AA Omniscience - Software Engineering (SWE) - Swift: leaderboard

Swift-language slice of AA Omniscience SWE, testing factual knowledge of Swift syntax, frameworks, tooling, and Apple-platform engineering practice.

Metric: Accuracy (%). Source: artificialanalysis.ai. Saturation forecast: Around January 2027. 294 models tracked.

Top models

#ModelScoreOverall rank
1Kimi K3 (Max)80#30 (Kimi K3)
2Hy376#93
3Claude Opus 4.5 (Non-reasoning)76#83 (Claude Opus 4.5)
4Kimi K3 (Low)76#30 (Kimi K3)
5Gemini 3 Pro (Preview) (High)72#66 (Gemini 3 Pro (Preview))
6Kimi K2.668#104
7Claude Opus 4.5 (Thinking)68#83 (Claude Opus 4.5)
8Grok 464#181
9MiniMax-M2.764#258
10Kimi K2.5 (Thinking)64#144 (Kimi K2.5)
11GPT-5 (High)64#98 (GPT-5)
12GPT-5.1 (High)64#135 (GPT-5.1)
13GPT-5 Codex (High)64#127 (GPT-5 Codex)
14GPT-OSS-120B (Low)60#341 (GPT-OSS-120B)
15Inkling (xHigh)60#126 (Inkling)

No result here: #3 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.

Interactive version: theaggregate.ai/benchmark?slug=aa-omniscience-software-engineering-swe-swift · How It Works · Data refreshed daily, snapshot 2026-10-20.