SAKE - Five-Shot - Behavioral Patterns: leaderboard

Evaluates software architectural knowledge through multiple-choice questions on the paper's 2,114 scored test items, with temperature zero and short answer limits. The paper reports model display labels without exact endpoint snapshots; those labels are retained. Each task series keeps its prompting condition. The five-shot examples are held out from both scored populations; task results share the parent suite. This series reports SAKE - Five-Shot - Behavioral Patterns using Accuracy (%).

Metric: Accuracy (%). Source: arxiv.org. Saturation forecast: Estimated already saturated. 11 models tracked.

Top models

#ModelScoreOverall rank
1Claude Sonnet 4.695.3#94
2Claude Opus 4.695.3#67
3GPT-5.494.6#83
4Qwen 3 235B A22B94.2#323
5Grok 4.2094.2#179
6Grok 4.1 Fast93.4#227
7DeepSeek V3.293.1#210
8Gemini 3.1 Flash Lite93.1#200
9Mistral Small 493.1#522
10Claude Haiku 4.592.7#287
11GPT-5.4 Nano90.9#359

No result here: #3 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.

Interactive version: theaggregate.ai/benchmark?slug=sake-five-shot-behavioral-patterns · How It Works · Data refreshed daily, snapshot 2026-11-05.