OAKS-Novel - Frequent Changes: leaderboard
Metric: Interval-level accuracy (%) on OAKS-Novel (870 questions over novels whose answers evolve across 2K-token chunks), questions whose answer changes frequently: 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
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | Gemini 3 Pro | 73 | #77 |
| 2 | Gemini 2.5 Pro | 72.9 | #145 |
| 3 | Gemini 2.5 Flash | 60 | #237 |
| 4 | Qwen 3 Next 80B A3B Instruct | 59.9 | #352 |
| 5 | Qwen 3 235B A22B 2507 Instruct | 59.4 | #291 |
| 6 | Qwen 3 30B A3B 2507 Instruct | 57.1 | #464 |
| 7 | Gemma 3 27B (IT) | 56.6 | #509 |
| 8 | GPT-OSS-120B | 50.6 | #330 |
| 9 | Qwen 3 4B 2507 Instruct | 47.9 | #745 |
| 10 | Qwen 3 8B (Non-reasoning) | 47.6 | #667 (Qwen 3 8B) |
| 11 | GPT-OSS-20B | 39.9 | #499 |
| 12 | Gemma 3 4B (IT) | 34.1 | #971 |
| 13 | Qwen 2.5 7B Instruct | 30.6 | #846 |
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-frequent-changes · How It Works · Data refreshed daily, snapshot 2026-10-11.