ThReadMed-QA - Turn 2: leaderboard
Metric: Mean GPT-4o judge rubric score (0 = wrong, 50 = partially correct, 100 = correct against the verified physician answer) on ThReadMed-QA's stratified test split of 238 r/AskDocs conversations (948 follow-up QA pairs), the model answering each patient turn with its own earlier answers in context; zero-shot, temperature 0 (GPT-5 at 1), on the second follow-up turn (238 turns); higher is better. Source: arxiv.org. Saturation forecast: Around February 2027. 5 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | GPT-5 | 59 | #91 |
| 2 | GPT-4o | 50.2 | #333 |
| 3 | Claude Haiku 4.5 | 47.3 | #271 |
| 4 | Gemini 2.5 Flash | 42.6 | #237 |
| 5 | Llama 3.3 70B Instruct | 40.1 | #520 |
No result here: #3 Claude Opus 5.5, #5 GPT-6 Astra, #8 Claude Fable 5.1.
Interactive version: theaggregate.ai/benchmark?slug=threadmed-qa-turn-2 · How It Works · Data refreshed daily, snapshot 2026-10-11.