TIDE (Evolving Documents, Gold Context) - Context Misalignment: leaderboard

Part of TIDE (Sobhani et al., 2026) on temporally evolving Bangladesh customs instruments, with the governing instrument supplied in the prompt: a misleading preamble states a superseded version and the model must answer from the version actually in force, over 116 questions judged by a three-model council. Strict accuracy in percent, higher is better.

Metric: Strict accuracy (%; 116 questions whose preamble states a superseded version, judged by the council against the value in force; TIDE, 3,050 expert-verified questions over 644 Bangladesh customs instruments (1969-2025); free-form answers are judged by a council of Claude Opus 4.6, Gemini 3.5 Flash and GPT-5.1 by majority vote with a hard date gate, deterministic tasks by exact match; strict accuracy without the partial-rubric credit; thinking enabled, temperature 0; gold context: the governing instrument text is supplied in the prompt). Source: arxiv.org. Saturation forecast: Around 2029. 9 models tracked.

Top models

#ModelScoreOverall rank
1Kimi K2.5 (Thinking)27.62#256 (Kimi K2.5)
2GPT-5.2 (Thinking)26.73#176 (GPT-5.2)
3Qwen 3.6 35B A3B22.42#462
4GPT-OSS-120B19.89#700
5Gemini 3.5 Flash19.88#101
6Gemma 4 31B (Reasoning)19.85#394 (Gemma 4 31B)
7GLM-4.617.23#486
8Claude Sonnet 4.5 (Thinking)14.71#250 (Claude Sonnet 4.5)

No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.

Interactive version: theaggregate.ai/benchmark?slug=tide-evolving-documents-gold-context-context-misalignment · How It Works · Data refreshed daily, snapshot 2026-11-13.