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

Kotlin-language slice of AA Omniscience SWE, testing factual knowledge of Kotlin syntax, libraries, tooling, and engineering practice.

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

Top models

#ModelScoreOverall rank
1Kimi K3 (Max)68#30 (Kimi K3)
2Gemini 3 Pro (Preview) (High)66#66 (Gemini 3 Pro (Preview))
3Kimi K3 (Low)64#30 (Kimi K3)
4Claude Opus 4.5 (Thinking)58#83 (Claude Opus 4.5)
5Claude Opus 4.5 (Non-reasoning)56#83 (Claude Opus 4.5)
6Kimi K2.7 Code54#89
7O348#124
8Inkling (xHigh)48#126 (Inkling)
9Kimi K2 (Thinking)46#243 (Kimi K2)
10Kimi K2.5 (Thinking)46#144 (Kimi K2.5)
11GPT-5 Codex (High)46#127 (GPT-5 Codex)
12MiMo-V2.5-Pro (Non-reasoning)46#158 (MiMo-V2.5-Pro)
13Claude Sonnet 4.5 (Thinking)44#142 (Claude Sonnet 4.5)
14Inkling Small44#138
15GPT-5 (High)44#98 (GPT-5)

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-kotlin · How It Works · Data refreshed daily, snapshot 2026-10-20.