OpenAI MentalHealthBench - Acuity - Emergent: leaderboard

Acuity split of OpenAI's MentalHealthBench (launch post and paper, 2026-09-23): the 344 emergent conversations (signs of a mental health emergency or immediate safety risk). 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 2028. 17 models tracked.

Top models

#ModelScoreOverall rank
1GPT-6 Astra58.26#5
2GPT-6 Sol55.14#22
3Muse Spark 1.354.35#45
4Claude Opus 5.553.91#4
5GPT-6 Luna52.61#90
6Claude Fable 5.147.77#13
7GPT-5.6 Sol (August 2026)46.08
8GPT-5 (Thinking)44.2#164 (GPT-5)
9GPT-5.6 Luna (August 2026)43.67
10Claude Sonnet 543.1#108
11Grok 4.741.55#41
12Claude Haiku 4.541.09#593
13Gemini 3.8 Flash37.86#37
14Gemini 3.1 Pro (Preview)31.78#93
15Gemini 2.5 Flash29.6#464

No result here: #9 GPT-6.1 Sol, #10 Gemini 4 Argon.

Interactive version: theaggregate.ai/benchmark?slug=openai-mentalhealthbench-acuity-emergent · How It Works · Data refreshed daily, snapshot 2026-11-08.