CureMed-Bench - Language Consistency: leaderboard
Metric: Language consistency (%; share of final answers written in the language of the question, pooled over 1,431 held-out open-ended medical questions in 13 languages; zero-shot). Source: arxiv.org. Saturation forecast: Estimated already saturated. 49 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Claude 3 Haiku | 93.43 |
| 2 | Llama 3.3 70B Instruct | 79.66 |
| 3 | Llama 3.1 70B | 75.68 |
| 4 | GPT-5 Mini | 75.33 |
| 5 | Qwen 2.5 72B Instruct | 70.73 |
| 6 | GPT-5 Nano | 69.11 |
| 7 | Qwen 3 32B | 55.83 |
| 8 | Gemini 2.5 Flash | 48.01 |
| 9 | Ministral 8B | 46.93 |
| 10 | Qwen 3 14B | 43.71 |
| 11 | Qwen 2.5 32B Instruct | 41.51 |
| 12 | Llama 3.1 8B Instruct | 36.56 |
| 13 | Qwen 2.5 14B Instruct | 35.57 |
| 14 | Qwen 3 8B | 33.96 |
| 15 | Llama 3 8B | 31.58 |
Interactive version: theaggregate.ai/benchmark?slug=curemed-bench-language-consistency · How It Works · Data refreshed daily, snapshot 2026-09-26.