AI accounting assistants for enterprise buyers
Asked as “AI bookkeeping tool”, and as “AI agent for accounting tasks”, on behalf of an enterprise B2B company. 54 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each.
Standing · first-choice share
15%
Contested · Vic.ai 15%
15Sage Intacct15Vic.ai13BlackLine57others
15% of first choices, contested.
Since September 2026▲+5Since September 2026: 12% → 17%, +5 points. Inside the 10-point floor: within noise. Read over the models both editions asked.Vic.ai held the lead, +5 points on 12%, inside the 10-point floor.
By buyer segment
The same question asked on behalf of a different buyer. Each standing is computed within its segment; they sit side by side and are never added together.
Small business
QuickBooks Online42%Clear leader▲+4Since September 2026: 40% → 44%, +4 points. Inside the 10-point floor: within noise. Read over the models both editions asked.Standing →Mid-market
Sage Intacct22%Contested▼−2Since September 2026: 25% → 23%, −2 points. Inside the 10-point floor: within noise. Read over the models both editions asked.Standing →Enterprise
Vic.ai15%Contested▲+5Since September 2026: 12% → 17%, +5 points. Inside the 10-point floor: within noise. Read over the models both editions asked.This page
QuickBooks Online42%Clear leader▲+4Since September 2026: 40% → 44%, +4 points. Inside the 10-point floor: within noise. Read over the models both editions asked.Standing →Mid-marketSage Intacct22%Contested▼−2Since September 2026: 25% → 23%, −2 points. Inside the 10-point floor: within noise. Read over the models both editions asked.Standing →EnterpriseVic.ai15%Contested▲+5Since September 2026: 12% → 17%, +5 points. Inside the 10-point floor: within noise. Read over the models both editions asked.This pageThe standing
Share is the count of first choices across the direct, paraphrase, budget and scale prompts, over all fourteen models, for an enterprise B2B company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrantSince September 2026
01Vic.ai15%7%41accepted challenger▲+5Since September 2026: 12% → 17%, +5 points. Inside the 10-point floor: within noise. Read over the models both editions asked.12% → 17%
Vic.ai15%7%41accepted challenger▲+5Since September 2026: 12% → 17%, +5 points. Inside the 10-point floor: within noise. Read over the models both editions asked.12% → 17%02Sage Intacct15%6%31accepted challenger▲+10Since September 2026: 7% → 17%, +10 points. Inside the 10-point floor: within noise. Read over the models both editions asked.7% → 17%
Sage Intacct15%6%31accepted challenger▲+10Since September 2026: 7% → 17%, +10 points. Inside the 10-point floor: within noise. Read over the models both editions asked.7% → 17%03
BlackLine13%0%25accepted challenger▲+3Since September 2026: 10% → 13%, +3 points. Inside the 10-point floor: within noise. Read over the models both editions asked.10% → 13%
BlackLine13%0%25accepted challenger▲+3Since September 2026: 10% → 13%, +3 points. Inside the 10-point floor: within noise. Read over the models both editions asked.10% → 13%04
Oracle NetSuite13%7%27accepted challenger▲+5Since September 2026: 10% → 15%, +5 points. Inside the 10-point floor: within noise. Read over the models both editions asked.10% → 15%
Oracle NetSuite13%7%27accepted challenger▲+5Since September 2026: 10% → 15%, +5 points. Inside the 10-point floor: within noise. Read over the models both editions asked.10% → 15%05
Rillet6%20%10accepted challenger=heldSince September 2026: 2% → 2%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.2% → 2%
Rillet6%20%10accepted challenger=heldSince September 2026: 2% → 2%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.2% → 2%06
Numeric4%15%20accepted challenger▼−3Since September 2026: 7% → 4%, −3 points. Inside the 10-point floor: within noise. Read over the models both editions asked.7% → 4%
