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Index › Spend and procurement › Corporate travel managem › Navan vs Ramp
Corporate travel management · October 2026 Edition

Navan vs Ramp

Eleven of fourteen models named Navan first on the direct prompt; zero named Ramp. Navan was named by fourteen of the fourteen models and Ramp by thirteen and Navan carries 67 labels and Ramp 38, so the shares are not directly comparable.

Navan

endorsed leader

Named in four categories this edition.

Ramp

accepted challenger

Named in seventeen categories this edition.

First-choice share53%5%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate13%8%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#1#4A position in a field of 12; printed, not drawn.
Labels6738A 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 Engine

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 modelsRamp
Direct110
Paraphrase131
Comparative801 against Ramp
Budget-constrained422 against Navan
Scale-constrained301 against Ramp
Negative207 against Navan · 1 against Ramp
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.

Across every category in the October 2026 Edition, Navan and Ramp were named in the same answer 183 times, of the 320 answers naming Navan and the 1084 naming Ramp. In those answers Ramp took the first choice fifty-two times and Navan forty-two.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where Navan and Ramp stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
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 Ramp first choice named as an alternative argued againstblank: not namedEach cell is one answer, Navan on the left and Ramp on the right.

The direct prompt

The plain question, one answer per model, grouped by where Navan and Ramp stood in it.

Navan first, Ramp an alternative

11 of 14 modelsRamp 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

3 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
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 twenty-nine points.
Navan37%#1 of 12
Ramp8%#4 of 12
The full small business standing →
Mid-marketThe figures above
Navan leads by forty-seven points.
Navan53%#1 of 12
Ramp5%#4 of 12
The full mid-market standing →
Enterprise
Navan leads by twenty-four points.
Navan28%#2 of 11
Ramp4%#5 of 11
The full enterprise standing →

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 Ramp

No label in this category carried a quote.

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.