Research index
Technical reportVv2.0
Travel AI Benchmark 2026: ChatGPT, Perplexity and tripbot stress-tested
Complete AI benchmark with 150 real DACH travel requests across six categories. Evaluated for accuracy, actionability and response time - transparent and reproducible.
Released
14 February 2026
Subject
Travel intelligence v2.1
Dataset
N150 Queries
Abstract
This report evaluates deterministic accuracy with complex travel requirements
Benchmark performance
Higher is bettertripbotState of the art
94.5%Perplexity
87.1%ChatGPT
81.6%The results show
Technical evaluation
Detailed metrics about
| Model | Overall | Constraint match | Actionability | Latency (s) |
|---|---|---|---|---|
| tripbot | 94.50 | 95.80 | 96.00 | 0.23 |
| ChatGPT | 81.57 | 77.17 | 81.35 | 0.46 |
| Perplexity | 87.07 | 92.92 | 86.40 | 1.55 |
Methodology
Our test environment is
Sampling data
150 anonymized German travel prompts, segmented into 6 travel cases (flight, hotel, package trip, visa, weather, inspiration).
Evaluation protocol
Two-stage blind rating process with