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

Dart-language slice of AA Omniscience SWE, testing factual knowledge of Dart syntax, libraries, tooling, and engineering practice.

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

Top models

#ModelScoreOverall rank
1Kimi K3 (Low)66#30 (Kimi K3)
2Kimi K3 (Max)64#30 (Kimi K3)
3Claude Opus 4.5 (Thinking)62#83 (Claude Opus 4.5)
4Gemini 3 Pro (Preview) (High)60#66 (Gemini 3 Pro (Preview))
5Claude Opus 4.5 (Non-reasoning)54#83 (Claude Opus 4.5)
6Claude Sonnet 4.5 (Non-reasoning)46#142 (Claude Sonnet 4.5)
7GPT-5 (Low)44#98 (GPT-5)
8O342#124
9Kimi K2.5 (Thinking)42#144 (Kimi K2.5)
10GPT-5 (Medium)42#98 (GPT-5)
11GLM-5 (Thinking)42#141 (GLM-5)
12GPT-5 Codex (High)42#127 (GPT-5 Codex)
13DeepSeek V4 Pro (Reasoning, Max Effort)42#102 (DeepSeek V4 Pro)
14Grok 440#181
15Claude Sonnet 4.5 (Thinking)40#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-dart · How It Works · Data refreshed daily, snapshot 2026-10-20.