Financial modeling and scenario planning
Asked as “financial modeling software”, and as “scenario planning tool for finance”, on behalf of a mid-market B2B company. 57 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each.
Standing · first-choice share
19%
Contested · Datarails 16%
19Microsoft Excel16Datarails12Google Sheets53others
19% of first choices, contested.
Since October 2026▲+5Since October 2026: 14% → 19%, +5 points. Inside the 10-point floor: within noise.Microsoft Excel held the lead, +5 points on 14%, 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
Microsoft Excel22%Contested↗new leaderNew leader since October 2026: Microsoft Excel (22%) replaces Google Sheets (19% then, 22% now), 0 points clear, inside the 10-point floor.Standing →Mid-marketMicrosoft Excel19%Contested▲+5Since October 2026: 14% → 19%, +5 points. Inside the 10-point floor: within noise.This pageEnterprise
Anaplan59%Clear leader▲+3Since October 2026: 56% → 59%, +3 points. Inside the 10-point floor: within noise.Standing →
Microsoft Excel22%Contested↗new leaderNew leader since October 2026: Microsoft Excel (22%) replaces Google Sheets (19% then, 22% now), 0 points clear, inside the 10-point floor.Standing →Mid-marketMicrosoft Excel19%Contested▲+5Since October 2026: 14% → 19%, +5 points. Inside the 10-point floor: within noise.This pageEnterpriseAnaplan59%Clear leader▲+3Since October 2026: 56% → 59%, +3 points. Inside the 10-point floor: within noise.Standing →The standing
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. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrantSince October 2026
01Microsoft Excel19%16%19accepted challenger▲+5Since October 2026: 14% → 19%, +5 points. Inside the 10-point floor: within noise.14% → 19%
Microsoft Excel19%16%19accepted challenger▲+5Since October 2026: 14% → 19%, +5 points. Inside the 10-point floor: within noise.14% → 19%02
Datarails16%0%27accepted challenger▲+5Since October 2026: 11% → 16%, +5 points. Inside the 10-point floor: within noise.11% → 16%
Datarails16%0%27accepted challenger▲+5Since October 2026: 11% → 16%, +5 points. Inside the 10-point floor: within noise.11% → 16%03
Google Sheets Lab in the set12%0%10accepted challenger▲+3Since October 2026: 9% → 12%, +3 points. Inside the 10-point floor: within noise.9% → 12%
Google Sheets Lab in the set12%0%10accepted challenger▲+3Since October 2026: 9% → 12%, +3 points. Inside the 10-point floor: within noise.9% → 12%04
Pigment9%0%23accepted challenger▲+7Since October 2026: 2% → 9%, +7 points. Inside the 10-point floor: within noise.2% → 9%
Pigment9%0%23accepted challenger▲+7Since October 2026: 2% → 9%, +7 points. Inside the 10-point floor: within noise.2% → 9%05
Workday Adaptive Planning9%20%20accepted challenger▲+3Since October 2026: 6% → 9%, +3 points. Inside the 10-point floor: within noise.6% → 9%
Workday Adaptive Planning9%20%20accepted challenger▲+3Since October 2026: 6% → 9%, +3 points. Inside the 10-point floor: within noise.6% → 9%06
Prophix One7%0%14accepted challenger▲+1Since October 2026: 6% → 7%, +1 point. Inside the 10-point floor: within noise.6% → 7%
Prophix One7%0%14accepted challenger▲+1Since October 2026: 6% → 7%, +1 point. Inside the 10-point floor: within noise.6% → 7%07
Cube5%0%26accepted challenger▼−7Since October 2026: 12% → 5%, −7 points. Inside the 10-point floor: within noise.12% → 5%
Cube5%0%26accepted challenger▼−7Since October 2026: 12% → 5%, −7 points. Inside the 10-point floor: within noise.12% → 5%08
Vena2%5%22accepted challenger▼−10Since October 2026: 12% → 2%, −10 points. Past the 10-point floor: movement.12% → 2%
Vena2%5%22accepted challenger▼−10Since October 2026: 12% → 2%, −10 points. Past the 10-point floor: movement.12% → 2%09
Planful2%5%21accepted challenger▼−1Since October 2026: 3% → 2%, −1 point. Inside the 10-point floor: within noise.3% → 2%
Planful2%5%21accepted challenger▼−1Since October 2026: 3% → 2%, −1 point. Inside the 10-point floor: within noise.3% → 2%10
Jirav2%13%15accepted challenger=heldSince October 2026: 2% → 2%, ±0 points. Inside the 10-point floor: within noise.2% → 2%
Jirav2%13%15accepted challenger=heldSince October 2026: 2% → 2%, ±0 points. Inside the 10-point floor: within noise.2% → 2%Show the one product at 0%, ordered by negative rate
11Anaplan0%60%25criticized challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise.0% → 0%
Anaplan0%60%25criticized challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise.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 can't be told apart from repeat variation, and both are shown. Each index measures its own floor from its own repeat, over its own categories, so the floor differs from one index to the next. Both editions asked the same fourteen models. 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 one time of 4; the other thirteen models six 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 Workday Adaptive PlanningMicrosoft Excel vs Prophix OneMicrosoft Excel vs CubeMicrosoft Excel vs VenaDatarails vs Google SheetsDatarails vs PigmentDatarails vs Workday Adaptive PlanningDatarails vs Prophix OneDatarails vs CubeDatarails vs VenaGoogle Sheets vs PigmentGoogle Sheets vs Workday Adaptive PlanningGoogle Sheets vs Prophix OneGoogle Sheets vs CubeGoogle Sheets vs VenaPigment vs Workday Adaptive PlanningPigment vs Prophix OnePigment vs CubePigment vs VenaWorkday Adaptive Planning vs Prophix OneWorkday Adaptive Planning vs CubeWorkday Adaptive Planning vs VenaProphix One vs CubeProphix One vs VenaCube vs Vena
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 →
0102030405060708091011Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative30%
Key
01Microsoft Excel19%
Microsoft Excel19%02Datarails16%
Datarails16%03Google Sheets12%
Google Sheets12%04Pigment9%
Pigment9%05Workday Adaptive Planning9%
Workday Adaptive Planning9%06Prophix One7%
Prophix One7%07Cube5%
Cube5%08Vena2%
Vena2%09Planful2%
Planful2%10Jirav2%
Jirav2%11Anaplan0%
Anaplan0%What they warned about
One of fourteen models held their first choice under the paraphrase. Claude Haiku 4.5, GPT-5.4 mini, Perplexity Sonar, Grok 4.20, 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.
