# Video-MME (with subtitle) → We-Math

Calibration · https://benchgap.net/calibration/1638 · data retrieved 2026-10-29

We-Math is estimated from Video-MME (with subtitle) with a offset logistic curve fitted on 6 models measured on both: y = 0.6930 + (0.8734 − 0.6930) / (1 + exp(−175.74·(x − 0.8592))), R² = 0.98, cross-validated error 3.5 pp. It is used for 3 estimates.

| Estimated model | Video-MME (with subtitle) | We-Math | Source |
|---|---|---|---|
| [MiMo-V2.5](https://benchgap.net/model/mimo-v2-5.md) | 87.7% | 86.6% | estimated ± 3.5 pp, medium confidence |
| [Qwen3.6-35B-A3B](https://benchgap.net/model/qwen3-6-35b-a3b.md) | 86.6% | 83.2% | estimated ± 3.5 pp, medium confidence |
| [MiniMax M3](https://benchgap.net/model/minimax-m3.md) | 85.4% | 74.5% | estimated ± 3.5 pp, medium confidence |

## Fitted on

| Model | Video-MME (with subtitle) | We-Math |
|---|---|---|
| [Claude Opus 4.5](https://benchgap.net/model/claude-opus-4-5.md) | 77.6% | 70.0% |
| [Gemini 3 Pro](https://benchgap.net/model/gemini-3-pro.md) | 88.4% | 86.9% |
| [GPT-5.2](https://benchgap.net/model/gpt-5-2.md) | 86.0% | 79.0% |
| [Kimi K2.5](https://benchgap.net/model/kimi-k2-5.md) | 87.4% | 84.7% |
| [LFM3-VL-2B](https://benchgap.net/model/lfm3-vl-2b.md) | 69.0% | 68.6% |
| [Qwen3.5 397B](https://benchgap.net/model/qwen3-5-397b.md) | 87.5% | 87.9% |