ArmBench-LLM - MMLU-Pro: leaderboard
Metric: Accuracy (%). Source: huggingface.co. 27 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Gemini 3 Flash (Preview) | 86.79 |
| 2 | GPT-5.2 Pro | 84.88 |
| 3 | Grok 4.1 Fast | 81.68 |
| 4 | Grok 4 Fast | 81.68 |
| 5 | Qwen 3.5 27B | 81.28 |
| 6 | Gemini 3 Pro (Preview) | 80.78 |
| 7 | Gemma 4 31B (IT) | 79.48 |
| 8 | Gemini 3.1 Pro (Preview) | 75.08 |
| 9 | Claude Sonnet 4 | 74.77 |
| 10 | Claude 3.7 Sonnet | 74.57 |
| 11 | Mistral Large 3 | 74.07 |
| 12 | GPT-5.4 Mini | 70.47 |
| 13 | GLM-5 | 69.47 |
| 14 | Qwen 3.5 35B A3B | 65.27 |
| 15 | Gemini 2.5 Flash | 64.16 |
Interactive version: theaggregate.ai/benchmark?slug=armbench-llm-mmlu-pro · How It Works · Data refreshed daily, snapshot 2026-09-19.