RABBITS MedMCQA G2B — leaderboard
Metric: Accuracy (%). Source: huggingface.co. 26 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | GPT-3.5 Turbo | 97.7 |
| 2 | Gemini 1.5 Flash | 94.83 |
| 3 | GPT-4 | 88.79 |
| 4 | GPT-4o | 86.49 |
| 5 | Gemini 1.5 Pro | 82.47 |
| 6 | Claude 3 Opus | 79.89 |
| 7 | Qwen 2 72B | 71.55 |
| 8 | Llama 3 70B | 66.67 |
| 9 | Mixtral-8x22B-v0.1 | 61.78 |
| 10 | Phi-3-medium-4k-instruct | 60.34 |
| 11 | Yi 1.5 34B | 59.77 |
| 12 | Mixtral 8x7B (v0.1) | 55.46 |
| 13 | Qwen 2 7B | 55.17 |
| 14 | Llama 3 8B | 52.87 |
| 15 | c4ai-command-r-plus | 49.14 |
Interactive version: theaggregate.ai/benchmark?slug=rabbits-medmcqa-g2b · How the rankings work · Data refreshed daily, snapshot 2026-07-22.