TIDE (Evolving Documents, Retrieval): leaderboard
Metric: Macro-averaged strict accuracy (%; mean over the eight task types; 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; retrieval: passages retrieved from the instrument corpus are supplied). Source: arxiv.org. Saturation forecast: Around 2029. 9 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Claude Sonnet 4.5 (Thinking) | 58.05 |
| 2 | GPT-5.2 (Thinking) | 57.06 |
| 3 | Kimi K2.5 (Thinking) | 54.46 |
| 4 | Gemini 3.5 Flash | 52.87 |
| 5 | GPT-OSS-120B | 52.69 |
| 6 | Qwen 3.6 35B A3B | 52.13 |
| 7 | Gemma 4 31B (Reasoning) | 47.69 |
| 8 | GLM-4.6 | 45.43 |
Interactive version: theaggregate.ai/benchmark?slug=tide-evolving-documents-retrieval · How It Works · Data refreshed daily, snapshot 2026-09-29.