Financial modeling and scenario planning for small business buyers
Asked as “financial modeling software”, and as “scenario planning tool for finance”, on behalf of a small B2B company. 59 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each.
Standing · first-choice share
19%
Contested · Microsoft Excel 14%
19Google Sheets14Microsoft Excel12Fathom56others
19% of first choices, contested.
Since September 2026↗new leaderNew leader since September 2026: Google Sheets (16%) replaces Clockwork (12% then, 2% now), 14 points clear, past the 10-point floor.Google Sheets leads at 16%, replacing Clockwork, which led at 12% and stands at 2% now: 14 points clear, past the 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
Google Sheets19%Contested↗new leaderNew leader since September 2026: Google Sheets (16%) replaces Clockwork (12% then, 2% now), 14 points clear, past the 10-point floor.This pageMid-market
Microsoft Excel14%Contested↗new leaderNew leader since September 2026: Cube (12%) replaces Datarails (19% then, 11% now), 2 points clear, inside the 10-point floor.Standing →Enterprise
Anaplan57%Clear leader▼−1Since September 2026: 56% → 56%, −1 point. Inside the 10-point floor: within noise. Read over the models both editions asked.Standing →
Google Sheets19%Contested↗new leaderNew leader since September 2026: Google Sheets (16%) replaces Clockwork (12% then, 2% now), 14 points clear, past the 10-point floor.This pageMid-marketMicrosoft Excel14%Contested↗new leaderNew leader since September 2026: Cube (12%) replaces Datarails (19% then, 11% now), 2 points clear, inside the 10-point floor.Standing →EnterpriseAnaplan57%Clear leader▼−1Since September 2026: 56% → 56%, −1 point. Inside the 10-point floor: within noise. Read over the models both editions asked.Standing →The standing
Share is the count of first choices across the direct, paraphrase, budget and scale prompts, over all fourteen models, for a small B2B company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrantSince September 2026
01Google Sheets Lab in the set19%0%15accepted challenger▲+8Since September 2026: 8% → 16%, +8 points. Inside the 10-point floor: within noise. Read over the models both editions asked.8% → 16%
Google Sheets Lab in the set19%0%15accepted challenger▲+8Since September 2026: 8% → 16%, +8 points. Inside the 10-point floor: within noise. Read over the models both editions asked.8% → 16%02Microsoft Excel14%18%22accepted challenger▲+6Since September 2026: 6% → 12%, +6 points. Inside the 10-point floor: within noise. Read over the models both editions asked.6% → 12%
Microsoft Excel14%18%22accepted challenger▲+6Since September 2026: 6% → 12%, +6 points. Inside the 10-point floor: within noise. Read over the models both editions asked.6% → 12%03
Fathom12%0%19accepted challenger▲+8Since September 2026: 6% → 14%, +8 points. Inside the 10-point floor: within noise. Read over the models both editions asked.6% → 14%
Fathom12%0%19accepted challenger▲+8Since September 2026: 6% → 14%, +8 points. Inside the 10-point floor: within noise. Read over the models both editions asked.6% → 14%04
Jirav10%19%26accepted challenger▲+6Since September 2026: 6% → 12%, +6 points. Inside the 10-point floor: within noise. Read over the models both editions asked.6% → 12%
Jirav10%19%26accepted challenger▲+6Since September 2026: 6% → 12%, +6 points. Inside the 10-point floor: within noise. Read over the models both editions asked.6% → 12%05
Cube3%10%21accepted challenger▼−2Since September 2026: 6% → 4%, −2 points. Inside the 10-point floor: within noise. Read over the models both editions asked.6% → 4%
Cube3%10%21accepted challenger▼−2Since September 2026: 6% → 4%, −2 points. Inside the 10-point floor: within noise. Read over the models both editions asked.6% → 4%06
Datarails3%6%17accepted challenger▲+2Since September 2026: 2% → 4%, +2 points. Inside the 10-point floor: within noise. Read over the models both editions asked.2% → 4%
Datarails3%6%17accepted challenger▲+2Since September 2026: 2% → 4%, +2 points. Inside the 10-point floor: within noise. Read over the models both editions asked.2% → 4%07
LivePlan3%0%12accepted challenger▼−8Since September 2026: 10% → 2%, −8 points. Inside the 10-point floor: within noise. Read over the models both editions asked.10% → 2%
LivePlan3%0%12accepted challenger▼−8Since September 2026: 10% → 2%, −8 points. Inside the 10-point floor: within noise. Read over the models both editions asked.10% → 2%08
Futrli3%0%11accepted challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 10-point floor: within noise. Read over the models both editions asked.0% → 2%
Futrli3%0%11accepted challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 10-point floor: within noise. Read over the models both editions asked.0% → 2%09
Finmark3%22%18accepted challenger▼−4Since September 2026: 6% → 2%, −4 points. Inside the 10-point floor: within noise. Read over the models both editions asked.6% → 2%
Finmark3%22%18accepted challenger▼−4Since September 2026: 6% → 2%, −4 points. Inside the 10-point floor: within noise. Read over the models both editions asked.6% → 2%Show the one product at 0%, ordered by negative rate
10Anaplan0%93%14criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.0% → 0%
Anaplan0%93%14criticized 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.
