RECON (Long-Context Reasoning) - Temporal Constraint Satisfaction: leaderboard

Answer questions whose answers must satisfy temporal constraints over the events of a long case file; from RECON (2026). Score from -1 to 1 with negative marking, higher is better.

Metric: Score (-1 to 1; satisfying temporal constraints; 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 August 2027. 8 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 2.5 Flash0.24#453
2GPT-5.10.22#229
3Gemini 2.5 Pro0.19#266
4Kimi K2.50.15#256
5Llama 3.3 70B0.08#1498
6GPT-4o Mini (2024-07-18)0.04#1510
7GPT-4.1 Mini0.02#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-constraint-satisfaction · How It Works · Data refreshed daily, snapshot 2026-11-13.