Swallow - Post-trained English - LiveCodeBench: leaderboard
Metric: Pass@1 (%). Source: swallow-llm.github.io. 68 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Gemma 4 31B (IT) (Thinking) | 81 |
| 2 | gemma-4-26B-A4B-it (Thinking) | 75.5 |
| 3 | Qwen 3 235B A22B 2507 (Thinking) | 73.1 |
| 4 | GPT-5.4 (Medium) | 72.3 |
| 5 | GPT-OSS-Swallow-120B-RL-v0.1 (Thinking) | 71.1 |
| 6 | Qwen 3 Next 80B A3B (Thinking) | 68.3 |
| 7 | GPT-5 Mini (Medium) | 67.8 |
| 8 | GPT-5 (Medium) | 67.6 |
| 9 | GPT-OSS-Swallow-20B-RL-v0.1 (Thinking) | 66.5 |
| 10 | O3 (2025-04-16) (Medium) | 64.9 |
| 11 | GPT-OSS-120B (Medium) | 64.7 |
| 12 | Qwen 3.5 122B A10B (Thinking) | 63.8 |
| 13 | Qwen 3.5 27B (Thinking) | 63.5 |
| 14 | GPT-OSS-20B (Medium) | 59.9 |
| 15 | Qwen 3.5 35B A3B (Thinking) | 58.4 |
Interactive version: theaggregate.ai/benchmark?slug=swallow-post-trained-english-livecodebench · How It Works · Data refreshed daily, snapshot 2026-09-19.