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AI accounting assistants · October 2026 Edition

Zoho Books vs Digits

Zero of fourteen models named Zoho Books first on the direct prompt; zero named Digits. Zoho Books was named by ten of the fourteen models and Digits by nine and Zoho Books carries 13 labels and Digits 10, so the shares are not directly comparable.

Zoho Books

accepted challenger

Named in seventeen categories this edition.

Digits

accepted challenger

Named in one category this edition.

First-choice share11%4%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate8%20%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#3#8A position in a field of 17; printed, not drawn.
Labels1310A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Zoho Books reading right to left. Rank and label count are printed, not drawn.Sage Intacct was named alongside these two in thirteen of the fourteen direct answers. Sage Intacct vs Zoho Books · Sage Intacct vs Digits · Rillet vs Zoho Books

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 AI accounting assistants page.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
Zoho BooksFirst choices, of fourteen modelsDigits
Direct00
Paraphrase00
Comparative011 against Zoho Books
Budget-constrained521 against Digits
Scale-constrained00
Negative001 against Digits
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 Zoho Books and Digits 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
Zoho Books Digits first choice named as an alternative argued againstblank: not namedEach cell is one answer, Zoho Books on the left and Digits on the right.

The direct prompt

The plain question, one answer per model, grouped by where Zoho Books and Digits stood in it.

Neither was the first choice, one was named

1 of 14 modelsThe answer put something else first and named one of the two as an alternative.
DeepSeek V4 FlashRillet alternatives: Digits, Pilot, Sage Intacct

Neither was named

13 of 14 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5Sage Intacct alternatives: Ramp Accounting Agent, Rillet, Xero
GPT-5.4 miniSage Intacct alternatives: FloQast, HighRadius
Gemini 3.5 FlashTruewind alternatives: Numeric, Ramp Accounting Agent, Stampli, Vic.ai
Perplexity SonarRillet, Sage Intacct alternatives: Vic.ai, Zeni
Grok 4.1 FastSage Intacct alternatives: Oracle NetSuite, Xero
Mistral SmallVic.ai alternatives: Oracle NetSuite, Sage Intacct
Llama 4 MaverickVic.ai alternatives: BILL, Oracle NetSuite, Sage Intacct
Qwen 3.7 FlashSage Intacct alternatives: BlackLine, Bluecopa, Oracle NetSuite, Vic.ai
Kimi K2Sage Intacct alternatives: BILL, Oracle NetSuite, Ramp Accounting Agent, Rillet
GLM 4.7 FlashXSage Intacct, Xero alternatives: Oracle NetSuite, Ramp Accounting Agent, Rillet
MiniMax M2.5Sage Intacct alternatives: Booke AI, Oracle NetSuite, Vic.ai
GPT-6 LunaSage Intacct alternatives: Intuit Enterprise Suite, Oracle NetSuite
Muse Glimmer 30BRillet alternatives: Sage Intacct

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
Zoho Books leads by four points.
Zoho Books6%#4 of 14
Digits2%#8 of 14
The full small business standing →
Mid-marketThe figures above
Zoho Books leads by seven points.
Zoho Books11%#3 of 17
Digits4%#8 of 17
The full mid-market standing →
Enterprise
Zoho Books is not named for this buyer.
Digits2%#– of 12
Zoho Books—not named
The full enterprise standing →

What the models said about Zoho Books

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

“Its AI capabilities are helpful, but the bigger differentiator is usually price and platform fit rather than best-in-class accounting AI.” GPT-5.4 mini · comparative prompt · soft negative
“The Best Overall Value: Zoho Books ... It offers the most comprehensive "AI-like" features (called Zia) at the lowest price point among major platforms.” Qwen 3.7 Flash · budget prompt · first choice

What the models said about Digits

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

“Digits and similar AI-first tools may be interesting, but they're aimed more at growing companies than the absolute lowest-budget option” GPT-5.4 mini · budget prompt · soft negative
“Platforms like Digits and Puzzle work best on clean, standardized data and require significant manual handling for edge cases” Claude Haiku 4.5 · negative prompt · soft negative
“Want an AI-native ledger that replaces QBO | Digits | Built from scratch as an AI ledger with continuous reconciliation.” Gemini 3.5 Flash · comparative prompt · first choice
“Digits at $65 a month is the best AI bookkeeping tool for most small businesses” Muse Glimmer 30B · budget prompt · first choice
“at $65 a month for Essentials, representing the best mix of depth and cost” Claude Haiku 4.5 · budget prompt · first choice
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.