Numeric4%15%20accepted challenger▼−3Since September 2026: 7% → 4%, −3 points. Inside the 10-point floor: within noise. Read over the models both editions asked.7% → 4%Show the six products at 0%, ordered by negative rate
12
Xero0%86%14criticized challenger▼−5Since September 2026: 5% → 0%, −5 points. Inside the 10-point floor: within noise. Read over the models both editions asked.5% → 0%
Xero0%86%14criticized challenger▼−5Since September 2026: 5% → 0%, −5 points. Inside the 10-point floor: within noise. Read over the models both editions asked.5% → 0%11QuickBooks Online0%76%17criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.0% → 0%
QuickBooks Online0%76%17criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.0% → 0%10
BILL0%25%16criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.0% → 0%
BILL0%25%16criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.0% → 0%09
Ramp Accounting Agent0%6%16accepted challenger▼−2Since September 2026: 2% → 0%, −2 points. Inside the 10-point floor: within noise. Read over the models both editions asked.2% → 0%
Ramp Accounting Agent0%6%16accepted challenger▼−2Since September 2026: 2% → 0%, −2 points. Inside the 10-point floor: within noise. Read over the models both editions asked.2% → 0%07
FloQast0%4%23accepted challenger▼−7Since September 2026: 7% → 0%, −7 points. Inside the 10-point floor: within noise. Read over the models both editions asked.7% → 0%
FloQast0%4%23accepted challenger▼−7Since September 2026: 7% → 0%, −7 points. Inside the 10-point floor: within noise. Read over the models both editions asked.7% → 0%08
Trullion0%0%13accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.0% → 0%
Trullion0%0%13accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.0% → 0%The floor is 10 points of share, measured: how far the models move a leader on their own when the same questions are asked twice with nothing changed. A larger change is movement; a smaller one is noise, and both are shown. Movement is read over the twelve models both editions asked; GPT-6 Luna, Muse Glimmer 30B joined this edition and are in the standing but not yet in the comparison. How the floor is measured
Bars are the share of first choices, 0 to 100Every product with at least 10 labels here. Every product name links to its product page.
For buyers
All twenty-eight head-to-head pages: the top eight products, each against each
Sage Intacct vs WaveSage Intacct vs NumericSage Intacct vs XeroSage Intacct vs DigitsRillet vs Zoho BooksRillet vs Vic.aiRillet vs WaveRillet vs NumericRillet vs XeroRillet vs DigitsZoho Books vs Vic.aiZoho Books vs WaveZoho Books vs NumericZoho Books vs XeroZoho Books vs DigitsVic.ai vs WaveVic.ai vs NumericVic.ai vs XeroVic.ai vs DigitsWave vs NumericWave vs XeroWave vs DigitsNumeric vs XeroNumeric vs DigitsXero vs Digits
Recommended versus criticized
Every product with at least 10 labels here, on both axes. The 30% line names a quadrant, not the verdict above: that one needs more than 40%.
Criticized challengerCriticized default
Negative label rate →
010203040506070809101112Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative30%
Key
01Vic.ai15%
Vic.ai15%02Sage Intacct15%
Sage Intacct15%03BlackLine13%
BlackLine13%04Oracle NetSuite13%
Oracle NetSuite13%05Rillet6%
Rillet6%06Numeric4%
Numeric4%07FloQast0%
FloQast0%08Trullion0%
Trullion0%09Ramp Accounting Agent0%
Ramp Accounting Agent0%10BILL0%
BILL0%11QuickBooks Online0%
QuickBooks Online0%12Xero0%
Xero0%What they warned about
Zero of fourteen models held their first choice under the paraphrase. 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 and Muse Glimmer 30B changed. A high negative share on a product with few labels is a warning. A low share on a product with many labels is salience, not sentiment.
