CFE-Bench (Multimodal): leaderboard

Metric: Question accuracy (%): share of the 144 multimodal CFE-Bench problems (university STEM problems with diagrams, plots or schematics, kept only when the image is needed) for which every annotated answer variable is correct; answers extracted and verified per annotated target variable by a GPT-5-mini judge (gpt-5-mini-2025-08-07) against expert-annotated values; chain-of-thought prompting, thinking capped at 16,000 tokens; higher is better. Source: arxiv.org. Saturation forecast: Around January 2027. 20 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 3.1 Pro (Preview)48.61#54
2Gemini 3 Pro (Preview)48.61#64
3Gemini 3 Flash (Preview)48.61#78
4Qwen 3.5 397B A17B45.14#141
5Qwen 3.5 Plus44.44#123
6GPT-5.243.75#105
7Claude Opus 4.636.81#60
8Claude Opus 4.530.56#79
9Grok 429.17#169
10Grok 4.1 Fast (Reasoning)26.39#208 (Grok 4.1 Fast)
11Claude Sonnet 4.518.75#138
12Qwen 3 VL 32B Instruct10.42#276
13Llama 4 Maverick9.72#451
14GLM-4.6V7.64#309
15Gemma 3 27B (IT)2.78#509

No result here: #3 Claude Opus 5.5, #5 GPT-6 Astra, #8 Claude Fable 5.1.

Interactive version: theaggregate.ai/benchmark?slug=cfe-bench-multimodal · How It Works · Data refreshed daily, snapshot 2026-10-11.