Finance AI Index
Index Spend and procurement Corporate travel managem › Navan vs Ramp
Corporate travel management · September 2026 Edition

Navan vs Ramp

Nine of twelve models named Navan first on the direct prompt; zero named Ramp. Navan was named by twelve of the twelve models and Ramp by eleven and Navan carries 56 labels and Ramp 30, 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 share51%4%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate18%7%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#1#4A position in a field of 9; printed, not drawn.
Labels5630A 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 ten of the twelve direct answers. Navan vs TravelPerk · Navan vs Booking.com for Business · TravelPerk vs Ramp

Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all twelve 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 twelve models made each the first choice, per way of asking, and how many argued against it.
NavanFirst choices, of twelve modelsRamp
Direct90
Paraphrase100
Comparative401 against Ramp
Budget-constrained221 against Navan
Scale-constrained20
Negative009 against Navan · 1 against Ramp
Bars are first choices, 0 to 12 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to twelve.

Across every category in the September 2026 Edition, Navan and Ramp were named in the same answer 166 times, of the 286 answers naming Navan and the 944 naming Ramp. In those answers Ramp took the first choice forty-five times and Navan twenty-seven.

Every model, every framing

The seventy-two 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
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

9 of 12 modelsRamp was named in the answer but not as the choice, or not at all.
GPT-5.4 miniNavan alternatives: Amex GBT Egencia, SAP Concur, TravelPerk
Gemini 3.5 FlashNavan alternatives: Amex GBT Egencia, Brex, Ramp, Rippling Travel, Spotnana, TravelPerk
Perplexity SonarNavan alternatives: Amex GBT Egencia, SAP Concur, TravelPerk
Grok 4.1 FastNavan, TravelPerk alternatives: Ramp
Mistral SmallNavan alternatives: Spotnana, TravelPerk
DeepSeek V4 FlashNavan alternatives: Spotnana, TravelPerk
Qwen 3.7 FlashNavan alternatives: AmTrav, ITILITE
Kimi K2Navan, TravelPerk alternatives: ITILITE, Rippling Travel
GLM 4.7 FlashXNavan alternatives: Amex GBT Egencia, ITILITE, Spotnana, TravelPerk

Neither was the first choice, one was named

2 of 12 modelsThe answer put something else first and named one of the two as an alternative.
Claude Haiku 4.5TravelPerk alternatives: Navan, Ramp, SAP Concur
MiniMax M2.5ITILITE alternatives: Navan, TravelPerk

Neither was named

1 of 12 modelsThe answer made no first choice from these two in this category.
Llama 4 Maverickno first choice

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-four points.
Navan33%#1 of 10
Ramp8%#4 of 10
The full small business standing →
Mid-marketThe figures above
Navan leads by forty-seven points.
Navan51%#1 of 9
Ramp4%#4 of 9
The full mid-market standing →
Enterprise
Navan leads by twenty-four points.
Navan28%#2 of 10
Ramp4%#5 of 10
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 seven in this category shown.

“This generated consistent complaints across executive assistant communities... Customer support described as "abysmal"... ~67% of recent reviews negative” DeepSeek V4 Flash · negative prompt · hard negative
“What to Avoid on a Tight Budget - Navan: ... Powerful, but overkill for a limited budget.” DeepSeek V4 Flash · budget prompt · hard negative
“It is recommended to avoid Navan” Llama 4 Maverick · negative prompt · hard negative
“Navan - a strong fit for mid-market and enterprise teams that want booking, expense management, and corporate cards in one AI-powered platform.” Llama 4 Maverick · paraphrase prompt · first choice
“Navan is the strongest candidate for mid-market B2B companies that need integrated travel, expense, and cards with AI-assisted booking.” GLM 4.7 FlashX · direct prompt · first choice
“For most mid-sized B2B companies, Navan is the top recommendation due to its balance of ease of use, integration, and scalability.” Mistral Small · paraphrase prompt · first choice

What the models said about Ramp

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. One of one in this category shown.

“Lightweight "Card-First" Travel Portals (e.g., Ramp, Brex...) ... they often lack the deep infrastructure of dedicated travel agencies” Gemini 3.5 Flash · negative prompt · soft negative
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.