QuickBooks Online76%
13 of 17 labels negative · 8 of 14 models · 8 hard negative
“"platforms to avoid or scrutinize closely if you need full cloud-native infrastructure, multi-entity consolidated reporting, or full ERP capabilities"26*” Muse Glimmer 30B, negative prompt
Xero86%
12 of 14 labels negative · 7 of 14 models · 7 hard negative
“Xero is built for single-entity accounting... per-entity subscriptions scale poorly and create data silos for a group.” Muse Glimmer 30B, negative prompt
ChatGPT
100%
4 of 4 labels negative · 4 of 14 models · 4 hard negative
“Generic LLMs for Core Accounting (e.g., ChatGPT, Claude) ... should **never** be used to close books or process financial data directly.” GLM 4.7 FlashX, negative prompt
Claude100%
4 of 4 labels negative · 4 of 14 models · 4 hard negative
“Generic LLMs for Core Accounting (e.g., ChatGPT, Claude) ... should **never** be used to close books or process financial data directly.” GLM 4.7 FlashX, negative prompt
What they cite
Citations exist only for the models that return a source list: fourteen of the fourteen in this edition, and all six flagship models on the expanded tier.
Sites the answers cite
81 of 84 answers in this category came back with a source list, from 14 of 14 models: citations where the model returns them, or the search results it consulted. 1176 links across 342 sites, every framing counted. Ranked by the number of answers carrying the site or page. 4 of the 252 answers across every segment cited this index's own page for the category; the method page measures whether that reading tilts an answer.
vendor site · Numeric36 answers · 58 citations · 12 models
32 answers · 46 citations · 11 models
vendor site · Ramp32 answers · 41 citations · 11 models
vendor site · Maxima31 answers · 40 citations · 12 models
vendor site · Rillet31 answers · 40 citations · 12 models
25 answers · 40 citations · 11 models
vendor site · Fast.io24 answers · 25 citations · 11 models
vendor site · DualEntry23 answers · 24 citations · 11 models
22 answers · 22 citations · 9 models
22 answers · 22 citations · 9 models
20 answers · 20 citations · 9 models
vendor site · Trullion15 answers · 21 citations · 9 models
Pages the answers cite
The ten pages named in the most answers, by full address. A page here is one the models returned with a recommendation, not one the index endorses.
27 answers · 8 models
26 answers · 11 models
25 answers · 11 models
24 answers · 10 models
22 answers · 9 models
22 answers · 9 models
20 answers · 9 models
18 answers · 11 models
18 answers · 9 models
15 answers · 9 models
Search against answers
Each company's standing in the answers beside its site's footprint in Google search, one row a site: the products the models named on it with their shares, and the share they add up to; monthly searches on Google, and DataForSEO's estimate of AI search demand (modeled from search signals, directional, not a count of queries to any assistant), for the most-searched of the company's and its products' names (the name is in each row's hover text); estimated monthly organic visits to the site; and its best position in Google's top ten for “ai accounting tools”, “ai bookkeeping tool”, “best ai bookkeeping tool”. US estimates from DataForSEO and Google's Ads Transparency Center. A small company's site, or a mid-sized company's site for its flagship, is marked company; a product on a large parent's site (Google, Microsoft) has no site figures. A column with no figures for this category is left out, and an empty cell means none were seen, not none exist. Two measurements side by side: neither is read as the cause of the other.
