ThReadMed-QA - Turn 0: 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 opening patient question of each conversation (238 turns); higher is better. Source: arxiv.org. Saturation forecast: Around January 2027. 5 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | GPT-5 | 75.2 | #91 |
| 2 | Claude Haiku 4.5 | 72.3 | #271 |
| 3 | GPT-4o | 58.2 | #333 |
| 4 | Gemini 2.5 Flash | 51.3 | #237 |
| 5 | Llama 3.3 70B Instruct | 47.1 | #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-0 · How It Works · Data refreshed daily, snapshot 2026-10-11.