AA Omniscience - Software Engineering (SWE) — leaderboard
Metric: Accuracy (%). Source: artificialanalysis.ai. 449 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | GPT-5.6 Sol (Max) | 84.5 |
| 2 | GPT-5.5 (xHigh) | 84.4 |
| 3 | GPT-5.5 (High) | 83.9 |
| 4 | GPT-5.6 Sol (xHigh) | 83.8 |
| 5 | GPT-5.3 Codex (xHigh) | 83.8 |
| 6 | GPT-5.5 (Medium) | 83.4 |
| 7 | GPT-5.6 Sol (High) | 82.9 |
| 8 | GPT-5.4 (xHigh) | 82.5 |
| 9 | GPT-5.5 (Low) | 82.2 |
| 10 | GPT-5.6 Sol (Low) | 81.7 |
| 11 | GPT-5.6 Sol (Medium) | 81.1 |
| 12 | GPT-5.4 (Low) | 79.4 |
| 13 | Claude Opus 4.6 (Adaptive Reasoning, Max Effort) | 73.5 |
| 14 | Claude Opus 4.8 (Adaptive Reasoning, Max Effort) | 73.3 |
| 15 | GPT-5.6 Terra (Max) | 72.1 |
Interactive version: theaggregate.ai/benchmark?slug=aa-omniscience-software-engineering-swe · How the rankings work · Data refreshed daily, snapshot 2026-07-22.