PatientAgentBench - Conversational Quality: leaderboard
The conversational quality rubric of PatientAgentBench (2026): the mean 1 to 5 jury score for brevity, clarity, tone and question pacing over each whole conversation, across 1,200 simulated patient conversations. Higher is better.
Metric: Mean conversational quality rubric score (1-5); 1,200 synthetic patient conversations of up to 15 turns with a simulated patient, the model inside the benchmark's baseline ReAct agent harness with 15 healthcare sandbox tools; jury of Claude Opus 4.8 and GPT-5.5 judges scoring clinician-grounded rubrics on a 1 to 5 scale; higher is better. Source: arxiv.org. Saturation forecast: Estimated already saturated. 10 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | GPT-5.5 | 4.69 | #49 |
| 2 | GPT-5.4 | 4.56 | #123 |
| 3 | Gemini 3 Flash | 4.49 | #164 |
| 4 | Claude Sonnet 5 | 4.42 | #111 |
| 5 | Claude Opus 4.8 | 4.4 | #56 |
| 6 | Gemini 3.1 Pro (Preview) | 4.39 | #94 |
| 7 | Qwen 3 235B A22B | 3.79 | #623 |
| 8 | Claude Haiku 4.5 | 3.65 | #568 |
| 9 | GPT-OSS-120B | 3.62 | #700 |
| 10 | Qwen3-Next-80B | 3.16 | #626 |
No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.
Interactive version: theaggregate.ai/benchmark?slug=patientagentbench-conversational-quality · How It Works · Data refreshed daily, snapshot 2026-11-13.