OAKS-Novel (RAG): leaderboard
Metric: Interval-level accuracy (%) on OAKS-Novel (870 questions over novels whose answers evolve 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 January 2027. 13 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | Gemini 2.5 Pro | 75.8 | #145 |
| 2 | Gemini 3 Pro | 74 | #77 |
| 3 | Qwen 3 235B A22B 2507 Instruct | 66 | #291 |
| 4 | Qwen 3 Next 80B A3B Instruct | 65.3 | #352 |
| 5 | Gemini 2.5 Flash | 64.5 | #237 |
| 6 | Qwen 3 30B A3B 2507 Instruct | 61 | #464 |
| 7 | Gemma 3 27B (IT) | 56 | #509 |
| 8 | Qwen 3 4B 2507 Instruct | 55.8 | #745 |
| 9 | GPT-OSS-120B | 54.6 | #330 |
| 10 | Qwen 3 8B (Non-reasoning) | 47.7 | #667 (Qwen 3 8B) |
| 11 | GPT-OSS-20B | 44.2 | #499 |
| 12 | Qwen 2.5 7B Instruct | 40.2 | #846 |
| 13 | Gemma 3 4B (IT) | 35.2 | #971 |
No result here: #3 Claude Opus 5.5, #5 GPT-6 Astra, #8 Claude Fable 5.1.
Interactive version: theaggregate.ai/benchmark?slug=oaks-novel-rag · How It Works · Data refreshed daily, snapshot 2026-10-11.