OAKS-BABI - 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; Base setting (all chunks seen so far concatenated, oldest truncated at the context limit); higher is better. Source: arxiv.org. Saturation forecast: Around January 2027. 13 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 3 Pro70.3#77
2Gemini 2.5 Pro64.6#145
3Gemini 2.5 Flash58.3#237
4Qwen 3 235B A22B 2507 Instruct48.4#291
5Qwen 3 Next 80B A3B Instruct44.7#352
6GPT-OSS-120B40.5#330
7Gemma 3 27B (IT)40.2#509
8Qwen 3 30B A3B 2507 Instruct38.5#464
9Qwen 3 8B (Non-reasoning)36.8#667 (Qwen 3 8B)
10Qwen 3 4B 2507 Instruct34.4#745
11Qwen 2.5 7B Instruct27.3#846
12Gemma 3 4B (IT)22.9#971
13GPT-OSS-20B21.9#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-sparse-changes · How It Works · Data refreshed daily, snapshot 2026-10-11.