benchgap
Calibration

AA-MMMU-Pro → CharXiv

CharXiv is estimated from AA-MMMU-Pro with a offset logistic curve fitted on 25 models measured on both: y = 0.7034 + (0.8604 − 0.7034) / (1 + exp(−63.77·(x − 0.7360))), R² = 0.49, cross-validated error 7.5 pp. It is used for 59 estimates.

Estimated modelAA-MMMU-ProCharXivSource
Apodex 1.179.2%85.6%estimated ± 7.5 pp, low confidence
Apodex 1.1 Mini79.2%85.6%estimated ± 7.5 pp, low confidence
Claude 3 Haiku30.8%70.3%estimated ± 7.5 pp, low confidence
Claude 4.1 Opus Thinking67.9%70.7%estimated ± 7.5 pp, low confidence
Claude 4 Sonnet62.4%70.4%estimated ± 7.5 pp, low confidence
Claude Opus 4.5 Thinking74.0%79.2%estimated ± 7.5 pp, low confidence
Claude Opus 4.6 (Adaptive)75.4%82.3%estimated ± 7.5 pp, low confidence
Claude Opus 4.776.4%83.8%estimated ± 7.5 pp, low confidence
Claude Opus 584.7%86.0%estimated ± 7.5 pp, low confidence
Claude Opus 5.587.7%86.0%estimated ± 7.5 pp, low confidence
DeepSeek V4.1 Flash77.0%84.4%estimated ± 7.5 pp, low confidence
Gemini 1.5 Pro55.0%70.3%estimated ± 7.5 pp, low confidence
Gemini 2.5 Flash65.5%70.4%estimated ± 7.5 pp, low confidence
Gemini 2.5 Pro74.9%81.3%estimated ± 7.5 pp, low confidence
Gemini 3.5 Flash-Lite79.0%85.6%estimated ± 7.5 pp, low confidence
Gemini 3.6 Flash83.2%86.0%estimated ± 7.5 pp, low confidence
Gemini 3 Flash78.6%85.4%estimated ± 7.5 pp, low confidence
Gemma 3 27B48.0%70.3%estimated ± 7.5 pp, low confidence
Gemma 4 E2B44.6%70.3%estimated ± 7.5 pp, low confidence
Gemma 4 E4B51.4%70.3%estimated ± 7.5 pp, low confidence
GLM-5V-Turbo72.8%76.2%estimated ± 7.5 pp, low confidence
GPT-4.161.2%70.4%estimated ± 7.5 pp, low confidence
GPT-4.1 mini58.7%70.3%estimated ± 7.5 pp, low confidence
GPT-4.1 nano40.1%70.3%estimated ± 7.5 pp, low confidence
GPT-4o mini41.5%70.3%estimated ± 7.5 pp, low confidence
GPT-5.175.5%82.4%estimated ± 7.5 pp, low confidence
GPT-5.1-Codex72.5%75.5%estimated ± 7.5 pp, low confidence
GPT-5.1-Codex-Max72.5%75.5%estimated ± 7.5 pp, low confidence
GPT-5.2-Codex76.3%83.7%estimated ± 7.5 pp, low confidence
GPT-5.3 Codex78.5%85.4%estimated ± 7.5 pp, low confidence
GPT-5 (high)74.2%79.7%estimated ± 7.5 pp, low confidence
GPT-5 (medium)74.3%79.9%estimated ± 7.5 pp, low confidence
GPT-6.1 Sol86.0%86.0%estimated ± 7.5 pp, low confidence
GPT-6 Luna79.7%85.7%estimated ± 7.5 pp, low confidence
GPT-6 Sol82.9%86.0%estimated ± 7.5 pp, low confidence
Grok 468.8%71.0%estimated ± 7.5 pp, low confidence
Grok 4.1 Fast48.4%70.3%estimated ± 7.5 pp, low confidence
Grok 4.1 Fast (Reasoning)63.3%70.4%estimated ± 7.5 pp, low confidence
Grok 4.580.4%85.8%estimated ± 7.5 pp, low confidence
Grok 4 Fast (Reasoning)61.8%70.4%estimated ± 7.5 pp, low confidence
LFM2.5-VL-1.6B-Extract26.5%70.3%estimated ± 7.5 pp, low confidence
Ling 3.0 Flash VL79.0%85.6%estimated ± 7.5 pp, low confidence
Llama 4 Maverick62.1%70.4%estimated ± 7.5 pp, low confidence
Llama 4 Scout52.9%70.3%estimated ± 7.5 pp, low confidence
MiMo-V2.6-Flash73.1%76.9%estimated ± 7.5 pp, low confidence
MiMo-V2-Omni69.9%71.7%estimated ± 7.5 pp, low confidence
Mistral Large 355.7%70.3%estimated ± 7.5 pp, low confidence
Mistral Large 476.4%83.8%estimated ± 7.5 pp, low confidence
Mistral Medium 353.0%70.3%estimated ± 7.5 pp, low confidence
Mistral Medium 3.5 128B64.9%70.4%estimated ± 7.5 pp, low confidence
Mistral Small 456.8%70.3%estimated ± 7.5 pp, low confidence
Mistral Small 4 (Reasoning)56.8%70.3%estimated ± 7.5 pp, low confidence
Nova Pro44.3%70.3%estimated ± 7.5 pp, low confidence
o370.1%71.9%estimated ± 7.5 pp, low confidence
Phi-4 Multimodal Instruct14.5%70.3%estimated ± 7.5 pp, low confidence
Qwen3.5 397B (Reasoning)52.7%70.3%estimated ± 7.5 pp, low confidence
Qwen3.8 Max Preview82.8%86.0%estimated ± 7.5 pp, low confidence
Qwen3-Omni-30B-A3B-Instruct55.5%70.3%estimated ± 7.5 pp, low confidence
Qwen3-Omni-30B-A3B-Thinking60.2%70.3%estimated ± 7.5 pp, low confidence