SAHARA - Cross-Lingual NLI: leaderboard
Metric: Accuracy (%). Source: huggingface.co. 47 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Gemini 3 Pro (Preview) | 77.58 |
| 2 | Gemini 2.5 Pro | 75.48 |
| 3 | Gemini 2.5 Flash | 73.47 |
| 4 | Claude Sonnet 4 | 72.09 |
| 5 | GPT-5.6 Luna | 71.69 |
| 6 | GPT-4.1 | 69.6 |
| 7 | Claude Sonnet 4 (20250514) | 69 |
| 8 | GPT-5.1 | 68.39 |
| 9 | Qwen 3.6 27B | 66.79 |
| 10 | GPT-5 | 65.98 |
| 11 | Qwen 3.6 35B A3B | 65.79 |
| 12 | Gemma 3 27B (IT) | 65.58 |
| 13 | Qwen 3.5 27B | 64.48 |
| 14 | Gemma 3 12B (IT) | 61.09 |
| 15 | Llama 4 Scout Instruct | 59.88 |
Interactive version: theaggregate.ai/benchmark?slug=sahara-cross-lingual-nli · How It Works · Data refreshed daily, snapshot 2026-09-19.