Google Sheets is made by Google, whose model Gemini 3.5 Flash is in the set. On the four share prompts that model made it the first choice zero times of 4; the other thirteen models eleven times of 52. Lab treatment is defined on the method page; the row is marked, not excluded.
For buyers
All twenty-eight head-to-head pages: the top eight products, each against each
Microsoft Excel vs Google SheetsMicrosoft Excel vs DrivetrainMicrosoft Excel vs ProphixMicrosoft Excel vs Workday Adaptive PlanningCube vs VenaCube vs DatarailsCube vs Google SheetsCube vs DrivetrainCube vs ProphixCube vs Workday Adaptive PlanningVena vs DatarailsVena vs Google SheetsVena vs DrivetrainVena vs ProphixVena vs Workday Adaptive PlanningDatarails vs Google SheetsDatarails vs DrivetrainDatarails vs ProphixDatarails vs Workday Adaptive PlanningGoogle Sheets vs DrivetrainGoogle Sheets vs ProphixGoogle Sheets vs Workday Adaptive PlanningDrivetrain vs ProphixDrivetrain vs Workday Adaptive PlanningProphix vs Workday Adaptive Planning
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 →
01020304050607080910Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative30%
Key
01Google Sheets19%
Google Sheets19%02Microsoft Excel14%
Microsoft Excel14%03Fathom12%
Fathom12%04Jirav10%
Jirav10%05Cube3%
Cube3%06Datarails3%
Datarails3%07LivePlan3%
LivePlan3%08Futrli3%
Futrli3%09Finmark3%
Finmark3%10Anaplan0%
Anaplan0%What they warned about
One 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, 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.
Anaplan93%
13 of 14 labels negative · 8 of 14 models · 7 hard negative
“**Avoid or Be Cautious About:** **Enterprise Performance Management (EPM) Suites** (e.g., *Anaplan, Workday Adaptive Planning, Oracle Hyperion, SAP BPC*).” Gemini 3.5 Flash, negative prompt
Jirav19%
5 of 26 labels negative · 5 of 14 models
“**Jirav** is better suited to operational planning, but it is typically more than a very small business needs.” Perplexity Sonar, paraphrase prompt
Workday Adaptive Planning75%
6 of 8 labels negative · 4 of 14 models · 5 hard negative
“Enterprise platforms like Anaplan, Oracle Essbase, or Adaptive Planning**: Expensive subscriptions” Grok 4.1 Fast, negative prompt
Microsoft Excel18%
4 of 22 labels negative · 4 of 14 models · 1 hard negative
“Spreadsheet-based solutions like Excel are unwieldy, cumbersome, and incredibly prone to human error” Claude Haiku 4.5, 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
74 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. 959 links across 301 sites, every framing counted. Ranked by the number of answers carrying the site or page. 2 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 · Drivetrain39 answers · 49 citations · 12 models
vendor site · Abacum28 answers · 28 citations · 12 models
vendor site · Cubesoftware26 answers · 31 citations · 13 models
24 answers · 32 citations · 10 models
vendor site · Datarails24 answers · 31 citations · 12 models
23 answers · 32 citations · 11 models
17 answers · 17 citations · 10 models
vendor site · G216 answers · 21 citations · 8 models
vendor site · Fuelfinance15 answers · 15 citations · 10 models
14 answers · 17 citations · 7 models
vendor site · Sourceforge13 answers · 18 citations · 9 models
12 answers · 21 citations · 8 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.
