Swallow - Post-trained English - HellaSwag: leaderboard
Metric: Accuracy (%). Source: swallow-llm.github.io. 68 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | GPT-5 (Medium) | 95.9 |
| 2 | GPT-5.4 (Medium) | 95.8 |
| 3 | Qwen 3.5 27B (Thinking) | 95.7 |
| 4 | O3 (2025-04-16) (Medium) | 95.6 |
| 5 | Qwen 3.5 122B A10B (Thinking) | 95.1 |
| 6 | Gemma 4 31B (IT) (Thinking) | 94.1 |
| 7 | GPT-4.1 | 94 |
| 8 | Qwen 3 235B A22B 2507 Instruct | 94 |
| 9 | Qwen 3.5 35B A3B (Thinking) | 94 |
| 10 | GPT-5 Mini (Medium) | 93.4 |
| 11 | GPT-4o (2024-08-06) | 93 |
| 12 | Qwen 3 Next 80B A3B Instruct | 92.9 |
| 13 | Qwen 3 235B A22B 2507 (Thinking) | 92.7 |
| 14 | Qwen 3 Next 80B A3B (Thinking) | 92.3 |
| 15 | Llama 3.3 70B Instruct | 91.1 |
Interactive version: theaggregate.ai/benchmark?slug=swallow-post-trained-english-hellaswag · How It Works · Data refreshed daily, snapshot 2026-09-19.