal
- Primary category
- multimodal
- Score direction
- higher
- LLMBoard eligible
- No
- Evaluation key
- browsecomp-vl|llm-stats-current
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about BrowseComp-VL.
Which model scores highest on BrowseComp-VL?
GLM-5V-Turbo is currently ranked first with 51.9%.
What does BrowseComp-VL measure?
BrowseComp-VL is the vision-language variant of BrowseComp, evaluating multimodal models on web browsing comprehension tasks that require processing visual web page content alongside text.
Is a higher score better?
Yes. Higher values rank better for this benchmark.
How many models are compared?
1 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.