| Company and products | Share | Own site cited | Name searches, Google | AI search demand, est. | Organic visits | Paid search a month, est. | Google ads, last 30 days |
|---|---|---|---|---|---|---|---|
| Vic.ai vic.ai | 15% | 93 | 720 | 0 | 1,251 | 1 | |
| Sage sage.com Sage Intacct 15% | 15% | 433 | 246,000 | 90,599 | 1,737,127 company | $114,671 | 78 |
| BlackLine blackline.com BlackLine 13%, BlackLine Agentic Financial Operations with Verity AI 2% | 15% | 425 | 27,100 | 1,255 | 28,740 | $4,066 | 79 |
| Oracle parent site Oracle NetSuite 13% | 13% | 489 | 450,000 | 66,611 | |||
| Rillet rillet.com | 6% | 39 | 8,100 | 168 | 4,712 | $4,776 | 56 |
| SAP Concur sap.com SAP S/4HANA 4%, SAP Concur 2% | 6% | 414 | 74,000 | 502 | 2,214,514 | $1,251 | 23 |
| Numeric numeric.io | 4% | 218 | 12,100 | 38,006 | 94,254 | $426 | 9 |
| Maxima maxima.ai | 4% | 12 | |||||
| Docyt docyt.com | 4% | 31 | 720 | 7 | 599 | 21 | |
| Lunos AI lunos.ai | 4% | 6 | 162 | 1 |
Google's top ten for the three searches hold 22 sites; 2 of them are among the sites the models cited here (dualentry.com, intuit.com). The first result for “ai accounting tools” is finlens.app.
How they answered
Six framings of the same buying question, each sent to every model in a fresh session with search on. One row per model, so a row shows whether it held its answer under rewording, what it named when cost was the constraint, and what it argued against. Computed from the raw judge labels.ShowHide
How they answered
Six framings of the same buying question, each sent to every model in a fresh session with search on. One row per model, so a row shows whether it held its answer under rewording, what it named when cost was the constraint, and what it argued against. Computed from the raw judge labels.
ShowHideModelDirect“What is the best AI bookkeeping tool for an enterprise B2B company?”Paraphrase“Which AI agent for accounting tasks would you recommend to a large B2B company with thousands of employees?”Comparative“What are the top enterprise-grade AI accounting tools and how do they differ?”Budget-constrained“What is the best AI bookkeeping tool for a large company that needs predictable total cost across thousands of users?”Scale-constrained“We are a 5,000 person company with SSO, SOC 2 and procurement review requirements evaluating an AI bookkeeping tool. What should we look at?”Negative“Which AI accounting tools should a large enterprise avoid or be cautious about?”
Claude Haiku 4.5Docyt, Vic.aiBlackLine, Vic.aiChangedFloQastOracle NetSuite, Sage Intacctno first choicenothing named
One alternative
Sage IntacctTwo alternatives
HighRadius, TrullionFour alternatives
BlackLine, Oracle Fusion, Sage Intacct, Vic.aiGPT-5.4 miniOracle Fusion Cloud ERPagainst: DocytWorkday Accounting Agent, Workday Financial ManagementChangedagainst: BasisOracle Fusion Cloud ERPIntuit Enterprise Suiteagainst: BILL, QuickBooks Desktop, QuickBooks Onlineno first choicenothing named
Two alternatives
BlackLine, HighRadiusOne alternative
OpenAI-based enterprise workflowsEight alternatives
Consarc, Intuit Enterprise Suite, Ledge, Maxima, Revzio, Sage Intacct, Workday Financial Management, ZipGemini 3.5 FlashRilletagainst: QuickBooks Online, XeroNumericChangedno first choiceDocyt, Vic.aino first choicenothing named
Six alternatives
Campfire, Double, Oracle NetSuite, Ramp Accounting Agent, Truewind, Vic.aiThree alternatives
Ledge, Trullion, Vic.aiThree alternatives
Dooap Studio, Noxus, YoozPerplexity SonarSage Intacct, ZeniVic.aiChangedagainst: BILLSage Intacctagainst: BILL, DocytSage Intacctagainst: Botkeeper, Digitsno first choicenothing named
Two alternatives
Oracle NetSuite, PilotThree alternatives
BlackLine, FloQast, NumericFive alternatives
Numeric, Ramp Accounting Agent, Rillet, Trullion, Vic.aiThree alternatives
Docyt, Oracle NetSuite, ZeniGrok 4.1 FastOracle NetSuiteagainst: Digits, NumericBlackLineChangedagainst: DigitsSage Intacct, Vic.aiOracle NetSuiteagainst: BILL, Booke AI, Botkeeper, Digits, Numeric, QuickBooks Online, Ramp Accounting Agent, Vic.ai, Xero, Zenino first choiceagainst: ChatGPT, Claude, FreshBooks, Gemini, Microsoft Copilot, QuickBooks Online, Xero
