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Benchmark profile

We-Math

A multimodal math benchmark for visually grounded mathematical reasoning and answer generation.

Data verified

How BenchLM shows We-Math right now

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.

6 tracked modelsLocal tracked rowsAwaiting exact-source attachmentsDisplay only

Tracked score on We-Math — July 23, 2026

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.

6 modelsMultimodal & GroundedCurrentDisplay onlyUpdated July 23, 2026

Tracked score table (6 models)

Score
1
89.0%
2
87.9%
3
86.9%
4
Kimi K2.5Moonshot AI
84.7%
5
GPT-5.2OpenAI
79.0%
6
70.0%

The published We-Math snapshot places Qwen3.6 Plus first at 89.0%. The third row is 2.1 points behind. The broader top-10 range is 19.0 points, so the table still separates the published systems.

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.

About We-Math

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.

BenchLM freshness & provenance

Version

We-Math 2026

Refresh cadence

Quarterly

Staleness state

Current

Question availability

Public benchmark set

CurrentDisplay only

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.

FAQ

What does We-Math measure?

A multimodal math benchmark for visually grounded mathematical reasoning and answer generation.

Which model leads the published We-Math snapshot?

Qwen3.6 Plus currently leads the published We-Math snapshot with 89.0% tracked score. BenchLM shows this benchmark for display only and does not use it in overall rankings.

How many models are evaluated on We-Math?

6 AI models are included in BenchLM's mirrored We-Math snapshot, based on the public leaderboard captured on July 23, 2026.

Last updated: July 23, 2026 · mirrored from the public benchmark leaderboard

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