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Finance AI Index
Index › Receivables and billing › Merchants of record › Dodo Payments vs Gumroad
Merchants of record · October 2026 Edition

Dodo Payments vs Gumroad

Zero of fourteen models named Dodo Payments first on the direct prompt; zero named Gumroad. Dodo Payments was named by eleven of the fourteen models and Gumroad by twelve and Dodo Payments carries 17 labels and Gumroad 22, so the shares are not directly comparable.

Dodo Payments

accepted challenger

Named in four categories this edition.

Gumroad

criticized challenger

Named in two categories this edition.

First-choice share5%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate0%50%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#6#8A position in a field of 10; printed, not drawn.
Labels1722A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Dodo Payments reading right to left. Rank and label count are printed, not drawn.Paddle was named alongside these two in fourteen of the fourteen direct answers. Paddle vs Dodo Payments · Paddle vs Gumroad · Cleverbridge vs Dodo Payments

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 merchants of record page.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
Dodo PaymentsFirst choices, of fourteen modelsGumroad
Direct00
Paraphrase00
Comparative00
Budget-constrained315 against Gumroad
Scale-constrained00
Negative006 against Gumroad
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, Dodo Payments and Gumroad were named in the same answer fourteen times, of the 48 answers naming Dodo Payments and the 48 naming Gumroad. In those answers Gumroad took the first choice one time and Dodo Payments three.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where Dodo Payments and Gumroad 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
Dodo Payments Gumroad first choice named as an alternative argued againstblank: not namedEach cell is one answer, Dodo Payments on the left and Gumroad on the right.

The direct prompt

The plain question, one answer per model, grouped by where Dodo Payments and Gumroad stood in it.

Neither was named

14 of 14 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5FastSpring alternatives: Cleverbridge, Paddle, PayPro Global
GPT-5.4 miniFastSpring alternatives: Paddle
Gemini 3.5 FlashCleverbridge alternatives: FastSpring, Paddle, PayPro Global
Perplexity SonarCleverbridge alternatives: Paddle
Grok 4.1 FastCleverbridge alternatives: FastSpring, Paddle
Mistral SmallCleverbridge alternatives: 2Checkout, Paddle
DeepSeek V4 FlashCleverbridge alternatives: 2Checkout, Paddle
Llama 4 MaverickCleverbridge, Paddle
Qwen 3.7 FlashFastSpring, Paddle alternatives: Verifone
Kimi K2Paddle alternatives: FastSpring, PayPro Global
GLM 4.7 FlashXCleverbridge, Paddle alternatives: FastSpring
MiniMax M2.5Cleverbridge alternatives: FastSpring, Paddle, PayPro Global
GPT-6 LunaPaddle alternatives: FastSpring
Muse Glimmer 30BPaddle alternatives: Cleverbridge, FastSpring, PayPro Global

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
Dodo Payments leads by six points.
Dodo Payments6%#5 of 10
Gumroad0%#10 of 10
The full small business standing →
Mid-marketThe figures above
Dodo Payments leads by three points.
Dodo Payments5%#6 of 10
Gumroad2%#8 of 10
The full mid-market standing →
Enterprise
Level: the same share of first choices.
Dodo Payments0%#– of 7
Gumroad0%#– of 7
The full enterprise standing →

What the models said about Dodo Payments

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

“Lowest published headline rate: Dodo Payments... Try Dodo if your priority is the lowest published fee” GPT-6 Luna · budget prompt · first choice
“Dodo Payments looks like the strongest low-budget option at 4% + 40¢ with no monthly fees” Perplexity Sonar · budget prompt · first choice
“the best merchant of record for a company with a limited budget is Dodo Payments” GLM 4.7 FlashX · budget prompt · first choice

What the models said about Gumroad

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

“Important Note: Avoid Gumroad ... Gumroad is significantly more expensive for a budget-conscious company.” Qwen 3.7 Flash · budget prompt · hard negative
“For Stability: Avoid Gumroad if you need predictable T+1 payouts.” Qwen 3.7 Flash · negative prompt · hard negative
“Avoid for tiny budgets: ... Gumroad (8-10%)” Grok 4.1 Fast · budget prompt · hard negative
“such as Freemius, Gumroad, Lemon Squeezy, or Whop” Llama 4 Maverick · budget prompt · first choice
“Lowest-Risk Option for Testing: Gumroad ... Caveat: Much more expensive at scale.” Kimi K2 · budget prompt · alternative
“Gumroad is especially simple, but its Discover fee is substantial.” GPT-6 Luna · 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.