BrainBench (EEG) - CodeAct - Foundational Analysis: leaderboard

BrainBench (arXiv 2608.04156v2, Table 1) score on the Foundational Analysis subset of core EEG processing and analysis tasks, with each model running through the free-form CodeAct Python execution loop in an isolated container and its report and artifacts checked by task validators. 0-100; higher is better. Optional reasoning modes disabled.

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

Top models

#ModelScoreOverall rank
1Claude Opus 584.97#16
2GPT-5.6 Sol (Non-reasoning)75.52#22 (GPT-5.6 Sol)
3GLM-5 (Non-reasoning)70.77#149 (GLM-5)
4Qwen 3.7 Max (Non-reasoning)69.54#85 (Qwen 3.7 Max)
5Qwen 3.7 Plus (Non-reasoning)68.33#98 (Qwen 3.7 Plus)
6DeepSeek V4 Flash (Non-reasoning)68.16#155 (DeepSeek V4 Flash)
7GPT-5.6 Terra (Non-reasoning)67.19#40 (GPT-5.6 Terra)
8Kimi K2.5 (Non-reasoning)65.85#152 (Kimi K2.5)
9MiniMax-M2.565.23#316
10GPT-5.6 Luna (Non-reasoning)58.58#79 (GPT-5.6 Luna)
11Qwen 3.5 122B A10B (Non-reasoning)48.85#184 (Qwen 3.5 122B A10B)
12Qwen 3.5 35B A3B (Non-reasoning)40.8#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-foundational-analysis · How It Works · Data refreshed daily, snapshot 2026-11-05.