# Vals GPQA Diamond → GPQA Diamond

Calibration · https://benchgap.net/calibration/1547 · data retrieved 2026-10-29

GPQA Diamond is estimated from Vals GPQA Diamond with a Michaelis–Menten + offset curve fitted on 23 models measured on both: y = 0.0000 + 2.0000·x / (1.08507 + x), R² = 0.67, cross-validated error 1.7 pp. It is used for 14 estimates.

| Estimated model | Vals GPQA Diamond | GPQA Diamond | Source |
|---|---|---|---|
| [MiniMax M3](https://benchgap.net/model/minimax-m3.md) | 92.7% | 92.1% | estimated ± 1.7 pp, high confidence |
| [Claude Opus 4.7](https://benchgap.net/model/claude-opus-4-7.md) | 90.2% | 90.8% | estimated ± 1.7 pp, high confidence |
| [Claude Sonnet 5](https://benchgap.net/model/claude-sonnet-5.md) | 88.9% | 90.1% | estimated ± 1.7 pp, high confidence |
| [GLM-5.3](https://benchgap.net/model/glm-5-3.md) | 88.1% | 89.6% | estimated ± 1.7 pp, high confidence |
| [Gemini 3 Flash](https://benchgap.net/model/gemini-3-flash.md) | 87.9% | 89.5% | estimated ± 1.7 pp, high confidence |
| [GLM-5.3-Flash](https://benchgap.net/model/glm-5-3-flash.md) | 86.4% | 88.7% | estimated ± 1.7 pp, high confidence |
| [Gemini 3.5 Flash-Lite](https://benchgap.net/model/gemini-3-5-flash-lite.md) | 83.8% | 87.2% | estimated ± 1.7 pp, high confidence |
| [Qwen3.5 Flash](https://benchgap.net/model/qwen3-5-flash.md) | 82.8% | 86.6% | estimated ± 1.7 pp, medium confidence |
| [MiMo-V2.5-Pro](https://benchgap.net/model/mimo-v2-5-pro.md) | 82.6% | 86.4% | estimated ± 1.7 pp, medium confidence |
| [MiMo-V2.5](https://benchgap.net/model/mimo-v2-5.md) | 81.6% | 85.8% | estimated ± 1.7 pp, medium confidence |
| [Gemini 3.1 Flash-Lite](https://benchgap.net/model/gemini-3-1-flash-lite.md) | 81.1% | 85.5% | estimated ± 1.7 pp, medium confidence |
| [GLM-4.6](https://benchgap.net/model/glm-4-6.md) | 74.5% | 81.4% | estimated ± 1.7 pp, medium confidence |
| [Claude Haiku 4.5](https://benchgap.net/model/claude-haiku-4-5.md) | 72.2% | 79.9% | estimated ± 1.7 pp, medium confidence |
| [GLM-4.5](https://benchgap.net/model/glm-4-5.md) | 72.2% | 79.9% | estimated ± 1.7 pp, medium confidence |

## Fitted on

| Model | Vals GPQA Diamond | GPQA Diamond |
|---|---|---|
| [Claude Opus 4.8](https://benchgap.net/model/claude-opus-4-8.md) | 92.4% | 93.6% |
| [DeepSeek V4 Flash 0731](https://benchgap.net/model/deepseek-v4-flash-0731.md) | 89.9% | 88.1% |
| [DeepSeek V4 Pro 0813](https://benchgap.net/model/deepseek-v4-pro-0813.md) | 92.4% | 90.1% |
| [Gemini 3.1 Pro](https://benchgap.net/model/gemini-3-1-pro.md) | 95.5% | 94.3% |
| [Gemini 3.5 Flash](https://benchgap.net/model/gemini-3-5-flash.md) | 92.7% | 92.7% |
| [GLM-5.1](https://benchgap.net/model/glm-5-1.md) | 84.5% | 86.2% |
| [GLM-5.2](https://benchgap.net/model/glm-5-2.md) | 85.6% | 91.2% |
| [GPT-5.5](https://benchgap.net/model/gpt-5-5.md) | 93.2% | 93.6% |
| [GPT-5.6 Luna](https://benchgap.net/model/gpt-5-6-luna.md) | 91.7% | 92.3% |
| [GPT-5.6 Sol](https://benchgap.net/model/gpt-5-6-sol.md) | 95.2% | 94.6% |
| [GPT-5.6 Terra](https://benchgap.net/model/gpt-5-6-terra.md) | 90.9% | 92.9% |
| [Grok 4.20](https://benchgap.net/model/grok-4-20-beta.md) | 88.6% | 88.5% |
| [Inkling](https://benchgap.net/model/inkling.md) | 87.1% | 87.9% |
| [Inkling-Small](https://benchgap.net/model/inkling-small.md) | 83.6% | 89.5% |
| [Kimi K2.6](https://benchgap.net/model/kimi-2-6.md) | 89.1% | 90.5% |
| [Kimi K3](https://benchgap.net/model/kimi-k3.md) | 92.9% | 93.5% |
| [Ling 3.0 Flash](https://benchgap.net/model/ling-3-0-flash.md) | 84.8% | 85.0% |
| [MiniMax M2.7](https://benchgap.net/model/minimax-m2-7.md) | 86.6% | 87.0% |
| [Muse Spark](https://benchgap.net/model/muse-spark.md) | 89.6% | 89.5% |
| [Nemotron 3 Ultra](https://benchgap.net/model/nemotron-3-ultra.md) | 86.1% | 87.0% |
| [Qwen3.7 Max](https://benchgap.net/model/qwen3-7-max.md) | 90.2% | 92.4% |
| [Qwen3.8-27B](https://benchgap.net/model/qwen3-8-27b.md) | 88.9% | 89.2% |
| [Qwen3.8 Max](https://benchgap.net/model/qwen3-8-max.md) | 93.7% | 92.6% |