Four alternatives
BILL, Ramp Accounting Agent, Sage Intacct, Vic.aiTwo alternatives
Ramp Accounting Agent, Vic.aiThree alternatives
FloQast, Stampli, Zone & CoOne alternative
Sage IntacctSix alternatives
BILL, Botkeeper, Digits, Docyt, Puzzle, Ramp Accounting AgentMistral SmallVic.aiLunos AI, Vic.aiChangedSage IntacctTipaltino first choiceagainst: QuickBooks with bolt-on AI
One alternative
Booke AIFive alternatives
BILL, Numeric, QuickBooks Online, Ramp Accounting Agent, Vic.aiThree alternatives
MakersHub, Melio, RoutableDeepSeek V4 FlashOracle NetSuiteBlackLineChangedno first choiceagainst: Maxima, RilletSage Intacctagainst: Vic.aino first choiceagainst: FreshBooks, QuickBooks Onlineagainst: Indy, QuickBooks Online, Rillet, Sage products, Xero
Four alternatives
FloQast, Ramp Accounting Agent, Sage Intacct, Vic.aiSix alternatives
BILL, FloQast, Maxima, Rillet, SAP's embedded AI, Vic.aiSix alternatives
BlackLine, FloQast, Numeric, Oracle NetSuite, Sage Intacct, Vic.aiOne alternative
Ramp Accounting AgentFive alternatives
FloQast, Maxima, Numeriс, Trullion, Vic.aiLlama 4 MaverickVic.aiMaximaChangedno first choiceno first choiceno first choicenothing named
Three alternatives
Basis, BlackLine, ParaglideQwen 3.7 FlashSage IntacctLunos AIChangedNumeric, Vic.aiSAP S/4HANAagainst: BookWell, Botkeeper, QuickBooks Online, Xero, Zenino first choiceagainst: FreshBooks, QuickBooks Online Intuit, Wave, Xero
Five alternatives
BILL, BlackLine, FloQast, QuickBooks Online, Vic.aiThree alternatives
FloQast, Maxima, Vic.aiThree alternatives
BlackLine, FloQast, WithinTwo alternatives
Microsoft Dynamics 365 Finance, Oracle NetSuiteKimi K2BlackLine, Sage IntacctMaximaChangedBlackLine, Trintech Cadencyagainst: FloQastBlackLineagainst: Oracle NetSuite, QuickBooks Online, Sage Intacct, Vic.ai, Xerono first choiceagainst: ChatGPT, Claude, Oracle NetSuite, QuickBooks Online, Sage Intacct, Stampli, Xero
Three alternatives
FloQast, Oracle NetSuite, Vic.aiTwo alternatives
BlackLine, Vic.aiThree alternatives
Numeric, Vic.ai, WorkivaTwo alternatives
FloQast, Workday Financial ManagementGLM 4.7 FlashXNumeric, Oracle NetSuiteBlackLine Agentic Financial Operations with Verity AIChangedFloQast, NumericSAP Concurno first choiceagainst: ChatGPT, Claude
Four alternatives
BlackLine, Ramp Accounting Agent, Rillet, TrullionTwo alternatives
Numeric, Oracle Fusion Cloud Financial ManagementThree alternatives
Ramp Accounting Agent, Trullion, Vic.aiTwo alternatives
BookWell, Oracle NetSuiteMiniMax M2.5Oracle NetSuite, Sage IntacctBlackLine, Vic.aiChangedBlackLineOracle NetSuite, Sage Intacctagainst: Xerono first choiceagainst: Rimaagainst: ChatGPT, Claude, FreshBooks, Gemini, Microsoft Copilot, QuickBooks Online, Xero
Two alternatives
QuickBooks Online, Vic.aiTwo alternatives
FloQast, Monday.com AI AgentsFour alternatives
Numeric, Rillet, Trullion, Vic.aiOne alternative
Microsoft Dynamics 365 FinanceOne alternative
Vic.aiGPT-6 LunaRilletBlackLine VerityChangedno first choiceOracle Fusion Financials, SAP S/4HANAagainst: Intuit Enterprise Suiteno first choicenothing named
Three alternatives
BlackLine, Oracle NetSuite, Vic.aiThree alternatives
Oracle's native finance agents, UiPath, Workday Accounting AgentEight alternatives
BlackLine, Microsoft Copilot, Microsoft Dynamics 365 Finance, Oracle Fusion Cloud Financials, SAP S/4HANA Cloud + Joule, Sage Intacct, Tipalti, Workday Financial ManagementOne alternative
Oracle NetSuiteMuse Glimmer 30BRilletagainst: QuickBooks OnlineBlackLineChangedno first choiceagainst: QuickBooks Online, XeroDigitsagainst: Karbon, Numericno first choiceagainst: Basis, Intuit Enterprise Suite, QuickBooks Online, Xero
Three alternatives
Fincent, Oracle NetSuite, Sage IntacctTwo alternatives
FloQast, NumericEight alternatives
Adra, BlackLine, Bluecopa, HighRadius, Maxima, Numeric, Trintech Cadency, Vic.aiOne alternative
TofuBold is the first choiceAlternatives are counted; the count opens them.What the answer argued against
The record
