# SimpleVQA → MMMU-Pro

Calibration · https://benchgap.net/calibration/1433 · data retrieved 2026-10-29

MMMU-Pro is estimated from SimpleVQA with a Hill curve fitted on 16 models measured on both: y = 0.0000 + (0.8130 − 0.0000)·x^6.00 / (0.36526^6.00 + x^6.00), R² = 0.94, cross-validated error 5.1 pp. It is used for 0 estimates.

## Fitted on

| Model | SimpleVQA | MMMU-Pro |
|---|---|---|
| [Claude Opus 4.5](https://benchgap.net/model/claude-opus-4-5.md) | 65.7% | 70.6% |
| [dots3-note Preview](https://benchgap.net/model/dots3-note-preview.md) | 72.5% | 79.1% |
| [Gemini 3.1 Pro](https://benchgap.net/model/gemini-3-1-pro.md) | 72.4% | 83.9% |
| [Gemini 3 Pro](https://benchgap.net/model/gemini-3-pro.md) | 73.2% | 81.0% |
| [GPT-5.2](https://benchgap.net/model/gpt-5-2.md) | 55.8% | 79.5% |
| [GPT-5.4](https://benchgap.net/model/gpt-5-4.md) | 61.1% | 81.2% |
| [Grok 4.20](https://benchgap.net/model/grok-4-20-beta.md) | 57.4% | 75.2% |
| [Kimi K2.5](https://benchgap.net/model/kimi-k2-5.md) | 71.2% | 78.5% |
| [LFM2.5-VL-3B](https://benchgap.net/model/lfm2-5-vl-3b.md) | 35.4% | 30.5% |
| [LFM3-VL-2B](https://benchgap.net/model/lfm3-vl-2b.md) | 36.3% | 45.7% |
| [Muse Spark](https://benchgap.net/model/muse-spark.md) | 71.3% | 80.4% |
| [Qwen3.5 397B](https://benchgap.net/model/qwen3-5-397b.md) | 67.1% | 79.0% |
| [Qwen3.6-27B](https://benchgap.net/model/qwen3-6-27b.md) | 56.1% | 75.8% |
| [Qwen3.6-35B-A3B](https://benchgap.net/model/qwen3-6-35b-a3b.md) | 58.9% | 75.3% |
| [Qwen3.7 Plus](https://benchgap.net/model/qwen3-7-plus.md) | 81.7% | 79.0% |
| [Qwen3.8 Max](https://benchgap.net/model/qwen3-8-max.md) | 75.0% | 82.3% |