KyrgyzLLM-Bench - KyrgyzMMLU: leaderboard
Metric: Accuracy (%, zero-shot). Source: huggingface.co. 26 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Claude Sonnet 4.5 | 66.78 |
| 2 | DeepSeek V3 | 64 |
| 3 | Mistral Large 3 | 61.44 |
| 4 | GPT-5.1 | 59.56 |
| 5 | Qwen 3 Max | 59.56 |
| 6 | Claude Haiku 4.5 (20251001) | 59.11 |
| 7 | GigaChat 2 Max | 57.33 |
| 8 | Mistral Medium 3.1 | 53.56 |
| 9 | GPT-5 Mini | 50.11 |
| 10 | Gemini 2.5 Flash | 50 |
| 11 | Grok 4.1 Fast (Non-reasoning) | 48.56 |
| 12 | Qwen 3 8B | 32.1 |
| 13 | Qwen 2.5 7B Instruct | 31.5 |
| 14 | Llama 3.1 8B Instruct | 31 |
| 15 | Gemma 3 4B (IT) | 30.3 |
Interactive version: theaggregate.ai/benchmark?slug=kyrgyzllm-bench-kyrgyzmmlu · How It Works · Data refreshed daily, snapshot 2026-09-19.