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AI accounting assistants · October 2026 Edition

Vic.ai vs Numeric

Two of fourteen models named Vic.ai first on the direct prompt; zero named Numeric. Vic.ai was named by thirteen of the fourteen models and Numeric by seven and Vic.ai carries 30 labels and Numeric 11, so the shares are not directly comparable.

Vic.ai

accepted challenger

Named in three categories this edition.

Numeric

accepted challenger

Named in four categories this edition.

First-choice share9%7%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate7%0%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#4#6A position in a field of 17; printed, not drawn.
Labels3011A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Vic.ai 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 Vic.ai · Sage Intacct vs Numeric · Rillet vs Vic.ai

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.
Vic.aiFirst choices, of fourteen modelsNumeric
Direct20
Paraphrase23
Comparative11
Budget-constrained00
Scale-constrained00
Negative002 against Vic.ai
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 Vic.ai and Numeric 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
Vic.ai Numeric first choice named as an alternative argued againstblank: not namedEach cell is one answer, Vic.ai on the left and Numeric on the right.

The direct prompt

The plain question, one answer per model, grouped by where Vic.ai and Numeric stood in it.

Vic.ai first, Numeric not the choice

2 of 14 modelsNumeric was named in the answer but not as the choice, or not at all.
Mistral SmallVic.ai alternatives: Oracle NetSuite, Sage Intacct
Llama 4 MaverickVic.ai alternatives: BILL, Oracle NetSuite, Sage Intacct

Neither was the first choice, one was named

4 of 14 modelsThe answer put something else first and named one of the two as an alternative.
Gemini 3.5 FlashTruewind alternatives: Numeric, Ramp Accounting Agent, Stampli, Vic.ai
Perplexity SonarRillet, Sage Intacct alternatives: Vic.ai, Zeni
Qwen 3.7 FlashSage Intacct alternatives: BlackLine, Bluecopa, Oracle NetSuite, Vic.ai
MiniMax M2.5Sage Intacct alternatives: Booke AI, Oracle NetSuite, Vic.ai

Neither was named

8 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
Grok 4.1 FastSage Intacct alternatives: Oracle NetSuite, Xero
DeepSeek V4 FlashRillet alternatives: Digits, Pilot, Sage Intacct
Kimi K2Sage Intacct alternatives: BILL, Oracle NetSuite, Ramp Accounting Agent, Rillet
GLM 4.7 FlashXSage Intacct, Xero alternatives: Oracle NetSuite, Ramp Accounting Agent, Rillet
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
Level: the same share of first choices.
Vic.ai0%#14 of 14
Numeric0%#– of 14
The full small business standing →
Mid-marketThe figures above
Vic.ai leads by two points.
Vic.ai9%#4 of 17
Numeric7%#6 of 17
The full mid-market standing →
Enterprise
Vic.ai leads by eleven points.
Vic.ai15%#1 of 12
Numeric4%#6 of 12
The full enterprise standing →

What the models said about Vic.ai

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

“Both claim up to 95% autonomy for AP tasks and bookkeeping, but these figures should be treated as marketing claims rather than guarantees.” Mistral Small · negative prompt · soft negative
“Overhyped Autonomy Claims (e.g., Booke AI, Vic.ai claiming 95% hands-off)” Grok 4.1 Fast · negative prompt · soft negative
“1. Vic.ai - Autonomous AP at real enterprise invoice volume, with invoice coding cost drops from ~$12 to under $2 each.” Llama 4 Maverick · paraphrase prompt · first choice
“Vic.ai is often cited as the best AI-driven tool for bookkeeping, especially for AP automation” Mistral Small · direct prompt · first choice
“I'd recommend Vic.ai as a top choice for a mid-sized B2B company” MiniMax M2.5 · paraphrase prompt · first choice

What the models said about Numeric

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

“I'd recommend Numeric if your main need is month-end close, reconciliation, and financial reporting” Perplexity Sonar · paraphrase 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.