# SuperGPQA → GPQA Diamond

Calibration · https://benchgap.net/calibration/1447 · data retrieved 2026-10-29

GPQA Diamond is estimated from SuperGPQA with a Michaelis–Menten + offset curve fitted on 7 models measured on both: y = 0.0000 + 1.8609·x / (0.82112 + x), R² = 0.87, cross-validated error 12.9 pp. It is used for 2 estimates.

| Estimated model | SuperGPQA | GPQA Diamond | Source |
|---|---|---|---|
| [Seed 2.1 Pro](https://benchgap.net/model/seed-2-1-pro.md) | 70.8% | 86.2% | estimated ± 12.9 pp, low confidence |
| [Seed 2.1 Turbo](https://benchgap.net/model/seed-2-1-turbo.md) | 67.4% | 83.9% | estimated ± 12.9 pp, low confidence |

## Fitted on

| Model | SuperGPQA | GPQA Diamond |
|---|---|---|
| [Claude Opus 4.6](https://benchgap.net/model/claude-opus-4-6.md) | 95.0% | 89.2% |
| [GLM-5](https://benchgap.net/model/glm-5.md) | 66.8% | 86.0% |
| [Kimi K2.5](https://benchgap.net/model/kimi-k2-5.md) | 69.2% | 87.6% |
| [MiniCPM5-1B](https://benchgap.net/model/minicpm5-1b.md) | 23.1% | 26.3% |
| [MiniCPM5-2B](https://benchgap.net/model/minicpm5-2b.md) | 40.8% | 70.2% |
| [Qwen3.7 Max](https://benchgap.net/model/qwen3-7-max.md) | 73.6% | 92.4% |
| [Qwen3.7 Plus](https://benchgap.net/model/qwen3-7-plus.md) | 71.4% | 90.3% |