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

Artificial Analysis's AA-Omniscience Index on the Software Engineering questions about Julia: the share of correct answers minus the share of incorrect ones, bounded -100 to 100, so abstaining beats guessing wrong. Higher is better; small question sets per language make scores coarse and often negative. Not the accuracy on the frozen AA Omniscience SWE language boards.

Metric: Omniscience Index. Source: artificialanalysis.ai. Saturation forecast: Around March 2027. 117 models tracked.

Top models

#ModelScoreOverall rank
1GPT-6 Astra (High)100#6 (GPT-6 Astra)
2GPT-6.1 Sol (Max)89.47#7 (GPT-6.1 Sol)
3GPT-6 Astra (xHigh)89.47#6 (GPT-6 Astra)
4GPT-6 Astra (Low)84.21#6 (GPT-6 Astra)
5GPT-6.1 Sol (Medium)84.21#7 (GPT-6.1 Sol)
6GPT-6 Astra (Max)78.95#6 (GPT-6 Astra)
7GPT-6 Astra (Medium)78.95#6 (GPT-6 Astra)
8GPT-6.1 Sol (xHigh)78.95#7 (GPT-6.1 Sol)
9GPT-6.1 Sol (High)78.95#7 (GPT-6.1 Sol)
10Gemini 4 Argon (High)68.42#9 (Gemini 4 Argon)
11Claude Haiku 5.5 (Low)68.42#43 (Claude Haiku 5.5)
12Gemini 4 Carbon (High)68.42#1 (Gemini 4 Carbon)
13Kimi K3.1 Pro63.16#17
14Claude Haiku 5.5 (xHigh)63.16#43 (Claude Haiku 5.5)
15GPT-6.1 Terra (Max)63.16#15 (GPT-6.1 Terra)

No result here: #3 Claude Opus 5.5, #10 Claude Fable 5.1.

Interactive version: theaggregate.ai/benchmark?slug=aa-omniscience-index-software-engineering-swe-julia · How It Works · Data refreshed daily, snapshot 2026-11-05.