One row per call: the version string exactly as returned, whether the model searched, sources cited, and latency. Full answer text is in the free responses file. Download the record
Eighty-four rows: every prompt, every model, every answer.
| Prompt | Model | Version string | Time (UTC) | Searched | Sources | Latency |
|---|---|---|---|---|---|---|
| Direct recommendation | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 10:44 | yes | 9 | 7 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 09:26 | yes | 4 | 5 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 10:34 | yes | 16 | 27 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-10-01 08:42 | yes | 17 | 3 s |
| Direct recommendation | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 11:30 | yes | 22 | 10 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 11:23 | yes | 5 | 3 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 09:11 | yes | 25 | 49 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 10:58 | yes | 5 | 2 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 10:56 | yes | 10 | 36 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 08:59 | yes | 15 | 20 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 07:52 | yes | 22 | 30 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 08:51 | yes | 10 | 17 s |
| Direct recommendation | GPT-6 Luna | gpt-6-luna | 2026-10-01 08:37 | yes | 4 | 12 s |
| Direct recommendation | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 10:19 | yes | 19 | 32 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 09:56 | yes | 17 | 9 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 07:31 | yes | 4 | 6 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 09:47 | yes | 22 | 21 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-10-01 11:24 | yes | 19 | 5 s |
| Paraphrase | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 07:46 | yes | 24 | 6 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 08:22 | yes | 5 | 3 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 07:41 | yes | 24 | 39 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 08:56 | yes | 5 | 2 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 11:15 | yes | 5 | 21 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 07:30 | yes | 18 | 20 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 11:08 | yes | 22 | 200 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 11:11 | yes | 14 | 30 s |
| Paraphrase | GPT-6 Luna | gpt-6-luna | 2026-10-01 07:47 | yes | 4 | 22 s |
| Paraphrase | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 08:56 | yes | 13 | 22 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 08:10 | yes | 10 | 7 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 08:00 | yes | 9 | 11 s |
| Comparative | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 07:45 | yes | 34 | 30 s |
| Comparative | Perplexity Sonar | sonar | 2026-10-01 09:50 | yes | 23 | 6 s |
| Comparative | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 08:21 | yes | 20 | 8 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 08:16 | yes | 9 | 7 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 11:24 | yes | 24 | 43 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 09:36 | yes | 5 | 2 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 07:49 | yes | 9 | 48 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 07:38 | yes | 25 | 26 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 10:54 | yes | 19 | 39 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 09:15 | yes | 12 | 24 s |
| Comparative | GPT-6 Luna | gpt-6-luna | 2026-10-01 08:06 | yes | 7 | 32 s |
| Comparative | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 11:24 | yes | 15 | 45 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 08:30 | yes | 17 | 8 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 10:17 | yes | 4 | 5 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 08:13 | yes | 17 | 28 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-10-01 08:28 | yes | 20 | 3 s |
