TurkBench - Named Entity Recognition: leaderboard
Metric: Accuracy (%). Source: huggingface.co. 38 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Qwen 3.5 397B A17B | 71.29 |
| 2 | Qwen 3.5 122B A10B | 70.24 |
| 3 | GPT-OSS-120B | 70.01 |
| 4 | GLM-4.6 | 69.19 |
| 5 | Step 3.5 Flash | 68.84 |
| 6 | Qwen 3.5 35B A3B | 68.3 |
| 7 | GLM-5 FP8 | 66.98 |
| 8 | Gemma 3 27B (IT) | 65.99 |
| 9 | MiniMax-M2.5 | 63.93 |
| 10 | Gemma 3 12B (IT) | 63.52 |
| 11 | MiniMax-M2 | 63.18 |
| 12 | DeepSeek V3.2 Exp | 62.05 |
| 13 | MiMo-V2-Flash | 61.1 |
| 14 | Qwen 3 32B | 60.4 |
| 15 | GLM-4.7 Flash | 60.28 |
Interactive version: theaggregate.ai/benchmark?slug=turkbench-named-entity-recognition · How It Works · Data refreshed daily, snapshot 2026-09-19.