benchgap
Calibration

AA-MMMU-Pro → MathVision

MathVision is estimated from AA-MMMU-Pro with a offset logistic curve fitted on 13 models measured on both: y = 0.8148 + (0.8967 − 0.8148) / (1 + exp(−152.58·(x − 0.7475))), R² = 0.52, cross-validated error 4.9 pp. It is used for 59 estimates.

Estimated modelAA-MMMU-ProMathVisionSource
Apodex 1.179.2%89.7%estimated ± 4.9 pp, high confidence
Apodex 1.1 Mini79.2%89.7%estimated ± 4.9 pp, high confidence
Claude 3 Haiku30.8%81.5%estimated ± 4.9 pp, medium confidence
Claude 4.1 Opus Thinking67.9%81.5%estimated ± 4.9 pp, high confidence
Claude 4 Sonnet62.4%81.5%estimated ± 4.9 pp, high confidence
Claude Opus 4.5 Thinking74.0%83.5%estimated ± 4.9 pp, high confidence
Claude Opus 4.6 (Adaptive)75.4%87.5%estimated ± 4.9 pp, high confidence
Claude Opus 4.776.4%89.1%estimated ± 4.9 pp, high confidence
Claude Opus 584.7%89.7%estimated ± 4.9 pp, medium confidence
Claude Opus 5.587.7%89.7%estimated ± 4.9 pp, medium confidence
DeepSeek V4.1 Flash77.0%89.4%estimated ± 4.9 pp, high confidence
Gemini 1.5 Pro55.0%81.5%estimated ± 4.9 pp, high confidence
Gemini 2.5 Flash65.5%81.5%estimated ± 4.9 pp, high confidence
Gemini 2.5 Pro74.9%86.0%estimated ± 4.9 pp, high confidence
Gemini 3.5 Flash-Lite79.0%89.7%estimated ± 4.9 pp, high confidence
Gemini 3.6 Flash83.2%89.7%estimated ± 4.9 pp, medium confidence
Gemini 3 Flash78.6%89.6%estimated ± 4.9 pp, high confidence
Gemma 3 27B48.0%81.5%estimated ± 4.9 pp, medium confidence
Gemma 4 E2B44.6%81.5%estimated ± 4.9 pp, medium confidence
Gemma 4 E4B51.4%81.5%estimated ± 4.9 pp, medium confidence
GLM-5V-Turbo72.8%81.9%estimated ± 4.9 pp, high confidence
GPT-4.161.2%81.5%estimated ± 4.9 pp, high confidence
GPT-4.1 mini58.7%81.5%estimated ± 4.9 pp, high confidence
GPT-4.1 nano40.1%81.5%estimated ± 4.9 pp, medium confidence
GPT-4o mini41.5%81.5%estimated ± 4.9 pp, medium confidence
GPT-5.175.5%87.7%estimated ± 4.9 pp, high confidence
GPT-5.1-Codex72.5%81.7%estimated ± 4.9 pp, high confidence
GPT-5.1-Codex-Max72.5%81.7%estimated ± 4.9 pp, high confidence
GPT-5.2-Codex76.3%89.0%estimated ± 4.9 pp, high confidence
GPT-5.3 Codex78.5%89.6%estimated ± 4.9 pp, high confidence
GPT-5 (high)74.2%84.0%estimated ± 4.9 pp, high confidence
GPT-5 (medium)74.3%84.2%estimated ± 4.9 pp, high confidence
GPT-6.1 Sol86.0%89.7%estimated ± 4.9 pp, medium confidence
GPT-6 Luna79.7%89.7%estimated ± 4.9 pp, high confidence
GPT-6 Sol82.9%89.7%estimated ± 4.9 pp, medium confidence
Grok 468.8%81.5%estimated ± 4.9 pp, high confidence
Grok 4.1 Fast48.4%81.5%estimated ± 4.9 pp, medium confidence
Grok 4.1 Fast (Reasoning)63.3%81.5%estimated ± 4.9 pp, high confidence
Grok 4.580.4%89.7%estimated ± 4.9 pp, high confidence
Grok 4 Fast (Reasoning)61.8%81.5%estimated ± 4.9 pp, high confidence
LFM2.5-VL-1.6B-Extract26.5%81.5%estimated ± 4.9 pp, medium confidence
Ling 3.0 Flash VL79.0%89.7%estimated ± 4.9 pp, high confidence
Llama 4 Maverick62.1%81.5%estimated ± 4.9 pp, high confidence
Llama 4 Scout52.9%81.5%estimated ± 4.9 pp, high confidence
MiMo-V2.6-Flash73.1%82.1%estimated ± 4.9 pp, high confidence
MiMo-V2-Omni69.9%81.5%estimated ± 4.9 pp, high confidence
Mistral Large 355.7%81.5%estimated ± 4.9 pp, high confidence
Mistral Large 476.4%89.1%estimated ± 4.9 pp, high confidence
Mistral Medium 353.0%81.5%estimated ± 4.9 pp, high confidence
Mistral Medium 3.5 128B64.9%81.5%estimated ± 4.9 pp, high confidence
Mistral Small 456.8%81.5%estimated ± 4.9 pp, high confidence
Mistral Small 4 (Reasoning)56.8%81.5%estimated ± 4.9 pp, high confidence
Nova Pro44.3%81.5%estimated ± 4.9 pp, medium confidence
o370.1%81.5%estimated ± 4.9 pp, high confidence
Phi-4 Multimodal Instruct14.5%81.5%estimated ± 4.9 pp, medium confidence
Qwen3.5 397B (Reasoning)52.7%81.5%estimated ± 4.9 pp, high confidence
Qwen3.8 Max Preview82.8%89.7%estimated ± 4.9 pp, medium confidence
Qwen3-Omni-30B-A3B-Instruct55.5%81.5%estimated ± 4.9 pp, high confidence
Qwen3-Omni-30B-A3B-Thinking60.2%81.5%estimated ± 4.9 pp, high confidence