AA Omniscience - Software Engineering (SWE) - Python — leaderboard
Metric: Accuracy (%). Source: artificialanalysis.ai. 449 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | GPT-5.5 (xHigh) | 90.5 |
| 2 | GPT-5.4 (xHigh) | 90 |
| 3 | GPT-5.5 (Medium) | 89 |
| 4 | GPT-5.6 Sol (Max) | 88.5 |
| 5 | GPT-5.5 (Low) | 88 |
| 6 | GPT-5.3 Codex (xHigh) | 87.5 |
| 7 | GPT-5.5 (High) | 87 |
| 8 | GPT-5.6 Sol (High) | 85.5 |
| 9 | GPT-5.6 Sol (xHigh) | 85 |
| 10 | GPT-5.4 (Low) | 85 |
| 11 | GPT-5.6 Sol (Medium) | 85 |
| 12 | GPT-5.6 Sol (Low) | 85 |
| 13 | GPT-5.6 Terra (Max) | 81 |
| 14 | GPT-5.6 Terra (xHigh) | 78.5 |
| 15 | GPT-5.6 Terra (High) | 78 |
Interactive version: theaggregate.ai/benchmark?slug=aa-omniscience-software-engineering-swe-python · How the rankings work · Data refreshed daily, snapshot 2026-07-22.