TravelEval - Tour-Time Compliance: 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 attraction visits whose planned duration falls inside the recommended range; higher is better.

Metric: Tour-Time Compliance Sign (TTCS): attraction visits whose duration falls within the recommended range (%); 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: Not forecast. 7 models tracked.

Top models

#ModelScoreOverall rank
1Qwen 3 8B5.72#1830
2GPT-4o (2024-11-20)5.65#866
3GPT-4o Mini (2024-07-18)4.61#1510
4GPT-5 Chat1.59#444
5DeepSeek V3.1 (Non-reasoning)1.47#497 (DeepSeek V3.1)
6Gemini 2.0 Flash0.9#704
7Claude Sonnet 4.50.89#250

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

Interactive version: theaggregate.ai/benchmark?slug=traveleval-tour-time-compliance · How It Works · Data refreshed daily, snapshot 2026-11-13.