# We-Math → ERQA

Calibration · https://benchgap.net/calibration/1670 · data retrieved 2026-10-29

ERQA is estimated from We-Math with a inverse Michaelis–Menten curve fitted on 5 models measured on both: y = 0.89565·(x − 0.0000) / (0.0000 + 2.0000 − x), R² = 0.97, cross-validated error 2.7 pp. It is used for 1 estimate.

| Estimated model | We-Math | ERQA | Source |
|---|---|---|---|
| [Kimi K2.5](https://benchgap.net/model/kimi-k2-5.md) | 84.7% | 65.8% | estimated ± 2.7 pp, medium confidence |

## Fitted on

| Model | We-Math | ERQA |
|---|---|---|
| [Claude Opus 4.5](https://benchgap.net/model/claude-opus-4-5.md) | 70.0% | 46.8% |
| [Gemini 3 Pro](https://benchgap.net/model/gemini-3-pro.md) | 86.9% | 70.5% |
| [GPT-5.2](https://benchgap.net/model/gpt-5-2.md) | 79.0% | 59.8% |
| [LFM3-VL-2B](https://benchgap.net/model/lfm3-vl-2b.md) | 68.6% | 48.2% |
| [Qwen3.5 397B](https://benchgap.net/model/qwen3-5-397b.md) | 87.9% | 67.5% |