multimodal benchmark
BrowseComp-VL Leaderboard
BrowseComp-VL is a vision-language benchmark for web browsing comprehension tasks involving visual web page content and text.
Updated Sep 5, 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 | Score51.90% | Percentile100.00% | 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 original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.
- 01ZAZhipu AI
- Score
- 51.90%
- 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 51.90%. 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.
It measures performance on tasks that require processing visual web page content alongside text, using Score reported as a ratio.
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
- overall
LLM Stats. 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 51.90%.
What are the top three models on BrowseComp-VL?
The current leaders are GLM-5V-Turbo (51.90%).
Which BrowseComp-VL model has the lowest official input price?
GLM-5V-Turbo has the lowest matched official input price at $5.0 input / $22 output per 1M tokens.
Which models are fastest among BrowseComp-VL results?
No matched runtime record is currently available.
Does the highest score result prove overall model quality?
No. This benchmark measures one defined capability or task. The overall LLMBoard score uses a separate aggregation across eligible benchmark evidence.