| Budget constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 10:20 | yes | 23 | 10 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 11:02 | yes | 10 | 6 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 07:43 | yes | 24 | 25 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 08:18 | yes | 5 | 2 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 09:44 | yes | 22 | 217 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 11:22 | yes | 18 | 23 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 08:06 | yes | 19 | 114 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 11:19 | yes | 18 | 38 s |
| Budget constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 10:58 | yes | 3 | 17 s |
| Budget constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 09:34 | yes | 20 | 31 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 11:16 | yes | 18 | 13 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 07:55 | no | 0 | 8 s |
| Scale constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 08:39 | yes | 9 | 30 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-10-01 08:37 | yes | 19 | 6 s |
| Scale constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 09:02 | yes | 19 | 8 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 07:40 | no | 0 | 7 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 09:58 | yes | 23 | 48 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 11:25 | yes | 5 | 3 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 08:44 | no | 0 | 36 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 08:53 | yes | 10 | 31 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 08:26 | yes | 14 | 35 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 08:59 | yes | 9 | 17 s |
| Scale constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 09:59 | yes | 3 | 18 s |
| Scale constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 11:10 | yes | 14 | 35 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 08:29 | yes | 19 | 19 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 10:35 | yes | 6 | 8 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 07:37 | yes | 15 | 27 s |
| Negative framing | Perplexity Sonar | sonar | 2026-10-01 08:34 | yes | 21 | 4 s |
| Negative framing | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 10:02 | yes | 23 | 9 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 07:39 | yes | 12 | 8 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 09:08 | yes | 24 | 42 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 08:40 | yes | 5 | 2 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 07:41 | yes | 8 | 32 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 10:04 | yes | 24 | 39 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 11:12 | yes | 24 | 42 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 08:23 | yes | 5 | 14 s |
| Negative framing | GPT-6 Luna | gpt-6-luna | 2026-10-01 07:44 | yes | 2 | 29 s |
| Negative framing | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 08:18 | yes | 25 | 34 s |
Normalization in this category
Every judgment call made between the raw labels and the numbers above, listed so it is visible and reversible.
ShowHide
Category-scoped readings
Acumatica read as Acumatica Cloud ERP
Bill.com read as BILL
Booke read as Booke AI
NetSuite read as Oracle NetSuite
QuickBooks read as QuickBooks Online
QuickBooks Enterprise read as QuickBooks Online
Ramp read as Ramp Accounting Agent
Ramp (Enterprise Tier) read as Ramp Accounting Agent
Workday read as Workday Financial Management
Unresolved, counted raw
Azure OpenAI
BlackLine Agentic Financial Operations with Verity AI
BlackLine Verity
Consarc
Dooap Studio
Fincent
Intuit
Monday.com AI Agents
Numeriс
OpenAI-based enterprise workflows
Oracle AI in NetSuite
Oracle Fusion Financials
Oracle's NetSuite
Oracle's native finance agents
Oracle’s embedded AI
QuickBooks Online Intuit
QuickBooks with bolt-on AI
Revzio
Rima
SAP Business AI
SAP S/4HANA Cloud + Joule
SAP's embedded AI
SAP’s Joule
Sage products
Within (formerly Klarity)
Zeni AI bookkeeping
Discontinued, still offered
No shut-down product was recommended here.