RECON (Long-Context Reasoning) - Temporal Fact Retrieval: leaderboard
Retrieve facts as they stood at a given time in a long case file with explicit updates; from RECON (2026). Score from -1 to 1 with negative marking, higher is better.
Metric: Score (-1 to 1; retrieving time-indexed facts; full 50K-100K-token case file in context; 1,414 questions after a closed-book contamination filter; abstention allowed, MCQ-single wrong answers -0.2, MCQ-multiple option-weighted in [-1, 1], ordering by Kendall tau, free-form by two cross-family LLM judges; temperature 0). Source: arxiv.org. Saturation forecast: Around February 2027. 8 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | Gemini 2.5 Flash | 0.49 | #453 |
| 2 | Kimi K2.5 | 0.46 | #256 |
| 3 | Gemini 2.5 Pro | 0.45 | #266 |
| 4 | GPT-5.1 | 0.43 | #229 |
| 5 | Llama 3.3 70B | 0.19 | #1498 |
| 6 | GPT-4o Mini (2024-07-18) | 0.16 | #1510 |
| 7 | GPT-4.1 Mini | 0.13 | #779 |
No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.
Interactive version: theaggregate.ai/benchmark?slug=recon-long-context-reasoning-temporal-fact-retrieval · How It Works · Data refreshed daily, snapshot 2026-11-13.