36 answers · 12 models
24 answers · 10 models
22 answers · 10 models
22 answers · 12 models
19 answers · 10 models
17 answers · 10 models
11 answers · 9 models
10 answers · 8 models
9 answers · 8 models
9 answers · 8 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 “best financial modeling software”, “financial modeling software”, “modeling tools”. 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 | Best Google position |
|---|---|---|---|---|---|---|---|---|
| Google Sheets google.com | 19% | 100 | 3,350,000 | 53,730 | 1,800,358,416 | $465,944 | 5 | |
| Microsoft Excel microsoft.com | 14% | 137 | 135,000 | 4,387 | 145,358,109 | $12,455 | 103 | |
| Fathom fathomhq.com | 12% | 204 | 90,500 | 6,657 | 74,881 | 38 | 3 | |
| Jirav jirav.com | 10% | 151 | 720 | 15 | 3,780 | 2 | ||
| Float floatapp.com | 7% | 139 | 60,500 | 177,387 | 11,199 | 2 | ||
| BILL bill.com Finmark 3%, BILL 3% | 7% | 444 | 2,740,000 | 1,063,001 | 1,783,039 | $199,231 | 119 | |
| Causal lucanet.com | 5% | 26 | 49,500 | 3,471 | 342 | |||
| Cube cubesoftware.com | 3% | 349 | 90,500 | 152,613 | 168,764 | 13 | 4 | |
| Datarails datarails.com | 3% | 303 | 6,600 | 134 | 18,964 | $16,697 | 107 | |
| LivePlan liveplan.com | 3% | 28 | 4,400 | 95 | 216,928 | 32 |
Google's top ten for the three searches hold 21 sites; 4 of them are among the sites the models cited here (abacum.ai, cubesoftware.com, drivetrain.ai, fathomhq.com). The first result for “best financial modeling software” is intl.finebi.com.
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 financial modeling software for a small B2B company?”Paraphrase“Which scenario planning tool for finance would you recommend to a small business that sells to other businesses?”Comparative“What are the top modeling tools for a small team and how do they differ?”Budget-constrained“What is the best financial modeling software for a small company with a tight budget?”Scale-constrained“We are a 30 person company evaluating a financial modeling software. What should we look at?”Negative“Which modeling tools should a small business avoid or be cautious about?”
Claude Haiku 4.5DrivetrainDatarailsChangedno first choiceJirav, LivePlanno first choiceagainst: Bizagi, Camunda, Microsoft Excel, ProcessMaker, SAP Signavio
Five alternatives
Cube, Datarails, Fathom, Finmark, LivePlanTwo alternatives
Cube, VenaThree alternatives
Finmark, Google Sheets, Microsoft ExcelGPT-5.4 miniCubeCausalChangedno first choiceGoogle Sheets, Microsoft Excelagainst: Datarails, Planfulno first choicenothing named
Two alternatives
Datarails, JiravFour alternatives
Datarails, LiveFlow, Planful, RunwayThree alternatives
BILL, Cube, FinmarkGemini 3.5 FlashClockworkDryrunChangedno first choiceFathomagainst: Causal, Clockwork, Jirav, Mosaic, PlanfulParallel, Runwayagainst: Anaplan, Workday Adaptive Planningagainst: Anaplan, Oracle Hyperion, SAP BPC, Workday Adaptive Planning
Five alternatives
Cube, Jirav, LiveFlow, Lucanet xP&A, RunwayThree alternatives
Causal, Finmark, JiravThree alternatives
Excel or Google Sheets, G-Accon, Syft AnalyticsThree alternatives
Causal, Cube, JiravPerplexity SonarJiravFathomChangedagainst: JiravMicrosoft ExcelGoogle Sheets, Microsoft Excelno first choiceagainst: Anaplan, Microsoft Excel
Three alternatives
Cube, Datarails, FinmarkOne alternative
LivePlanFive alternatives
Forecastr, LiveFlow, PlanGuru, QuickBooks, XeroGrok 4.1 FastBILL, FathomFloatChangedagainst: Anaplan, Pigmentno first choiceGoogle Sheets, Microsoft ExcelFathom, Syftagainst: Anaplanagainst: Anaplan, Excel/Google Sheets, Oracle Essbase, SAP, Workday Adaptive Planning
Three alternatives
Cube, Datarails, JiravFour alternatives
Dryrun, Fathom, Pulse, RunwayThree alternatives
Budgyt, PlanGuru, UpmetricsFour alternatives
Cube, Drivetrain, Fuelfinance, Spotlight ReportingMistral SmallBILL, JiravFutrliChangedno first choiceGoogle Sheets, Microsoft Excelno first choiceagainst: Anaplan
Two alternatives
Planful, Sage IntacctTwo alternatives
Datarails, LimelightOne alternative
EasyFinancialModelsDeepSeek V4 FlashFathomagainst: FinmarkFathomHeldagainst: JiravDbSchemaagainst: Erwin Data Modeler, LucidchartPlanGuruagainst: Cube, FinmarkCausalagainst: Cubenothing named
Three alternatives
Excel/Google Sheets, Futrli, JiravTwo alternatives
Float, FutrliFour alternatives
DBeaver, DrawSQL, SqlDBM, dbdiagram.ioThree alternatives
Brixx, Financial Modelling Pro, JiravThree alternatives
Budgyt, Fathom, FinmarkLlama 4 Maverickno first choiceCubeChangedno first choiceFinmarkno first choiceagainst: Pigment
Three alternatives
Fathom, Futrli, Syft AnalyticsTwo alternatives
LiveFlow, Microsoft ExcelQwen 3.7 FlashJiravagainst: Anaplan, FinmarkProfit FrogChangedagainst: Anaplan, Oracle Hyperionno first choiceGoogle Sheets, Microsoft Excelno first choiceagainst: Microsoft Excel, Oracle, SAPagainst: AnyLogic, Appian, Cameo System Modeler, Capers Jones Analysis, IBM Blueworks Live, MapleSim, OmniGraffle, Pega, Sparx Systems Enterprise Architect, Visio
