A multimodal math benchmark for visually grounded mathematical reasoning and answer generation.
BenchLM is tracking We-Math 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 We-Math. Qwen3.6 Plus leads the public snapshot at 89.0% , followed by Qwen3.5 397B (87.9%) and Gemini 3 Pro (86.9%). BenchLM does not use these results to rank models overall.
Qwen3.6 Plus
Alibaba
qwen3-6-plus
Qwen3.5 397B
Alibaba
qwen3-5-397b
Gemini 3 Pro
gemini-3-pro
The published We-Math snapshot is tightly clustered at the top: Qwen3.6 Plus sits at 89.0%, while the third row is only 2.1 points behind. The broader top-10 spread is 19.0 points, so the benchmark still separates strong models even when the leaders cluster.
6 models have been evaluated on We-Math. The benchmark falls in the Multimodal & Grounded category. This category carries a 12% weight in BenchLM.ai's overall scoring system. We-Math 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
Multimodal mathematical reasoning
Difficulty
Advanced multimodal mathematics
We-Math is useful as a visual-math stress test because it combines symbolic reasoning with figure understanding. It helps reveal whether a model's math strength transfers into multimodal settings.
Version
We-Math 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 multimodal math benchmark for visually grounded mathematical reasoning and answer generation.
Qwen3.6 Plus currently leads the published We-Math snapshot with a tracked score of 89.0%. BenchLM shows this benchmark for display only and does not use it in overall rankings.
6 AI models are included in BenchLM's mirrored We-Math snapshot, based on the public leaderboard captured on April 10, 2026.
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