math benchmark
We-Math Leaderboard
We-Math evaluates multimodal models on visual mathematical reasoning, requiring models to understand and solve math problems presented with visual elements such as diagrams, charts, and geometric figures.
Updated Aug 17, 2026
Models1
Model coverage1
MetricScore
EvidenceB
We-Math Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelAC | Score89.0% | Percentile100.0% | Participants1 | EvidenceC | Evaluated |
We-Math Highlights
The leading models and scores on this benchmark.
The Top AI Models for We-Math
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
Ranking basisThis we-math AI model leaderboard uses descending score in the benchmark's original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.
- 01ACQwen3.6 PlusAlibaba Cloud / Qwen Team
- Score
- 89.0%
- Price
- $0.50 input / $3.0 output per 1M tokens
- Speed
- Up to 16 tok/s via Together
Strengths
- Ranks #1 of 1 compared models
- 100th percentile on this benchmark
- C evidence result
Considerations
- This result measures We-Math, not total model capability
Selection summary
Best AI Models for We-Math
Qwen3.6 Plus currently leads We-Math with 89.0%. It is the top model on this specific benchmark, while the best LLM for the broader task should also be checked against other benchmarks, price and runtime.
Use this leaderboard with the supporting benchmark results and coverage details above. A leaderboard position summarizes the selected ranking signal; it does not replace workload-specific testing.
What is We-Math?
What We-Math measures and how its scores work.
We-Math evaluates multimodal models on visual mathematical reasoning, requiring models to understand and solve math problems presented with visual elements such as diagrams, charts, and geometric figures.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- We-Math
- Modality
- multimodal
- Primary category
- math
- Score direction
- higher
- LLMBoard eligible
- No
- Evaluation key
- we-math|llm-stats-current
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about We-Math.
Which model scores highest on We-Math?
Qwen3.6 Plus is currently ranked first with 89.0%.
What does We-Math measure?
We-Math evaluates multimodal models on visual mathematical reasoning, requiring models to understand and solve math problems presented with visual elements such as diagrams, charts, and geometric figures.
Is a higher score better?
Yes. Higher values rank better for this benchmark.
How many models are compared?
1 model results are currently shown.
Does this benchmark affect the overall score?
No. This benchmark is shown for reference but does not contribute to the overall score.