TravelEval - Accommodation Preference: leaderboard
TravelEval (KDD 2026) asks an LLM for a complete multi-day travel plan and simulates it in a sandbox of 10 Chinese cities with real transport, hotel and attraction data. Scores are from Direct prompting over 1,150 queries. The board is the percentage of plans that book the accommodation type the user asked for; higher is better.
Metric: Preference Achievement Sign for accommodation type (PAS-A): plans booking the requested accommodation type (% of plans); Direct prompting (one pass, no tools), plans simulated in the TravelEval sandbox of 10 Chinese cities (real rail, flight, hotel and attraction data, queuing-time model, road-network distances) over 1,150 queries; higher is better. Source: arxiv.org. Saturation forecast: Around February 2027. 7 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | Claude Sonnet 4.5 | 56.99 | #250 |
| 2 | DeepSeek V3.1 (Non-reasoning) | 52.77 | #497 (DeepSeek V3.1) |
| 3 | Gemini 2.0 Flash | 52.69 | #704 |
| 4 | GPT-4o (2024-11-20) | 51.13 | #866 |
| 5 | GPT-5 Chat | 50.18 | #444 |
| 6 | Qwen 3 8B | 48.7 | #1830 |
| 7 | GPT-4o Mini (2024-07-18) | 11.69 | #1510 |
No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.
Interactive version: theaggregate.ai/benchmark?slug=traveleval-accommodation-preference · How It Works · Data refreshed daily, snapshot 2026-11-13.