BrainBench (EEG) - CodeAct - Neurocognitive Assessment: leaderboard

BrainBench (arXiv 2608.04156v2, Table 1) score on the Neurocognitive Assessment subset built on cognitive-experiment EEG, 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 November 2027. 13 models tracked.

Top models

#ModelScoreOverall rank
1Claude Opus 570.03#16
2Qwen 3.7 Max (Non-reasoning)65.13#85 (Qwen 3.7 Max)
3GLM-5 (Non-reasoning)65.12#149 (GLM-5)
4Qwen 3.7 Plus (Non-reasoning)64.17#98 (Qwen 3.7 Plus)
5GPT-5.6 Sol (Non-reasoning)63.36#22 (GPT-5.6 Sol)
6GPT-5.6 Terra (Non-reasoning)61.65#40 (GPT-5.6 Terra)
7DeepSeek V4 Flash (Non-reasoning)60.38#155 (DeepSeek V4 Flash)
8MiniMax-M2.557.99#316
9Qwen 3.5 122B A10B (Non-reasoning)56.16#184 (Qwen 3.5 122B A10B)
10Kimi K2.5 (Non-reasoning)55.33#152 (Kimi K2.5)
11Qwen 3.5 35B A3B (Non-reasoning)51.04#268 (Qwen 3.5 35B A3B)
12GPT-5.6 Luna (Non-reasoning)48.58#79 (GPT-5.6 Luna)

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-neurocognitive-assessment · How It Works · Data refreshed daily, snapshot 2026-11-05.