A visual mathematics benchmark that tests whether a model can solve math problems grounded in diagrams, equations, figures, and other visual inputs.
BenchLM is tracking MathVision 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 MathVision. Qwen3.5 397B leads the public snapshot at 88.6% , followed by Qwen3.6 Plus (88.0%) and Gemini 3 Pro (86.6%). BenchLM does not use these results to rank models overall.
Qwen3.5 397B
Alibaba
qwen3-5-397b
Qwen3.6 Plus
Alibaba
qwen3-6-plus
Gemini 3 Pro
gemini-3-pro
The published MathVision snapshot is tightly clustered at the top: Qwen3.5 397B sits at 88.6%, while the third row is only 2.0 points behind. The broader top-10 spread is 14.3 points, so the benchmark still separates strong models even when the leaders cluster.
6 models have been evaluated on MathVision. The benchmark falls in the Multimodal & Grounded category. This category carries a 12% weight in BenchLM.ai's overall scoring system. MathVision is currently displayed for reference but excluded from the scoring formula, so it does not directly affect overall rankings.
Year
2026
Tasks
Visually grounded math problems
Format
Image + math reasoning
Difficulty
Advanced multimodal mathematics
MathVision matters because text-only math ability does not guarantee strong performance when the relevant information is embedded in images, geometry diagrams, or formatted equations.
Version
MathVision 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 visual mathematics benchmark that tests whether a model can solve math problems grounded in diagrams, equations, figures, and other visual inputs.
Qwen3.5 397B currently leads the published MathVision snapshot with a tracked score of 88.6%. BenchLM shows this benchmark for display only and does not use it in overall rankings.
6 AI models are included in BenchLM's mirrored MathVision snapshot, based on the public leaderboard captured on April 16, 2026.
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