OAKS-BABI (RAG): leaderboard

Metric: Interval-level accuracy (%) on OAKS-BABI (1,224 questions over bAbI-style synthetic stories whose facts change across 2K-token chunks), all questions: 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 March 2027. 13 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 2.5 Pro62.2#145
2Gemini 2.5 Flash56.6#237
3Gemini 3 Pro51.3#77
4Qwen 3 235B A22B 2507 Instruct44.7#291
5Qwen 3 Next 80B A3B Instruct43.5#352
6Gemma 3 27B (IT)38.6#509
7Qwen 3 30B A3B 2507 Instruct37.8#464
8Qwen 3 8B (Non-reasoning)35.1#667 (Qwen 3 8B)
9GPT-OSS-120B33.7#330
10Qwen 2.5 7B Instruct32.4#846
11Qwen 3 4B 2507 Instruct29.3#745
12Gemma 3 4B (IT)25.2#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 · How It Works · Data refreshed daily, snapshot 2026-10-11.