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Index › Finance › Spend and procurement › Expense management › Expensify vs Navan
Expense management · November 2026 Edition

Expensify vs Navan

Two of fourteen models named Expensify first on the direct prompt; zero named Navan. Both were named by all fourteen models and Expensify carries 65 labels and Navan 42, so the shares are not directly comparable.

Expensify

accepted challenger

Named in seven categories this edition.

Navan

accepted challenger

Named in six categories this edition.

First-choice share12%4%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate14%7%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#3#6A position in a field of 12; printed, not drawn.
Labels6542A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Expensify reading right to left. Rank and label count are printed, not drawn.Ramp was named alongside these two in twelve of the fourteen direct answers. Ramp vs Expensify · Ramp vs Navan · Zoho Expense vs Expensify

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 expense 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.
ExpensifyFirst choices, of fourteen modelsNavan
Direct201 against Expensify
Paraphrase22
Comparative20
Budget-constrained201 against Expensify
Scale-constrained00
Negative107 against Expensify · 3 against Navan
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 November 2026 Edition, Expensify and Navan were named in the same answer eighty-four times, of the 281 answers naming Expensify and the 366 naming Navan. In those answers Navan took the first choice four times and Expensify seven.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where Expensify and Navan stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
Claude Haiku 4.5
GPT-5.4 mini
Gemini 3.5 Flash
Perplexity Sonar
Grok 4.20
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
Expensify Navan first choice named as an alternative argued againstblank: not namedEach cell is one answer, Expensify on the left and Navan on the right.

The direct prompt

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

Expensify first, Navan an alternative

2 of 14 modelsNavan was named in the answer but not as the choice, or not at all.
Mistral SmallBrex, Expensify, Ramp alternatives: BILL Spend & Expense, Navan, Rippling Spend
MiniMax M2.5Expensify, Ramp alternatives: Navan, SAP Concur, Zoho Expense

Neither was the first choice, one was named

10 of 14 modelsThe answer put something else first and named one of the two as an alternative.
GPT-5.4 miniRamp alternatives: Brex, Navan, Rippling Spend, SAP Concur
Gemini 3.5 FlashRamp alternatives: Airbase, Brex, Navan
Perplexity SonarRamp alternatives: BILL Spend & Expense, Expensify, ITILITE, Navan, Rydoo, Spendesk, Zoho Expense
Grok 4.20Ramp alternatives: BILL Spend & Expense, Brex, Expensify, Zoho Expense
DeepSeek V4 FlashRamp alternatives: BILL Spend & Expense, Brex, Expensify, Zoho Expense
Qwen 3.7 FlashRippling Spend alternatives: BILL Spend & Expense, Navan, Ramp
Kimi K2Ramp alternatives: BILL Spend & Expense, Brex, Expensify, Zoho Expense
GLM 4.7 FlashXZoho Expense alternatives: BILL Spend & Expense, Brex, Expensify, Ramp
GPT-6 LunaRamp alternatives: Brex, Navan, SAP Concur
Muse Glimmer 30BZoho Expense alternatives: Brex, Expensify, Navan, Ramp, SAP Concur

Neither was named

2 of 14 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5no first choice alternatives: Airbase, Paylocity, Rydoo, Spendesk
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
Expensify leads by thirteen points.
Expensify13%#3 of 10
Navan0%#– of 10
The full small business standing →
Mid-marketThe figures above
Expensify leads by eight points.
Expensify12%#3 of 12
Navan4%#6 of 12
The full mid-market standing →
Enterprise
Expensify leads by four points.
Expensify10%#3 of 12
Navan6%#4 of 12
The full enterprise standing →

What the models said about Expensify

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

“Expensify, if your team relies on a very simple mobile workflow. Recent user reviews report that interface changes made submitting expenses more confusing” GPT-6 Luna · negative prompt · soft negative
“rated 4.5/5 on Capterra; it has its quirks but far fewer "horror stories" than Divvy or Rydoo” DeepSeek V4 Flash · negative prompt · first choice
“Choose Expensify if you want flexibility with existing cards and strong receipt scanning” Kimi K2 · comparative prompt · first choice

What the models said about Navan

No label in this category carried a quote.

Also compared
Ramp vs ExpensifyRamp vs NavanZoho Expense vs ExpensifyZoho Expense vs NavanExpensify vs BILL Spend & ExpenseExpensify vs Rippling SpendExpensify vs BrexExpensify vs EmburseBILL Spend & Expense vs NavanRippling Spend vs NavanNavan vs BrexNavan vs EmburseAll twenty-eight head-to-head pages and the full expense management standing

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.