# SuperGPQA → MMLU-Pro

Calibration · https://benchgap.net/calibration/1449 · data retrieved 2026-10-29

MMLU-Pro is estimated from SuperGPQA with a Michaelis–Menten curve fitted on 19 models measured on both: y = 1.1467·x / (0.24027 + x), R² = 0.76, cross-validated error 6.3 pp. It is used for 2 estimates.

| Estimated model | SuperGPQA | MMLU-Pro | Source |
|---|---|---|---|
| [Seed 2.1 Pro](https://benchgap.net/model/seed-2-1-pro.md) | 70.8% | 85.6% | estimated ± 6.3 pp, medium confidence |
| [Seed 2.1 Turbo](https://benchgap.net/model/seed-2-1-turbo.md) | 67.4% | 84.5% | estimated ± 6.3 pp, medium confidence |

## Fitted on

| Model | SuperGPQA | MMLU-Pro |
|---|---|---|
| [Claude Opus 4.5](https://benchgap.net/model/claude-opus-4-5.md) | 70.6% | 89.5% |
| [Claude Opus 4.6](https://benchgap.net/model/claude-opus-4-6.md) | 95.0% | 82.0% |
| [Claude Sonnet 4.6](https://benchgap.net/model/claude-sonnet-4-6.md) | 95.0% | 79.2% |
| [GLM-5](https://benchgap.net/model/glm-5.md) | 66.8% | 85.7% |
| [Kimi K2](https://benchgap.net/model/kimi-k2.md) | 57.2% | 81.1% |
| [Kimi K2.5](https://benchgap.net/model/kimi-k2-5.md) | 69.2% | 87.1% |
| [MiniCPM5-1B](https://benchgap.net/model/minicpm5-1b.md) | 23.1% | 48.9% |
| [MiniCPM5-2B](https://benchgap.net/model/minicpm5-2b.md) | 40.8% | 70.8% |
| [Qwen3 235B 2507](https://benchgap.net/model/qwen3-235b-2507.md) | 62.6% | 83.0% |
| [Qwen3 235B 2507 (Reasoning)](https://benchgap.net/model/qwen3-235b-2507-reasoning.md) | 64.9% | 84.4% |
| [Qwen3.5-122B-A10B](https://benchgap.net/model/qwen3-5-122b-a10b.md) | 67.1% | 86.7% |
| [Qwen3.5-27B](https://benchgap.net/model/qwen3-5-27b.md) | 65.6% | 86.1% |
| [Qwen3.5-35B-A3B](https://benchgap.net/model/qwen3-5-35b-a3b.md) | 63.4% | 85.3% |
| [Qwen3.5 397B](https://benchgap.net/model/qwen3-5-397b.md) | 70.4% | 87.8% |
| [Qwen3.6-27B](https://benchgap.net/model/qwen3-6-27b.md) | 66.0% | 86.2% |
| [Qwen3.6-35B-A3B](https://benchgap.net/model/qwen3-6-35b-a3b.md) | 64.7% | 85.2% |
| [Qwen3.6 Plus](https://benchgap.net/model/qwen3-6-plus.md) | 71.6% | 88.5% |
| [Qwen3.7 Max](https://benchgap.net/model/qwen3-7-max.md) | 73.6% | 89.6% |
| [Qwen3.7 Plus](https://benchgap.net/model/qwen3-7-plus.md) | 71.4% | 88.5% |