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

Rust-language slice of AA Omniscience SWE, testing factual knowledge of Rust syntax, crates, tooling, ownership, and engineering practice.

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

Top models

#ModelScoreOverall rank
1Kimi K3 (Max)82#30 (Kimi K3)
2Qwen3.8 2.4T A95B82#55
3Claude Opus 4.5 (Thinking)80#83 (Claude Opus 4.5)
4Gemini 3 Pro (Preview) (High)80#66 (Gemini 3 Pro (Preview))
5Kimi K3 (Low)80#30 (Kimi K3)
6Nex N2 Pro79.17#107
7Kimi K2.5 (Thinking)78#144 (Kimi K2.5)
8Inkling Small78#138
9Claude Opus 4.5 (Non-reasoning)78#83 (Claude Opus 4.5)
10DeepSeek V4 Flash (Reasoning, Max Effort)77.08#137 (DeepSeek V4 Flash)
11DeepSeek V4 Pro (Reasoning, Max Effort)75#102 (DeepSeek V4 Pro)
12Kimi K2.7 Code74#89
13Hy374#93
14Kimi K2.6 (Non-reasoning)74#104 (Kimi K2.6)
15Motif 374#190

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