AA-Omniscience Index - Software Engineering (SWE) - Java: leaderboard
Artificial Analysis's AA-Omniscience Index on the Software Engineering questions about Java: 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 September 2027. 117 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | GPT-6.1 Sol (xHigh) | 76.36 | #7 (GPT-6.1 Sol) |
| 2 | GPT-6.1 Sol (Max) | 72.73 | #7 (GPT-6.1 Sol) |
| 3 | GPT-6 Astra (Low) | 72.73 | #6 (GPT-6 Astra) |
| 4 | GPT-6.1 Sol (High) | 72.73 | #7 (GPT-6.1 Sol) |
| 5 | Gemini 4 Carbon (High) | 70.91 | #1 (Gemini 4 Carbon) |
| 6 | GPT-6 Astra (xHigh) | 69.09 | #6 (GPT-6 Astra) |
| 7 | GPT-6 Astra (High) | 69.09 | #6 (GPT-6 Astra) |
| 8 | GPT-6 Astra (Max) | 67.27 | #6 (GPT-6 Astra) |
| 9 | GPT-6 Astra (Medium) | 67.27 | #6 (GPT-6 Astra) |
| 10 | GPT-6.1 Sol (Medium) | 63.64 | #7 (GPT-6.1 Sol) |
| 11 | GPT-6.1 Sol (Low) | 60 | #7 (GPT-6.1 Sol) |
| 12 | Gemini 4 Argon (High) | 58.18 | #9 (Gemini 4 Argon) |
| 13 | GPT-6.1 Terra (xHigh) | 54.55 | #15 (GPT-6.1 Terra) |
| 14 | GPT-6.1 Terra (Low) | 50.91 | #15 (GPT-6.1 Terra) |
| 15 | GPT-6.1 Terra (High) | 49.09 | #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-java · How It Works · Data refreshed daily, snapshot 2026-11-05.