MedCTA (No Tools): leaderboard
Metric: Goal accuracy (%; final answer judged against the clinician-validated answer set, exact or rubric-based semantic match) on the 107 MedCTA clinical tasks answered zero-shot by the vision-language backbone alone, with the task's images and reports but no tool calls; higher is better. Source: arxiv.org. Saturation forecast: Around 2031. 10 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | GPT-5.4 | 60.74 |
| 2 | Claude Haiku 4.5 | 47.65 |
| 3 | MedGemma-4B-IT | 45.79 |
| 4 | Qwen 3 VL 8B Instruct | 40.18 |
| 5 | Gemini 3 Flash | 30.84 |
Interactive version: theaggregate.ai/benchmark?slug=medcta-no-tools · How It Works · Data refreshed daily, snapshot 2026-09-29.