# SimpleVQA → MedXpertQA (MM)

Calibration · https://benchgap.net/calibration/1430 · data retrieved 2026-10-29

MedXpertQA (MM) is estimated from SimpleVQA with a offset logistic curve fitted on 6 models measured on both: y = 0.6501 + (0.7777 − 0.6501) / (1 + exp(−151.54·(x − 0.5920))), R² = 0.64, cross-validated error 7.1 pp. It is used for 1 estimate.

| Estimated model | SimpleVQA | MedXpertQA (MM) | Source |
|---|---|---|---|
| [LFM2.5-VL-3B](https://benchgap.net/model/lfm2-5-vl-3b.md) | 35.4% | 65.0% | estimated ± 7.1 pp, low confidence |

## Fitted on

| Model | SimpleVQA | MedXpertQA (MM) |
|---|---|---|
| [Gemini 3.1 Pro](https://benchgap.net/model/gemini-3-1-pro.md) | 72.4% | 81.3% |
| [GPT-5.4](https://benchgap.net/model/gpt-5-4.md) | 61.1% | 77.1% |
| [Grok 4.20](https://benchgap.net/model/grok-4-20-beta.md) | 57.4% | 65.8% |
| [Muse Spark](https://benchgap.net/model/muse-spark.md) | 71.3% | 78.4% |
| [Qwen3.7 Plus](https://benchgap.net/model/qwen3-7-plus.md) | 81.7% | 71.0% |
| [Qwen3.8 Max](https://benchgap.net/model/qwen3-8-max.md) | 75.0% | 80.4% |