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

Julia-language slice of AA Omniscience SWE, testing factual knowledge of Julia syntax, libraries, tooling, and technical-computing practice.

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

Top models

#ModelScoreOverall rank
1Claude Opus 4.5 (Thinking)68#83 (Claude Opus 4.5)
2Claude Opus 4.5 (Non-reasoning)56#83 (Claude Opus 4.5)
3Gemini 3 Pro (Preview) (High)56#66 (Gemini 3 Pro (Preview))
4Claude Sonnet 4.5 (Non-reasoning)52#142 (Claude Sonnet 4.5)
5Kimi K3 (Max)48#30 (Kimi K3)
6Kimi K2.7 Code48#89
7Motif 348#190
8Kimi K3 (Low)48#30 (Kimi K3)
9GPT-5 (High)44#98 (GPT-5)
10GPT-5 (Medium)40#98 (GPT-5)
11Gemini 2.5 Pro36#152
12Kimi K2.636#104
13Claude Sonnet 4.5 (Thinking)36#142 (Claude Sonnet 4.5)
14O336#124
15Qwen 3 235B A22B 2507 (Thinking)36#260 (Qwen 3 235B A22B 2507)

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