Five alternatives
Cube, Datarails, Google Sheets, Microsoft Excel, MosaicTwo alternatives
Datarails, Microsoft ExcelTwo alternatives
Float, LivePlanKimi K2Causal, FathomJiravChangedagainst: Anaplan, Excel-only solutions, Workday Adaptive Planningno first choiceGoogle Sheetsno first choiceagainst: Anaplan, Planful, Quantrix Modeler
Five alternatives
Cube, Datarails, Excel/Google Sheets, Finmark, FutrliTwo alternatives
Fathom, FutrliThree alternatives
Financial Modeling Pro, Microsoft Excel, UniflowGLM 4.7 FlashXDatarailsagainst: BILL, Finmark, JiravFloatChangedno first choiceGoogle Sheetsno first choiceagainst: Anaplan, Host Analytics, Looker, Microsoft Power BI, Oracle Hyperion, SAP Analytics Cloud, Tableau, Workday Adaptive Planning
Two alternatives
Fuelfinance, LiveFlowTwo alternatives
Fathom, FutrliFour alternatives
Cube, Finmark, LibreOffice Calc, Microsoft ExcelMiniMax M2.5Jiravagainst: PlanfulFloatChangedno first choiceGoogle Sheets, Microsoft Excelno first choiceagainst: Anaplan, S&P Capital IQ
Three alternatives
Brixx, Excel/Google Sheets, Financial Modelling ProThree alternatives
Chaser, Fathom, FutrliFive alternatives
Float, LibreOffice Calc, LivePlan, PlanGuru, Quantrix ModelerGPT-6 LunaGoogle Sheets, Microsoft Excelagainst: Clockwork, JiravLivePlanChangedno first choiceGoogle Sheetsno first choicenothing named
One alternative
LivePlanOne alternative
JiravTwo alternatives
LivePlan, Microsoft ExcelMuse Glimmer 30BFinmark, FutrliFloatChangedno first choiceGoogle Sheets, Microsoft Excelno first choiceagainst: DbSchema, Lucidchart, Microsoft Excel, Navicat Data Modeler, Tableau
Three alternatives
Cube, Datarails, JiravTwo alternatives
Futrli, LivePlanFour alternatives
EasyFinancialModels, Financial Modelling Pro, Finmark, UniflowBold 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 10:05 | yes | 9 | 6 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 10:57 | yes | 4 | 6 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 07:46 | yes | 16 | 25 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-10-01 10:13 | yes | 20 | 4 s |
| Direct recommendation | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 10:45 | yes | 17 | 8 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 09:04 | yes | 5 | 4 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 08:47 | yes | 21 | 20 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 10:18 | yes | 5 | 2 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 10:58 | yes | 12 | 29 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 09:39 | yes | 7 | 17 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 09:08 | yes | 21 | 182 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 08:53 | yes | 19 | 48 s |
| Direct recommendation | GPT-6 Luna | gpt-6-luna | 2026-10-01 08:44 | yes | 3 | 17 s |
| Direct recommendation | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 08:57 | yes | 11 | 21 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 08:08 | yes | 9 | 6 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 10:06 | yes | 4 | 5 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 07:51 | yes | 15 | 30 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-10-01 08:08 | yes | 18 | 4 s |
| Paraphrase | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 07:44 | yes | 19 | 6 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 08:10 | yes | 5 | 3 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 11:11 | yes | 22 | 23 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 08:29 | yes | 5 | 2 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 08:08 | yes | 15 | 46 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 09:54 | yes | 19 | 17 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 11:00 | yes | 15 | 55 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 09:15 | yes | 11 | 38 s |
| Paraphrase | GPT-6 Luna | gpt-6-luna | 2026-10-01 08:28 | yes | 2 | 15 s |
| Paraphrase | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 11:24 | yes | 13 | 18 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 09:19 | yes | 9 | 8 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 10:02 | yes | 6 | 8 s |
| Comparative | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 09:10 | yes | 14 | 27 s |
| Comparative | Perplexity Sonar | sonar | 2026-10-01 08:28 | yes | 19 | 6 s |
