OpenAI MentalHealthBench - Acuity - High Acuity: leaderboard

Acuity split of OpenAI's MentalHealthBench (launch post and paper, 2026-09-23): the 221 high-acuity conversations (serious concerns or significant distress, not an immediate emergency). 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 2029. 17 models tracked.

Top models

#ModelScoreOverall rank
1GPT-6 Astra57.92#5
2GPT-6 Sol57#17
3Muse Spark 1.355.5#31
4GPT-5.6 Sol (August 2026)53.59
5GPT-6 Luna53.32#62
6Claude Opus 5.552.81#3
7GPT-5.6 Luna (August 2026)52.34
8Claude Fable 5.150.53#10
9GPT-5 (Thinking)50.3#108 (GPT-5)
10Claude Sonnet 548.66#67
11Grok 4.744.28#26
12Claude Haiku 4.543.71#291
13Gemini 3.8 Flash41.3#30
14Gemini 3.1 Pro (Preview)38.49#66
15Gemini 2.5 Flash37.7#255

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

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