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

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

Metric: Accuracy (%). Source: artificialanalysis.ai. Saturation forecast: Around September 2028. 294 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 3 Pro (Preview) (High)55#66 (Gemini 3 Pro (Preview))
2Claude Opus 4.5 (Thinking)53#83 (Claude Opus 4.5)
3Kimi K3 (Max)52#30 (Kimi K3)
4Kimi K3 (Low)48#30 (Kimi K3)
5Claude Opus 4.5 (Non-reasoning)45#83 (Claude Opus 4.5)
6Kimi K2.7 Code43#89
7GPT-5 Codex (High)42#127 (GPT-5 Codex)
8DeepSeek V4 Pro (Reasoning, Max Effort)39.39#102 (DeepSeek V4 Pro)
9Grok 438#181
10Hy337#93
11GPT-5 (Low)37#98 (GPT-5)
12GPT-5 (High)36#98 (GPT-5)
13DeepSeek V4 Pro (Non-reasoning)36#102 (DeepSeek V4 Pro)
14Kimi K2.5 (Thinking)35#144 (Kimi K2.5)
15Kimi K2.634#104

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