| Comparative | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 08:28 | yes | 24 | 13 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 09:19 | yes | 5 | 7 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 11:22 | yes | 21 | 53 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 10:13 | yes | 5 | 2 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 09:26 | no | 0 | 32 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 08:45 | yes | 24 | 42 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 09:50 | yes | 22 | 44 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 09:27 | yes | 5 | 72 s |
| Comparative | GPT-6 Luna | gpt-6-luna | 2026-10-01 10:20 | no | 0 | 3 s |
| Comparative | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 08:44 | yes | 25 | 41 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 09:16 | yes | 9 | 8 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 11:20 | yes | 3 | 4 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 08:12 | yes | 21 | 24 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-10-01 09:43 | yes | 21 | 6 s |
| Budget constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 07:36 | yes | 24 | 8 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 11:12 | yes | 8 | 4 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 10:03 | yes | 25 | 18 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 08:23 | yes | 5 | 1 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 08:37 | no | 0 | 36 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 11:27 | yes | 14 | 22 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 11:20 | yes | 15 | 59 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 10:33 | no | 0 | 6 s |
| Budget constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 09:05 | yes | 2 | 14 s |
| Budget constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 08:46 | yes | 13 | 43 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 10:49 | no | 0 | 5 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 10:03 | no | 0 | 8 s |
| Scale constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 08:39 | yes | 7 | 26 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-10-01 08:28 | yes | 26 | 3 s |
| Scale constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 08:05 | yes | 15 | 8 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 08:23 | no | 0 | 6 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 09:41 | yes | 22 | 36 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 11:15 | yes | 5 | 2 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 09:54 | no | 0 | 27 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 08:17 | yes | 9 | 30 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 08:48 | yes | 11 | 16 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 09:59 | no | 0 | 7 s |
| Scale constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 10:37 | yes | 2 | 16 s |
| Scale constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 10:47 | yes | 12 | 26 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 09:45 | yes | 9 | 7 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 09:27 | yes | 3 | 4 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 08:57 | yes | 9 | 24 s |
| Negative framing | Perplexity Sonar | sonar | 2026-10-01 11:17 | yes | 20 | 4 s |
| Negative framing | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 08:24 | yes | 23 | 8 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 09:47 | yes | 5 | 7 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 09:07 | yes | 25 | 39 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 11:07 | yes | 5 | 2 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 10:20 | no | 0 | 30 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 10:26 | yes | 24 | 33 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 09:56 | yes | 23 | 56 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 10:17 | yes | 8 | 21 s |
| Negative framing | GPT-6 Luna | gpt-6-luna | 2026-10-01 09:23 | yes | 2 | 11 s |
| Negative framing | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 09:15 | yes | 13 | 30 s |
Normalization in this category
Every judgment call made between the raw labels and the numbers above, listed so it is visible and reversible.
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Category-scoped readings
Adaptive Insights read as Workday Adaptive Planning
Clockwork.ai read as Clockwork
Excel read as Microsoft Excel
Microsoft Visio (Desktop Version) read as Visio
Quantrix read as Quantrix Modeler
QuickBooks Online read as QuickBooks
QuickBooks Online Advanced read as QuickBooks
Vena Solutions read as Vena
Workday read as Workday Adaptive Planning
Workday Adaptive read as Workday Adaptive Planning
Unresolved, counted raw
AnyLogic
Appian
Bizagi
Blox
Cameo System Modeler
Capers Jones Analysis
DBeaver
DrawSQL
Excel-only solutions
Financial Modeling Pro
Firefly III
Iris Finance
MapleSim
OmniGraffle (macOS desktop)
Pega
ProcessMaker
Profit Frog
S&P Capital IQ
Xero Plan
Discontinued, still offered
No shut-down product was recommended here.