BrowseComp-VL
Progress Over Time
Interactive timeline showing model performance evolution on BrowseComp-VL
BrowseComp-VL Leaderboard
| Context | Cost | License | ||||
|---|---|---|---|---|---|---|
| 1 |  Zhipu AI | — | — | — |
What is BrowseComp-VL?
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.
BrowseComp-VL is a multimodal benchmark evaluating models on multimodal, search, agents, and vision tasks. LLM Stats tracks 1 models on this benchmark, scored on a 0–1 scale. The current average is 0.5, with the leader at 0.5.
Compare leaders on the best AI for multimodal, best AI for search, best AI for agents and best AI for vision leaderboards.
Current leaders
GLM-5V-Turbo from Zhipu AI currently leads the BrowseComp-VL leaderboard with a score of 0.519 across 1 evaluated AI models.
FAQ
Common questions about the BrowseComp-VL benchmark and leaderboard.