OpenAI MentalHealthBench - Acuity - Non-acute: leaderboard

Acuity split of OpenAI's MentalHealthBench (launch post and paper, 2026-09-23): the 650 non-acute conversations (everyday concerns with an emotional component). Mean task-clipped rubric score, 0-100, higher is better: GPT-5.6 Sol grades each reply against expert-written signed rubrics, and models run at their API default reasoning effort. GPT-5 Thinking and Gemini 2.5 Flash come from the paper's Figure 7.

Metric: Task-clipped rubric score (%). Source: openai.com. Saturation forecast: Around 2030. 17 models tracked.

Top models

#ModelScoreOverall rank
1GPT-6 Astra56.64#5
2GPT-6 Sol52.26#17
3Claude Opus 5.551.42#3
4GPT-6 Luna47.88#62
5GPT-5.6 Sol (August 2026)45.21
6Claude Fable 5.144.19#10
7Claude Sonnet 543.9#67
8Muse Spark 1.343.21#31
9GPT-5.6 Luna (August 2026)43.01
10Claude Haiku 4.541.4#291
11Grok 4.740.16#26
12GPT-5 (Thinking)39.7#108 (GPT-5)
13GPT-4o (Mar 2025)36.46#339
14Gemini 2.5 Flash34.1#255
15Gemini 3.8 Flash32.28#30

No result here: #6 GPT-6.1 Sol, #9 Gemini 4 Argon.

Interactive version: theaggregate.ai/benchmark?slug=openai-mentalhealthbench-acuity-non-acute · How It Works · Data refreshed daily, snapshot 2026-11-07.