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  1. Home
  2. Best For
  3. Travel Planning

Best AI for Travel Planning

Constraint planning is the transferable part: a meal from seven pantry items, a multi-course build, an explanation retuned per listener.

Updated Jun 2026·3 challenges·20 models

How Travel Planning rankings are computed

20 models tested across 3 travel planning challenges.Composite score: 30% Rival Index, 20% task coverage, 20% challenge-scoped duel performance, 15% recency, 15% tier. Deduplicated by product line. GPT-6 Astra leads at 80.8/100. Drawn from Rival's open dataset of 21,000+ human preference votes.

Rival's Pick·#4 Rival Index·Openai flagship

Slight edge
GPT-6 Astra
GPT-6 Astraopenai

GPT-6 Astra edges out the field for Travel Planning. Gemini 3.8 Flash is close but lacks the community consensus.

Composite scores combine task evidence, Rival Index, recency, and model tier. Rival’s Pick is a separate editorial recommendation. How ranking works

Gemini 3.8 Flash
Gemini 3.8 Flash
google
$0.75·$3.75
76Composite
GPT-6 Astra
GPT-6 Astra
openai
$10.00·$50.00
81Composite
Gemini 3.1 Pro Preview
Gemini 3.1 Pro Preview
google
$2.00·$12.00
76Composite

Head-to-Head

GPT-6 Astra logo
GPT-6 Astra
vs
Gemini 3.8 Flash
Gemini 3.8 Flash logo
GPT-6 Astra logo
GPT-6 Astra
vs
Gemini 3.1 Pro Preview
Gemini 3.1 Pro Preview logo
Gemini 3.8 Flash logo
Gemini 3.8 Flash
vs
Gemini 3.1 Pro Preview
Gemini 3.1 Pro Preview logo

What the top three actually wrote

Opening lines from 6 answers across every prompt behind this ranking. Formatting stripped, words untouched.

Explain Like I'm a Specific Expert

Explain how a large language model (like GPT or Claude) learns and generates text to each of these three audiences: 1. **An experienced…

GPT-6 Astra989 words
For an experienced software engineer Think of a large language model as a program with an enormous array of tunable parameters rather than explicitly written rules. Training text is broken into tokens—word fragments, punctuation, and other units—and the model learns to predict each token from the preceding ones.
Read the full answer
Gemini 3.1 Pro Preview951 words
To the Experienced Software Engineer At its core, training a Large Language Model is essentially a massive, distributed, continuous optimization job. Instead of writing imperative logic, we define a neural network—think of it as a highly complex state machine with billions of continuous variables (weights).
Read the full answer

Simple 7-Ingredient Recipe

Create a simple recipe for a delicious dish (sweet or savory) using only 7 common pantry ingredients. Include a creative name for the dish…

GPT-6 Astra200 words
Cinnamon Hug Cookies Buttery cookies with crisp edges, soft centers, and a cozy cinnamon flavor. Makes: About 20 cookies Prep: 10 minutes Cook: 10–12 minutes per batch Ingredients — exactly 7 1½ cups all-purpose flour ¾ cup granulated sugar, divided ½ cup salted butter, softened 1 large egg 1 teaspoon vanilla extract ½…
Read the full answer
Gemini 3.8 Flash353 words
Firecracker Honey-Glazed Chickpea Skillet This dish turns humble canned beans and rice into an addictive, takeout-worthy meal. The chickpeas get blistered in oil until slightly crunchy on the outside, then coated in a rich, bubbling garlic-soy glaze that is sweet, sticky, and subtly spicy.
Read the full answer

Michelin Star Recipe Design

Design an innovative recipe for a multi-component dish worthy of a Michelin 3-star restaurant. The recipe should feature an unusual…

Gemini 3.8 Flash1,246 words
Conceptual Narrative: The Pelagic Boreal This dish is an intellectual and sensory exploration of the boundary where the sub-arctic boreal forest collapses into the frigid North Pacific shelf.
Read the full answer
Gemini 3.1 Pro Preview1,127 words
Dish Title: Symbiosis: The Pine & The Pearl Conceptual Narrative: Symbiosis is a culinary exploration of the ecotone—the transitional space where the ancient, damp coniferous forest meets the crashing, briny ocean.
Read the full answer

Full Rankings

20 models
#
Model
Coverage
Index
Price
Composite
4
Claude Fable 5 logo
Claude Fable 5anthropic
3/3
#12
$10.00·$50.00
73
5
Claude Opus 5 logo
Claude Opus 5anthropic
3/3
#58
$5.00·$25.00
72
6
Claude Haiku 4.5 logo
Claude Haiku 4.5anthropic
3/3
#45
$1.00·$5.00
71
7
GPT OSS 120B logo
GPT OSS 120Bopenai
3/3
#127
$0.18·$0.80
70
8
Kimi K3 logo
Kimi K3moonshotai
3/3
#48
$3.00·$15.00
67
9
GPT-5.6 Sol logo
GPT-5.6 Solopenai
3/3
#154
$5.00·$30.00
66
10
Muse Spark 1.3 Contributor logo
Muse Spark 1.3 Contributormeta
3/3
#152
$0.10·$0.20
66
Challenges3
Explain Like I'm a Specific Expert
One idea, explained to one named expert. Audience modeling.
Simple Recipe
Dinner from what is in the fridge. Practical or nothing.
Michelin Star Recipe Design
A tasting-menu dish, technique and story included.
Related
Practical TasksResearchSummarization

Keep exploring

#1 VS #2

GPT-6 Astra vs Gemini 3.8 Flash

The top two for Travel Planning, compared directly

RELATED

Best AI for Practical Tasks

See which models rank highest here

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Explore all of Rival

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