OAKS-BABI (RAG) - Sparse Changes: leaderboard

Metric: Interval-level accuracy (%) on OAKS-BABI (1,224 questions over bAbI-style synthetic stories whose facts change across 2K-token chunks), questions whose answer changes sparsely: the same questions are asked after every chunk and each answer is scored against the answer valid at that point, averaged over intervals and questions; RAG setting (top 30 earlier chunks retrieved with Qwen3-Embedding-0.6B); higher is better. Source: arxiv.org. Saturation forecast: Around February 2027. 13 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 2.5 Pro67.2#145
2Gemini 2.5 Flash60.3#237
3Gemini 3 Pro51#77
4Qwen 3 Next 80B A3B Instruct47.4#352
5Qwen 3 235B A22B 2507 Instruct46.4#291
6Gemma 3 27B (IT)42.8#509
7Qwen 3 30B A3B 2507 Instruct40.1#464
8Qwen 3 8B (Non-reasoning)39.9#667 (Qwen 3 8B)
9Qwen 3 4B 2507 Instruct37.2#745
10GPT-OSS-120B35.9#330
11Qwen 2.5 7B Instruct35.5#846
12Gemma 3 4B (IT)24.9#971
13GPT-OSS-20B22.2#499

No result here: #3 Claude Opus 5.5, #5 GPT-6 Astra, #8 Claude Fable 5.1.

Interactive version: theaggregate.ai/benchmark?slug=oaks-babi-rag-sparse-changes · How It Works · Data refreshed daily, snapshot 2026-10-11.