ArmBench-LLM - MCQA: leaderboard
Metric: Accuracy (%). Source: huggingface.co. 27 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | GPT-5.2 Pro | 98.67 |
| 2 | Claude Sonnet 4 | 97.33 |
| 3 | Claude 3.7 Sonnet | 96.67 |
| 4 | Grok 4 Fast | 96 |
| 5 | GPT-5.4 Mini | 94.67 |
| 6 | Gemini 2.5 Pro | 94 |
| 7 | Qwen 3.5 27B | 91.33 |
| 8 | Gemini 3.1 Pro (Preview) | 90.67 |
| 9 | Gemini 3 Pro (Preview) | 90 |
| 10 | Gemini 3 Flash (Preview) | 88.67 |
| 11 | Gemma 4 31B (IT) | 87.33 |
| 12 | GLM-4.7 Flash | 87.33 |
| 13 | GLM-5 | 87.33 |
| 14 | Gemini 2.5 Flash | 86 |
| 15 | Grok 4.1 Fast | 86 |
Interactive version: theaggregate.ai/benchmark?slug=armbench-llm-mcqa · How It Works · Data refreshed daily, snapshot 2026-09-19.