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

R-language slice of AA Omniscience SWE, testing factual knowledge of R syntax, packages, tooling, and data-science engineering practice.

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

Top models

#ModelScoreOverall rank
1Kimi K3 (Max)64#30 (Kimi K3)
2Claude Opus 4.5 (Thinking)64#83 (Claude Opus 4.5)
3Claude Opus 4.5 (Non-reasoning)60#83 (Claude Opus 4.5)
4Kimi K3 (Low)60#30 (Kimi K3)
5Claude Sonnet 4.5 (Thinking)56#142 (Claude Sonnet 4.5)
6Gemini 3 Pro (Preview) (High)50#66 (Gemini 3 Pro (Preview))
7Kimi K2.7 Code44#89
8Gemini 2.5 Pro42#152
9O342#124
10GPT-5.1 (High)42#135 (GPT-5.1)
11Inkling (xHigh)42#126 (Inkling)
12Grok 440#181
13Kimi K2.5 (Thinking)40#144 (Kimi K2.5)
14MiMo-V2.5-Pro (Non-reasoning)40#158 (MiMo-V2.5-Pro)
15Claude Sonnet 4.5 (Non-reasoning)38.78#142 (Claude Sonnet 4.5)

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