BlogLLM Benchmark Scores as Published, Side by Side
We-Math: Results as Published
Every result the catalog holds for We-Math: 6 models from 5 developers, read from 1 page. Each number is as printed by the company named beside it; nothing is ranked or rescored. Models are listed by developer, newest first.
Area Multimodal UnderstandingMaintainer Runqi Qiao and co-authors (Beijing University of Posts and Telecommunications and others)Introduced 2024Data version 2026103001, as of 2026-10-30
We-Math tests visual math reasoning beyond the final answer. It collects 6.5K diagram problems spanning 67 knowledge concepts in five layers, and it splits each multi-step problem into the one-step sub-problems those concepts require. The model is scored on both the steps and the full problem, then placed in one of four outcomes: insufficient knowledge, inadequate generalization, complete mastery, or rote memorization. The project page also defines a strict and a loose version of that judgment, and it recommends the strict score on its 1,740-example testmini set.
We-Math
| Model | Value | Printed by | Setup as printed |
|---|---|---|---|
| GPT-5.2OpenAI, released 2025-12-11 | 79% | Alibaba, Qwen3.5-397B-A17B model cardchecked 2026-10-15 | - |
| Claude Opus 4.5Anthropic, released 2025-11-24 | 70% | Alibaba, Qwen3.5-397B-A17B model cardchecked 2026-10-15 | - |
| Gemini 3 ProGoogle, released 2025-11-18 | 86.9% | Alibaba, Qwen3.5-397B-A17B model cardchecked 2026-10-15 | - |
| Qwen3.5-397B-A17BAlibaba, released 2026-02-16 | 87.9% | Alibaba, Qwen3.5-397B-A17B model cardchecked 2026-10-15 | - |
| Qwen3-VL-235B-A22BAlibaba, released 2025-09-23 | 74.8% | Alibaba, Qwen3.5-397B-A17B model cardchecked 2026-10-15 | - |
| Kimi K2.5Moonshot AI, released 2026-01-27 | 84.7% | Alibaba, Qwen3.5-397B-A17B model cardchecked 2026-10-15 | - |
Every number here is read from the same catalog file as the benchmark table, data version 2026103001, and is the number the table shows for that model and test. Where one page printed a model under several setups, each value is listed. The catalog is public in armanobosyan/sugra-llm-benchmarks; a wrong number can be reported from the table, with Report an error under the value, or as an issue in that repository.