Corporate travel management · October 2026 Edition
Navan vs Engine
Eleven of fourteen models named Navan first on the direct prompt; zero named Engine. Navan was named by fourteen of the fourteen models and Engine by seven and Navan carries 67 labels and Engine 11, so the shares are not directly comparable.
Named in four categories this edition.
Named in one category this edition.
First-choice share53%3%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate13%18%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#1#5A position in a field of 12; printed, not drawn.
Labels6711A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Navan reading right to left. Rank and label count are printed, not drawn.TravelPerk was named alongside these two in thirteen of the fourteen direct answers. Navan vs TravelPerk · Navan vs Booking.com for Business · Navan vs Ramp
Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all fourteen models, for a mid-market B2B company; rank is within the category; every quote names the model and the prompt it came from. Both figures come from the corporate travel management page.
By framing
How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
NavanFirst choices, of fourteen modelsEngine
Direct110
Paraphrase130
Comparative80
Budget-constrained422 against Navan
Scale-constrained30
Negative207 against Navan · 2 against Engine
Bars are first choices, 0 to 14 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to fourteen.
Every model, every framing
The eighty-four answers behind the chart above, one cell each: where Navan and Engine stood in it.
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | | | | | ||
| GPT-5.4 mini | | | | | | |
| Gemini 3.5 Flash | | | | | | |
| Perplexity Sonar | | | | | ||
| Grok 4.1 Fast | | | | | | |
| Mistral Small | | | | | | |
| DeepSeek V4 Flash | | | | | | |
| Llama 4 Maverick | | | | |||
| Qwen 3.7 Flash | | | | | ||
| Kimi K2 | | | | | | |
| GLM 4.7 FlashX | | | | | | |
| MiniMax M2.5 | | | | | | |
| GPT-6 Luna | | | | | | |
| Muse Glimmer 30B | | | |
Navan Engine first choice named as an alternative argued againstblank: not namedEach cell is one answer, Navan on the left and Engine on the right.The direct prompt
The plain question, one answer per model, grouped by where Navan and Engine stood in it.
Navan first, Engine not the choice
11 of 14 modelsEngine was named in the answer but not as the choice, or not at all.Claude Haiku 4.5Navan alternatives: Amex GBT Egencia, BCD Travel, Ramp, TravelPerk
GPT-5.4 miniNavan alternatives: Amex GBT Egencia, SAP Concur, TravelPerk
Gemini 3.5 FlashNavan alternatives: Amex GBT Egencia, Brex, Ramp, TravelPerk
Grok 4.1 FastNavan alternatives: Ramp, TravelPerk
Mistral SmallNavan alternatives: Booking.com for Business, Certify, Routespring
DeepSeek V4 FlashNavan alternatives: Amex GBT Egencia, SAP Concur, TravelPerk
Llama 4 MaverickNavan, Routespring, TravelPerk
Kimi K2Navan, TravelPerk alternatives: Ramp, Routespring, SAP Concur
GLM 4.7 FlashXNavan, TravelPerk alternatives: Ramp, SAP Concur
MiniMax M2.5Navan, TravelPerk alternatives: Spotnana
GPT-6 LunaNavan alternatives: Ramp, TravelPerk
Neither was the first choice, one was named
2 of 14 modelsThe answer put something else first and named one of the two as an alternative.Perplexity SonarTravelPerk alternatives: Booking.com for Business, Corporate Traveler, Navan, Routespring
Qwen 3.7 FlashTravelPerk alternatives: Navan, Spotnana
Neither was named
1 of 14 modelsThe answer made no first choice from these two in this category.Muse Glimmer 30BNavan, formerly TripActions alternatives: Booking.com for Business, Ramp, SAP Concur, TravelPerk
Bold names in an answer are the products the judge labeled a first choice; a model naming several gives each of them that label. The full answer text for every row is in the record.
By buyer segment
The same question asked on behalf of a different buyer. Each standing is computed within its segment and they are never added together. The figures above are the mid-market standing, which is the one the category orders by.
Small business
Navan leads by thirty-three points.
Navan37%#1 of 12Engine4%#5 of 12Mid-marketThe figures above
Enterprise
What the models said about Navan
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“these are the travel management platforms that consistently draw the most cautionary feedback: ### Navan, formerly TripActions” Muse Glimmer 30B · negative prompt · hard negative
“generally well reviewed, but some users complain about higher-than-direct booking prices, booking/approval friction, and support issues” GPT-5.4 mini · negative prompt · soft negative
“Some users have reported booking confusion, excessive steps, miscommunication, and untrustworthy reservation confirmations.” MiniMax M2.5 · negative prompt · soft negative
“Some of the top options include Navan, Perk, and Routespring, which offer all-in-one platforms with AI-powered booking, expense automation, and 24/7 support.” Llama 4 Maverick · direct prompt · first choice
“Start with 3 vendors: One modern (Navan or TravelPerk)... modern all-in-one platforms (Navan, TravelPerk, Spotnana) typically beat legacy TMCs on UX” Kimi K2 · scale prompt · first choice
“Best for mid-market companies 50-300+ employees that want a modern, all-in-one travel and expense platform with a consumer-grade interface.” Muse Glimmer 30B · scale prompt · first choice
What the models said about Engine
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Five of six in this category shown.
“self-serve travel management platforms, such as Engine, Itilite, Navan, and Perk, may have limitations and compliance gaps” Llama 4 Maverick · negative prompt · soft negative
“user reviews highlight slow and inconsistent support response times” Mistral Small · negative prompt · soft negative
“For a budget-limited company, Engine or Ramp stand out for having zero platform fees and no contracts” Claude Haiku 4.5 · budget prompt · first choice
“I strongly recommend starting with Engine since it's completely free with no hidden costs” MiniMax M2.5 · budget prompt · first choice
“Engine is recommended for companies that want free access to pre-negotiated hotel rates, consolidated billing, and policy enforcement without implementation cycles” Claude Haiku 4.5 · comparative prompt · alternative
Also compared
Comparisons are drawn for the top eight products in each category, each against each. The output is the models' output; nothing here is a recommendation by the index.