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.
GLM-5V-Turbo from Zhipu AI currently leads the BrowseComp-VL leaderboard with a score of 0.519 across 1 evaluated AI models.
What BrowseComp-VL measures
BrowseComp-VL is a multimodal benchmark that evaluates large language models on multimodal, search, agents, and vision tasks. LLM Stats tracks 1 model on this benchmark, with a maximum possible score of 1. Current average across reported models is 0.5, with the leader reaching 0.5.
Compare leaders on the best AI for multimodal, best AI for search, best AI for agents and best AI for vision leaderboards.
GLM-5V-Turbo leads with 51.9%.
Progress Over Time
Interactive timeline showing model performance evolution on BrowseComp-VL
BrowseComp-VL Leaderboard
| Context | Cost | License | ||||
|---|---|---|---|---|---|---|
| 1 | Zhipu AI | — | — | — |
FAQ
Common questions about BrowseComp-VL.
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