# SuperGPQA → Artificial Analysis Intelligence Index

Calibration · https://benchgap.net/calibration/1444 · data retrieved 2026-10-29

Artificial Analysis Intelligence Index is estimated from SuperGPQA with a offset logistic curve fitted on 12 models measured on both: y = 0.1193 + (0.2666 − 0.1193) / (1 + exp(−47.14·(x − 0.6335))), R² = 0.81, cross-validated error 3.0 pp. It is used for 10 estimates.

| Estimated model | SuperGPQA | Artificial Analysis Intelligence Index | Source |
|---|---|---|---|
| [Qwen3.7 Plus](https://benchgap.net/model/qwen3-7-plus.md) | 71.4% | 26.3% | estimated ± 3.0 pp, high confidence |
| [Seed 2.1 Pro](https://benchgap.net/model/seed-2-1-pro.md) | 70.8% | 26.2% | estimated ± 3.0 pp, high confidence |
| [Qwen3.5 397B](https://benchgap.net/model/qwen3-5-397b.md) | 70.4% | 26.1% | estimated ± 3.0 pp, high confidence |
| [Seed 2.1 Turbo](https://benchgap.net/model/seed-2-1-turbo.md) | 67.4% | 24.8% | estimated ± 3.0 pp, high confidence |
| [Qwen3.5-122B-A10B](https://benchgap.net/model/qwen3-5-122b-a10b.md) | 67.1% | 24.5% | estimated ± 3.0 pp, high confidence |
| [Qwen3 235B 2507 (Reasoning)](https://benchgap.net/model/qwen3-235b-2507-reasoning.md) | 64.9% | 21.9% | estimated ± 3.0 pp, high confidence |
| [Qwen3.6-35B-A3B](https://benchgap.net/model/qwen3-6-35b-a3b.md) | 64.7% | 21.6% | estimated ± 3.0 pp, high confidence |
| [Qwen3 235B 2507](https://benchgap.net/model/qwen3-235b-2507.md) | 62.6% | 18.0% | estimated ± 3.0 pp, high confidence |
| [MiniCPM5-2B](https://benchgap.net/model/minicpm5-2b.md) | 40.8% | 11.9% | estimated ± 3.0 pp, medium confidence |
| [MiniCPM5-1B](https://benchgap.net/model/minicpm5-1b.md) | 23.1% | 11.9% | estimated ± 3.0 pp, medium confidence |

## Fitted on

| Model | SuperGPQA | Artificial Analysis Intelligence Index |
|---|---|---|
| [Claude Opus 4.5](https://benchgap.net/model/claude-opus-4-5.md) | 70.6% | 23.7% |
| [Claude Opus 4.6](https://benchgap.net/model/claude-opus-4-6.md) | 95.0% | 26.4% |
| [Claude Sonnet 4.6](https://benchgap.net/model/claude-sonnet-4-6.md) | 95.0% | 24.7% |
| [GLM-5](https://benchgap.net/model/glm-5.md) | 66.8% | 27.9% |
| [Kimi K2](https://benchgap.net/model/kimi-k2.md) | 57.2% | 12.7% |
| [Kimi K2.5](https://benchgap.net/model/kimi-k2-5.md) | 69.2% | 23.5% |
| [Qwen3.5-27B](https://benchgap.net/model/qwen3-5-27b.md) | 65.6% | 22.9% |
| [Qwen3.5-35B-A3B](https://benchgap.net/model/qwen3-5-35b-a3b.md) | 63.4% | 19.3% |
| [Qwen3.6-27B](https://benchgap.net/model/qwen3-6-27b.md) | 66.0% | 21.4% |
| [Qwen 3.6 Max (preview)](https://benchgap.net/model/qwen3-6-max-preview.md) | 73.9% | 28.4% |
| [Qwen3.6 Plus](https://benchgap.net/model/qwen3-6-plus.md) | 71.6% | 27.0% |
| [Qwen3.7 Max](https://benchgap.net/model/qwen3-7-max.md) | 73.6% | 29.5% |