VeriTrip: leaderboard
Existing benchmarks have laid the foundation for travel planning agents by establishing API-centric paradigms. However, as the capabilities of Autonomous Agents continue to advance, their evaluation must evolve beyond simple tool execution toward handling the inherent complexities of the open web. Current benchmarks bypass core cognitive hurdles: they fail to account for information noise, ignore
Metric: DR (Simple) (self-reported). Source: benchmarklist.com. Saturation forecast: Around February 2027. 11 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | Claude Sonnet 4.5 | 69.23 | #142 |
| 2 | Qwen 3 VL 235B A22B | 68.26 | #238 |
| 3 | GPT-5 Mini | 67.26 | #186 |
| 4 | Claude 3.7 Sonnet | 66.16 | #249 |
| 5 | O3 | 65.38 | #124 |
| 6 | O4 Mini | 64.69 | #180 |
| 7 | GPT-4o | 63.64 | #343 |
| 8 | Gemini 2.5 Pro | 60.15 | #152 |
| 9 | GPT-4o Mini | 57.69 | #599 |
| 10 | Gemini 2.5 Flash | 55.17 | #245 |
No result here: #3 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.
Interactive version: theaggregate.ai/benchmark?slug=veritrip · How It Works · Data refreshed daily, snapshot 2026-10-20.