BrainBench (EEG) - CodeAct - Overall: leaderboard

BrainBench (arXiv 2608.04156v2, Table 1): LLMs analyse real EEG recordings from 17 datasets (172 tasks) through the free-form CodeAct Python execution loop in isolated containers and write reports checked by numerical, categorical, semantic and artifact validators. Overall score across four subsets, 0-100; higher is better. Optional reasoning modes disabled.

Metric: Difficulty-weighted EEG analysis score (0-100). Source: arxiv.org. Saturation forecast: Around February 2027. 13 models tracked.

Top models

#ModelScoreOverall rank
1Claude Opus 576.25#16
2GPT-5.6 Sol (Non-reasoning)69.79#22 (GPT-5.6 Sol)
3Qwen 3.7 Max (Non-reasoning)65.72#85 (Qwen 3.7 Max)
4GLM-5 (Non-reasoning)64.33#149 (GLM-5)
5GPT-5.6 Terra (Non-reasoning)61.97#40 (GPT-5.6 Terra)
6Qwen 3.7 Plus (Non-reasoning)61.55#98 (Qwen 3.7 Plus)
7DeepSeek V4 Flash (Non-reasoning)61.02#155 (DeepSeek V4 Flash)
8MiniMax-M2.558.85#316
9Kimi K2.5 (Non-reasoning)58.06#152 (Kimi K2.5)
10Qwen 3.5 122B A10B (Non-reasoning)52.32#184 (Qwen 3.5 122B A10B)
11GPT-5.6 Luna (Non-reasoning)48.64#79 (GPT-5.6 Luna)
12Qwen 3.5 35B A3B (Non-reasoning)44.61#268 (Qwen 3.5 35B A3B)

No result here: #3 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.

Interactive version: theaggregate.ai/benchmark?slug=brainbench-eeg-codeact-overall · How It Works · Data refreshed daily, snapshot 2026-11-05.