SABRE-Prior - Context: leaderboard
Metric: Strict All4 accuracy (%; a case counts only when all four yes/no probes on the base and edited image are right: an expected entity replaced by a contextually unexpected one; zero-shot, greedy decoding where supported, 8-16 output tokens for API models; 100 generated or edited cases per subset that survived filtering against Gemini 3.5 Flash and human review). Source: arxiv.org. Saturation forecast: Around 2029. 6 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Claude Sonnet 4.6 | 10 |
| 2 | Kimi K2.6 (Non-reasoning) | 7 |
| 3 | Grok 4.3 | 4 |
| 4 | Qwen 3.5 27B (Non-reasoning) | 3 |
| 5 | GPT-5.4 (Non-reasoning) | 1 |
Interactive version: theaggregate.ai/benchmark?slug=sabre-prior-context · How It Works · Data refreshed daily, snapshot 2026-09-29.