# Vals MMLU-Pro → LABBench2

Calibration · https://benchgap.net/calibration/1566 · data retrieved 2026-10-29

LABBench2 is estimated from Vals MMLU-Pro with a Michaelis–Menten + offset curve fitted on 6 models measured on both: y = 0.0000 + 2.0000·x / (1.26627 + x), R² = 0.46, cross-validated error 1.8 pp. It is used for 37 estimates.

| Estimated model | Vals MMLU-Pro | LABBench2 | Source |
|---|---|---|---|
| [Gemini 3.1 Pro](https://benchgap.net/model/gemini-3-1-pro.md) | 91.0% | 83.6% | estimated ± 1.8 pp, low confidence |
| [Claude Opus 4.7](https://benchgap.net/model/claude-opus-4-7.md) | 89.9% | 83.0% | estimated ± 1.8 pp, low confidence |
| [Grok 4.6](https://benchgap.net/model/grok-4-6.md) | 89.4% | 82.8% | estimated ± 1.8 pp, low confidence |
| [Gemini 3.6 Flash](https://benchgap.net/model/gemini-3-6-flash.md) | 89.3% | 82.7% | estimated ± 1.8 pp, low confidence |
| [Qwen3.7 Max](https://benchgap.net/model/qwen3-7-max.md) | 89.3% | 82.7% | estimated ± 1.8 pp, low confidence |
| [Grok 4.5](https://benchgap.net/model/grok-4-5.md) | 89.2% | 82.7% | estimated ± 1.8 pp, low confidence |
| [Muse Spark 1.1](https://benchgap.net/model/muse-spark-1-1.md) | 88.7% | 82.4% | estimated ± 1.8 pp, low confidence |
| [Gemini 3 Flash](https://benchgap.net/model/gemini-3-flash.md) | 88.6% | 82.3% | estimated ± 1.8 pp, low confidence |
| [Qwen3.8 Max](https://benchgap.net/model/qwen3-8-max.md) | 88.6% | 82.3% | estimated ± 1.8 pp, low confidence |
| [Muse Spark 1.2](https://benchgap.net/model/muse-spark-1-2.md) | 88.3% | 82.2% | estimated ± 1.8 pp, low confidence |
| [Qwen3.6 Plus](https://benchgap.net/model/qwen3-6-plus.md) | 87.7% | 81.8% | estimated ± 1.8 pp, low confidence |
| [Kimi K2.6](https://benchgap.net/model/kimi-2-6.md) | 87.6% | 81.8% | estimated ± 1.8 pp, low confidence |
| [Claude Sonnet 4.6](https://benchgap.net/model/claude-sonnet-4-6.md) | 87.3% | 81.6% | estimated ± 1.8 pp, low confidence |
| [Muse Spark](https://benchgap.net/model/muse-spark.md) | 87.3% | 81.6% | estimated ± 1.8 pp, low confidence |
| [DeepSeek V4 Pro 0813](https://benchgap.net/model/deepseek-v4-pro-0813.md) | 87.0% | 81.5% | estimated ± 1.8 pp, low confidence |
| [GLM-5.1](https://benchgap.net/model/glm-5-1.md) | 86.9% | 81.4% | estimated ± 1.8 pp, low confidence |
| [GLM-5.3](https://benchgap.net/model/glm-5-3.md) | 86.8% | 81.3% | estimated ± 1.8 pp, low confidence |
| [GLM-5.2](https://benchgap.net/model/glm-5-2.md) | 86.7% | 81.3% | estimated ± 1.8 pp, low confidence |
| [Grok 4.20](https://benchgap.net/model/grok-4-20-beta.md) | 86.3% | 81.1% | estimated ± 1.8 pp, low confidence |
| [Inkling](https://benchgap.net/model/inkling.md) | 86.3% | 81.1% | estimated ± 1.8 pp, low confidence |
| [DeepSeek V4 Flash 0731](https://benchgap.net/model/deepseek-v4-flash-0731.md) | 86.2% | 81.0% | estimated ± 1.8 pp, low confidence |
| [Gemini 3.1 Flash-Lite](https://benchgap.net/model/gemini-3-1-flash-lite.md) | 86.2% | 81.0% | estimated ± 1.8 pp, low confidence |
| [GLM-5.3-Flash](https://benchgap.net/model/glm-5-3-flash.md) | 86.1% | 80.9% | estimated ± 1.8 pp, low confidence |
| [GPT-5.6 Luna](https://benchgap.net/model/gpt-5-6-luna.md) | 86.0% | 80.9% | estimated ± 1.8 pp, low confidence |
| [Gemini 3.5 Flash-Lite](https://benchgap.net/model/gemini-3-5-flash-lite.md) | 85.8% | 80.8% | estimated ± 1.8 pp, low confidence |
| [Grok 4.3](https://benchgap.net/model/grok-4-3.md) | 85.8% | 80.8% | estimated ± 1.8 pp, low confidence |
| [Nemotron 3 Ultra](https://benchgap.net/model/nemotron-3-ultra.md) | 85.8% | 80.8% | estimated ± 1.8 pp, low confidence |
| [Inkling-Small](https://benchgap.net/model/inkling-small.md) | 85.6% | 80.7% | estimated ± 1.8 pp, low confidence |
| [GPT-5.4 mini](https://benchgap.net/model/gpt-5-4-mini.md) | 84.6% | 80.1% | estimated ± 1.8 pp, low confidence |
| [MiMo-V2.5-Pro](https://benchgap.net/model/mimo-v2-5-pro.md) | 84.6% | 80.1% | estimated ± 1.8 pp, low confidence |
| [Qwen3.8-27B](https://benchgap.net/model/qwen3-8-27b.md) | 84.3% | 79.9% | estimated ± 1.8 pp, low confidence |
| [MiniMax M3](https://benchgap.net/model/minimax-m3.md) | 84.2% | 79.9% | estimated ± 1.8 pp, low confidence |
| [Qwen3.5 Flash](https://benchgap.net/model/qwen3-5-flash.md) | 84.1% | 79.8% | estimated ± 1.8 pp, low confidence |
| [MiMo-V2.5](https://benchgap.net/model/mimo-v2-5.md) | 82.9% | 79.1% | estimated ± 1.8 pp, low confidence |
| [GLM-4.7](https://benchgap.net/model/glm-4-7.md) | 82.7% | 79.0% | estimated ± 1.8 pp, low confidence |
| [GLM-4.6](https://benchgap.net/model/glm-4-6.md) | 82.2% | 78.7% | estimated ± 1.8 pp, low confidence |
| [Ling 3.0 Flash](https://benchgap.net/model/ling-3-0-flash.md) | 82.0% | 78.6% | estimated ± 1.8 pp, low confidence |

## Fitted on

| Model | Vals MMLU-Pro | LABBench2 |
|---|---|---|
| [Claude Opus 5](https://benchgap.net/model/claude-opus-5.md) | 91.6% | 84.2% |
| [Claude Sonnet 5](https://benchgap.net/model/claude-sonnet-5.md) | 87.5% | 80.1% |
| [Gemini 3.7 Flash](https://benchgap.net/model/gemini-3-7-flash.md) | 90.1% | 82.1% |
| [Gemini 3.8 Flash](https://benchgap.net/model/gemini-3-8-flash.md) | 90.2% | 86.2% |
| [GPT-5.6 Sol](https://benchgap.net/model/gpt-5-6-sol.md) | 89.1% | 82.1% |
| [GPT-5.6 Terra](https://benchgap.net/model/gpt-5-6-terra.md) | 86.7% | 81.2% |