Swallow - Post-trained English - IFBench: leaderboard
Metric: Instruction-Level Strict Accuracy (%). Source: swallow-llm.github.io. 68 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Gemma 4 31B (IT) (Thinking) | 76.5 |
| 2 | gemma-4-26B-A4B-it (Thinking) | 72.7 |
| 3 | GPT-5 (Medium) | 72.1 |
| 4 | O3 (2025-04-16) (Medium) | 71.2 |
| 5 | GPT-5 Mini (Medium) | 70.3 |
| 6 | O3 Mini (Medium) | 67.7 |
| 7 | GPT-5.4 (Medium) | 65.1 |
| 8 | Qwen 3.5 122B A10B (Thinking) | 64.5 |
| 9 | Qwen 3.5 27B (Thinking) | 64.5 |
| 10 | GPT-OSS-120B (Medium) | 61 |
| 11 | GPT-OSS-Swallow-120B-RL-v0.1 (Thinking) | 60.5 |
| 12 | Qwen 3.5 35B A3B (Thinking) | 59.9 |
| 13 | Qwen 3 Next 80B A3B (Thinking) | 59 |
| 14 | GPT-OSS-20B (Medium) | 55.8 |
| 15 | GPT-OSS-Swallow-20B-RL-v0.1 (Thinking) | 51.7 |
Interactive version: theaggregate.ai/benchmark?slug=swallow-post-trained-english-ifbench · How It Works · Data refreshed daily, snapshot 2026-09-19.