AA Omniscience - Software Engineering (SWE) - Swift: leaderboard
Metric: Accuracy (%). Source: artificialanalysis.ai. 294 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Kimi K3 (Max) | 80 |
| 2 | Hy3 | 76 |
| 3 | Claude Opus 4.5 (Non-reasoning) | 76 |
| 4 | Kimi K3 (Low) | 76 |
| 5 | Gemini 3 Pro (Preview) (High) | 72 |
| 6 | Kimi K2.6 | 68 |
| 7 | Claude Opus 4.5 (Thinking) | 68 |
| 8 | DeepSeek V4 Pro (0813) (Reasoning, Max Effort) | 68 |
| 9 | Grok 4 | 64 |
| 10 | GPT-5 (High) | 64 |
| 11 | MiniMax-M2.7 | 64 |
| 12 | GPT-5.1 (High) | 64 |
| 13 | Kimi K2.5 (Thinking) | 64 |
| 14 | GPT-5 Codex (High) | 64 |
| 15 | GPT-OSS-120B (Low) | 60 |
Interactive version: theaggregate.ai/benchmark?slug=aa-omniscience-software-engineering-swe-swift · How It Works · Data refreshed daily, snapshot 2026-09-05.