A vision-language browsing benchmark for multimodal web research and tool-use workflows.
BenchLM is tracking BrowseComp-VL in the local dataset, but exact-source verification records for these rows are still being attached. To avoid a blank benchmark page, BenchLM shows the current tracked rows below as a display-only reference table.
These tracked rows are useful for inspection and spot-checking, but until exact-source attachments are completed they should not be treated as fully verified public benchmark rows.
BenchLM mirrors the published tracked score view for BrowseComp-VL. GLM-5V-Turbo leads the public snapshot at 51.9% , followed by Kimi K2.5 (42.9%) and Claude Opus 4.6 (35.9%). BenchLM does not use these results to rank models overall.
GLM-5V-Turbo
Z.AI
glm-5v-turbo
Kimi K2.5
Moonshot AI
kimi-k2-5
Claude Opus 4.6
Anthropic
claude-opus-4-6
The published BrowseComp-VL snapshot is tightly clustered at the top: GLM-5V-Turbo sits at 51.9%, while the third row is only 16.0 points behind. The broader top-10 spread is 16.0 points, so the benchmark still separates strong models even when the leaders cluster.
3 models have been evaluated on BrowseComp-VL. The benchmark falls in the Agentic category. This category carries a 22% weight in BenchLM.ai's overall scoring system. BrowseComp-VL is currently displayed for reference but excluded from the scoring formula, so it does not directly affect overall rankings.
Year
2026
Tasks
Multimodal browsing tasks
Format
Vision-language web research evaluation
Difficulty
Multimodal browser-agent
BenchLM stores BrowseComp-VL as a display-only provider-table reference while keeping BrowseComp as the weighted core browsing benchmark.
Version
BrowseComp-VL 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.
A vision-language browsing benchmark for multimodal web research and tool-use workflows.
GLM-5V-Turbo currently leads the published BrowseComp-VL snapshot with a tracked score of 51.9%. BenchLM shows this benchmark for display only and does not use it in overall rankings.
3 AI models are included in BenchLM's mirrored BrowseComp-VL snapshot, based on the public leaderboard captured on April 16, 2026.
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