MedMT-Bench - Multi-Instruction Response: leaderboard
Metric: Accuracy (%) on the 46 multi-instruction-with-interference dialogues of MedMT-Bench's long multi-turn medical dialogues (health consultation, treatment recommendation and rehabilitation scenarios, text and image-text), where the final-turn reply is checked against fine-grained test points, judged by human annotators; higher is better. Source: arxiv.org. Saturation forecast: Around May 2027. 7 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | GPT-5 (High) | 71.74 | #91 (GPT-5) |
| 2 | GPT-4.1 | 63.04 | #240 |
| 3 | Claude Sonnet 4 | 56.52 | #194 |
| 4 | Gemini 2.5 Pro (Preview 06-05) | 54.35 | #101 |
| 5 | O3 (2025-04-16) | 50 | #117 |
| 6 | Claude Opus 4 | 50 | #155 |
| 7 | GPT-4o (2024-11-20) | 47.83 | #369 |
No result here: #3 Claude Opus 5.5, #5 GPT-6 Astra, #8 Claude Fable 5.1.
Interactive version: theaggregate.ai/benchmark?slug=medmt-bench-multi-instruction-response · How It Works · Data refreshed daily, snapshot 2026-10-11.