# Vals MMLU-Pro → GPQA Diamond

Calibration · https://benchgap.net/calibration/1562 · data retrieved 2026-10-29

GPQA Diamond is estimated from Vals MMLU-Pro with a linear curve fitted on 23 models measured on both: y = 0.9065·x + 0.1177, R² = 0.59, cross-validated error 2.0 pp. It is used for 2 estimates.

| Estimated model | Vals MMLU-Pro | GPQA Diamond | Source |
|---|---|---|---|
| [Muse Spark 1.2](https://benchgap.net/model/muse-spark-1-2.md) | 88.3% | 91.8% | estimated ± 2.0 pp, high confidence |
| [Mistral Medium 3.5 128B](https://benchgap.net/model/mistral-medium-3-5-128b.md) | 75.3% | 80.0% | estimated ± 2.0 pp, medium confidence |

## Fitted on

| Model | Vals MMLU-Pro | GPQA Diamond |
|---|---|---|
| [Claude Opus 4.8](https://benchgap.net/model/claude-opus-4-8.md) | 89.6% | 93.6% |
| [DeepSeek V4 Flash 0731](https://benchgap.net/model/deepseek-v4-flash-0731.md) | 86.2% | 88.1% |
| [DeepSeek V4 Pro 0813](https://benchgap.net/model/deepseek-v4-pro-0813.md) | 87.0% | 90.1% |
| [Gemini 3.1 Pro](https://benchgap.net/model/gemini-3-1-pro.md) | 91.0% | 94.3% |
| [Gemini 3.5 Flash](https://benchgap.net/model/gemini-3-5-flash.md) | 89.5% | 92.7% |
| [GLM-5.1](https://benchgap.net/model/glm-5-1.md) | 86.9% | 86.2% |
| [GLM-5.2](https://benchgap.net/model/glm-5-2.md) | 86.7% | 91.2% |
| [GPT-5.5](https://benchgap.net/model/gpt-5-5.md) | 88.1% | 93.6% |
| [GPT-5.6 Luna](https://benchgap.net/model/gpt-5-6-luna.md) | 86.0% | 92.3% |
| [GPT-5.6 Sol](https://benchgap.net/model/gpt-5-6-sol.md) | 89.1% | 94.6% |
| [GPT-5.6 Terra](https://benchgap.net/model/gpt-5-6-terra.md) | 86.7% | 92.9% |
| [Grok 4.20](https://benchgap.net/model/grok-4-20-beta.md) | 86.3% | 88.5% |
| [Inkling](https://benchgap.net/model/inkling.md) | 86.3% | 87.9% |
| [Inkling-Small](https://benchgap.net/model/inkling-small.md) | 85.6% | 89.5% |
| [Kimi K2.6](https://benchgap.net/model/kimi-2-6.md) | 87.6% | 90.5% |
| [Kimi K3](https://benchgap.net/model/kimi-k3.md) | 88.0% | 93.5% |
| [Ling 3.0 Flash](https://benchgap.net/model/ling-3-0-flash.md) | 82.0% | 85.0% |
| [MiniMax M2.7](https://benchgap.net/model/minimax-m2-7.md) | 80.4% | 87.0% |
| [Muse Spark](https://benchgap.net/model/muse-spark.md) | 87.3% | 89.5% |
| [Nemotron 3 Ultra](https://benchgap.net/model/nemotron-3-ultra.md) | 85.8% | 87.0% |
| [Qwen3.7 Max](https://benchgap.net/model/qwen3-7-max.md) | 89.3% | 92.4% |
| [Qwen3.8-27B](https://benchgap.net/model/qwen3-8-27b.md) | 84.3% | 89.2% |
| [Qwen3.8 Max](https://benchgap.net/model/qwen3-8-max.md) | 88.6% | 92.6% |