BrainBench (EEG) - CodeAct - Sleep Assessment: leaderboard

BrainBench (arXiv 2608.04156v2, Table 1) score on the Sleep Assessment subset built on clinical sleep recordings, 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 573.53#16
2GPT-5.6 Sol (Non-reasoning)69.24#22 (GPT-5.6 Sol)
3Qwen 3.7 Max (Non-reasoning)67.8#85 (Qwen 3.7 Max)
4GLM-5 (Non-reasoning)64.65#149 (GLM-5)
5MiniMax-M2.563.43#316
6GPT-5.6 Terra (Non-reasoning)62.35#40 (GPT-5.6 Terra)
7Kimi K2.5 (Non-reasoning)62.28#152 (Kimi K2.5)
8Qwen 3.7 Plus (Non-reasoning)62.06#98 (Qwen 3.7 Plus)
9DeepSeek V4 Flash (Non-reasoning)61.01#155 (DeepSeek V4 Flash)
10Qwen 3.5 122B A10B (Non-reasoning)57.18#184 (Qwen 3.5 122B A10B)
11Qwen 3.5 35B A3B (Non-reasoning)50.18#268 (Qwen 3.5 35B A3B)
12GPT-5.6 Luna (Non-reasoning)41.63#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-sleep-assessment · How It Works · Data refreshed daily, snapshot 2026-11-05.