CFE-Bench (Text) - Variable Accuracy: leaderboard

Metric: Variable accuracy (%): mean over the 305 text-only CFE-Bench problems (university STEM homework and exam problems with instructor-verified solutions) of the share of annotated answer variables answered correctly; 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. 26 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 3.1 Pro (Preview)70.66#54
2Gemini 3 Flash (Preview)66.02#78
3Gemini 3 Pro (Preview)65.29#64
4Claude Opus 4.658.95#60
5GPT-5.257.99#105
6Qwen 3.5 Plus54.43#123
7Qwen 3.5 397B A17B54.12#141
8Grok 453.24#169
9Kimi K2.551.32#139
10DeepSeek V3.2 (Thinking)50.07#198 (DeepSeek V3.2)
11Grok 4.1 Fast (Reasoning)49.58#208 (Grok 4.1 Fast)
12Claude Opus 4.549.03#79
13DeepSeek V3.2 (Non-reasoning)48.08#198 (DeepSeek V3.2)
14GLM-547.24#137
15Kimi K2 (Thinking)46.28#236 (Kimi K2)

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-text-variable-accuracy · How It Works · Data refreshed daily, snapshot 2026-10-11.