OpenAI MentalHealthBench - User Profile - Clinician: leaderboard

User-profile split of OpenAI's MentalHealthBench (launch post and paper, 2026-09-23): the 70 conversations with a clinician user. 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 10.

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

Top models

#ModelScoreOverall rank
1GPT-6 Astra65.15#5
2GPT-6 Sol58.18#17
3GPT-6 Luna56.22#62
4Grok 4.756.08#26
5GPT-5.6 Sol (August 2026)55.7
6Muse Spark 1.353.4#31
7Claude Opus 5.552.54#3
8GPT-5.6 Luna (August 2026)49.45
9Claude Fable 5.147.76#10
10GPT-5 (Thinking)47.7#108 (GPT-5)
11Gemini 2.5 Pro47.41#161
12Gemini 3.8 Flash46.62#30
13Claude Sonnet 546.26#67
14Gemini 2.5 Flash45.1#255
15Gemini 3.1 Pro (Preview)45.09#66

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

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