# Vals MMLU-Pro → AA-GPQA Diamond Calibration · https://benchgap.net/calibration/1554 · data retrieved 2026-10-29 AA-GPQA Diamond is estimated from Vals MMLU-Pro with a linear curve fitted on 46 models measured on both: y = 1.0782·x + -0.0451, R² = 0.41, cross-validated error 4.5 pp. It is used for 0 estimates. ## Fitted on | Model | Vals MMLU-Pro | AA-GPQA Diamond | |---|---|---| | [Claude Fable 5](https://benchgap.net/model/claude-fable.md) | 91.5% | 92.6% | | [Claude Fable 5.1](https://benchgap.net/model/claude-fable-5-1.md) | 92.4% | 93.7% | | [Claude Opus 4.7](https://benchgap.net/model/claude-opus-4-7.md) | 89.9% | 88.5% | | [Claude Opus 4.8](https://benchgap.net/model/claude-opus-4-8.md) | 89.6% | 92.0% | | [Claude Opus 5](https://benchgap.net/model/claude-opus-5.md) | 91.6% | 93.2% | | [Claude Sonnet 4.6](https://benchgap.net/model/claude-sonnet-4-6.md) | 87.3% | 79.9% | | [Claude Sonnet 5](https://benchgap.net/model/claude-sonnet-5.md) | 87.5% | 91.1% | | [DeepSeek V4 Flash 0731](https://benchgap.net/model/deepseek-v4-flash-0731.md) | 86.2% | 90.8% | | [DeepSeek V4 Pro 0813](https://benchgap.net/model/deepseek-v4-pro-0813.md) | 87.0% | 92.8% | | [Gemini 3.1 Pro](https://benchgap.net/model/gemini-3-1-pro.md) | 91.0% | 94.1% | | [Gemini 3.5 Flash](https://benchgap.net/model/gemini-3-5-flash.md) | 89.5% | 92.2% | | [Gemini 3.5 Flash-Lite](https://benchgap.net/model/gemini-3-5-flash-lite.md) | 85.8% | 83.8% | | [Gemini 3.6 Flash](https://benchgap.net/model/gemini-3-6-flash.md) | 89.3% | 92.8% | | [Gemini 3.7 Flash](https://benchgap.net/model/gemini-3-7-flash.md) | 90.1% | 94.5% | | [Gemini 3.8 Flash](https://benchgap.net/model/gemini-3-8-flash.md) | 90.2% | 95.3% | | [Gemini 3 Flash](https://benchgap.net/model/gemini-3-flash.md) | 88.6% | 81.2% | | [GLM-4.6](https://benchgap.net/model/glm-4-6.md) | 82.2% | 63.2% | | [GLM-4.7](https://benchgap.net/model/glm-4-7.md) | 82.7% | 85.9% | | [GLM-5.1](https://benchgap.net/model/glm-5-1.md) | 86.9% | 86.8% | | [GLM-5.2](https://benchgap.net/model/glm-5-2.md) | 86.7% | 89.5% | | [GLM-5.3](https://benchgap.net/model/glm-5-3.md) | 86.8% | 91.7% | | [GPT-5.4 mini](https://benchgap.net/model/gpt-5-4-mini.md) | 84.6% | 87.5% | | [GPT-5.4 nano](https://benchgap.net/model/gpt-5-4-nano.md) | 77.2% | 81.7% | | [GPT-5.5](https://benchgap.net/model/gpt-5-5.md) | 88.1% | 93.5% | | [GPT-5.6 Luna](https://benchgap.net/model/gpt-5-6-luna.md) | 86.0% | 91.1% | | [GPT-5.6 Sol](https://benchgap.net/model/gpt-5-6-sol.md) | 89.1% | 94.1% | | [GPT-5.6 Terra](https://benchgap.net/model/gpt-5-6-terra.md) | 86.7% | 92.5% | | [Grok 4.3](https://benchgap.net/model/grok-4-3.md) | 85.8% | 90.1% | | [Grok 4.5](https://benchgap.net/model/grok-4-5.md) | 89.2% | 93.1% | | [Grok 4.6](https://benchgap.net/model/grok-4-6.md) | 89.4% | 94.9% | | [Inkling](https://benchgap.net/model/inkling.md) | 86.3% | 87.2% | | [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% | 91.1% | | [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% | 85.5% | | [MiMo-V2.5-Pro](https://benchgap.net/model/mimo-v2-5-pro.md) | 84.6% | 86.6% | | [MiniMax M2.7](https://benchgap.net/model/minimax-m2-7.md) | 80.4% | 87.4% | | [MiniMax M3](https://benchgap.net/model/minimax-m3.md) | 84.2% | 92.9% | | [Mistral Medium 3.5 128B](https://benchgap.net/model/mistral-medium-3-5-128b.md) | 75.3% | 74.8% | | [Muse Spark](https://benchgap.net/model/muse-spark.md) | 87.3% | 88.4% | | [Muse Spark 1.1](https://benchgap.net/model/muse-spark-1-1.md) | 88.7% | 89.8% | | [Muse Spark 1.2](https://benchgap.net/model/muse-spark-1-2.md) | 88.3% | 90.4% | | [Nemotron 3 Ultra](https://benchgap.net/model/nemotron-3-ultra.md) | 85.8% | 86.7% | | [Qwen3.6 Plus](https://benchgap.net/model/qwen3-6-plus.md) | 87.7% | 88.2% | | [Qwen3.7 Max](https://benchgap.net/model/qwen3-7-max.md) | 89.3% | 92.3% | | [Qwen3.8-27B](https://benchgap.net/model/qwen3-8-27b.md) | 84.3% | 90.5% |