ArmBench-LLM - NER: leaderboard
Metric: Accuracy (%). Source: huggingface.co. 27 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | GPT-5.2 Pro | 78.35 |
| 2 | Grok 4 Fast | 75.92 |
| 3 | Mistral Large 3 | 75.62 |
| 4 | Claude 3.7 Sonnet | 74.59 |
| 5 | Claude Sonnet 4 | 74.28 |
| 6 | Gemini 3 Flash (Preview) | 73.61 |
| 7 | Gemini 2.5 Flash | 73.6 |
| 8 | Grok 4.1 Fast | 73.52 |
| 9 | Qwen 3.5 27B | 72.46 |
| 10 | Gemma 4 31B (IT) | 71.69 |
| 11 | Gemma 3 12B (IT) | 70.2 |
| 12 | Grok 4.20 | 69.61 |
| 13 | Ministral 3 14B | 69.44 |
| 14 | Gemma 3 27B (IT) | 68.97 |
| 15 | GPT-5.4 Mini | 68.89 |
Interactive version: theaggregate.ai/benchmark?slug=armbench-llm-ner · How It Works · Data refreshed daily, snapshot 2026-09-19.