Anaplan60%
15 of 25 labels negative · 9 of 14 models · 4 hard negative
“Skip These for a Mid-Sized B2B Company - Anaplan — Enterprise pricing (~$115K+) and 6+ month implementations are overkill” DeepSeek V4 Flash, paraphrase prompt
Workday Adaptive Planning20%
4 of 20 labels negative · 3 of 14 models · 2 hard negative
“Skip enterprise platforms like Anaplan, OneStream, Oracle EPM, or Workday Adaptive Planning” DeepSeek V4 Flash, budget prompt
OneStream60%
3 of 5 labels negative · 2 of 14 models · 2 hard negative
“Skip enterprise platforms like Anaplan, OneStream, Oracle EPM, or Workday Adaptive Planning” DeepSeek V4 Flash, budget prompt
Microsoft Excel16%
3 of 19 labels negative · 2 of 14 models · 1 hard negative
“avoid for production models—use R, Python (pandas/statsmodels), or dedicated software like Stata/R for rigor” Grok 4.20, negative prompt
What they cite
Fourteen of the fourteen models returned a source list in this edition: five return the pages they cited and nine the search results they consulted.
Sites the answers cite
67 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. 653 links across 246 sites, every framing counted. Ranked by the number of answers carrying the site or page. 21 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 · Datarails24 answers · 34 citations · 11 models
15 answers · 22 citations · 8 models
vendor site · Fuelfinance15 answers · 17 citations · 9 models
13 answers · 20 citations · 8 models
vendor site · Prophix12 answers · 20 citations · 7 models
12 answers · 16 citations · 8 models
vendor site · Abacum10 answers · 15 citations · 5 models
vendor site · Centage10 answers · 11 citations · 8 models
10 answers · 10 citations · 6 models
vendor site · Sourceforge9 answers · 10 citations · 6 models
vendor site · Drivetrain9 answers · 9 citations · 5 models
8 answers · 8 citations · 6 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.
24 answers · 11 models
9 answers · 5 models
8 answers · 7 models
8 answers · 5 models
7 answers · 5 models
7 answers · 7 models
7 answers · 7 models
7 answers · 5 models
6 answers · 6 models
6 answers · 5 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 |
|---|---|---|---|---|---|---|---|---|
| Microsoft Excel microsoft.com | 19% | 148 | 135,000 | 4,387 | 145,358,109 | $12,455 | 103 | |
| Datarails datarails.com | 16% | 374 | 6,600 | 134 | 18,964 | $16,697 | 107 | |
| Google Sheets google.com | 12% | 112 | 3,350,000 | 53,730 | 1,800,358,416 | $465,944 | 5 | |
| Pigment pigment.com | 9% | 198 | 49,500 | 25,645 | 12,248 | 22 | ||
| Workday workday.com Workday Adaptive Planning 9% | 9% | 430 | 1,220,000 | 23,848 | 2,213,450 company | 80 | ||
| Prophix prophix.com Prophix One 7% | 7% | 107 | 1,600 | 41 | 14,138 company | $109 | 103 | 4 |
| Cube cubesoftware.com | 5% | 304 | 90,500 | 152,613 | 168,764 | 13 | 4 | |
| Limelight golimelight.com | 4% | 49 | 49,500 | 4,546 | 4,750 | 0 | ||
| Mosaic mosaic.tech | 4% | 45 | 165,000 | 34,052 | 27 | |||
| Vena venasolutions.com | 2% | 404 | 12,100 | 3,928 | 62,294 | $13,792 | 58 |
Google's top ten for the three searches hold 21 sites; 4 of them are among the sites the models cited here (abacum.ai, drivetrain.ai, prophix.com, reddit.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 mid-market B2B company?”Paraphrase“Which scenario planning tool for finance would you recommend to a mid-sized B2B company?”Comparative“What are the top modeling tools and how do they differ?”Budget-constrained“What is the best financial modeling software for a company with a limited budget?”Scale-constrained“We are a 500 person company evaluating a financial modeling software. What should we look at?”Negative“Which modeling tools should I avoid or be cautious about?”
Claude Haiku 4.5DatarailsPlanful, Prophix OneChangedno first choiceLivePlanno first choicenothing named
Four alternatives
Cube, Drivetrain, Pigment, PlanfulTwo alternatives
Cube, Workday Adaptive PlanningFour alternatives
Causal, Fathom, Google Sheets, Microsoft ExcelGPT-5.4 miniPigment, Workday Adaptive PlanningWorkday Adaptive PlanningChangedagainst: Microsoft Excelno first choiceGoogle Sheets, Microsoft Excelagainst: Anaplan, Workday Adaptive Planningno first choicenothing named
Two alternatives
Anaplan, VenaThree alternatives
Anaplan, Oracle NetSuite Planning and Budgeting, PigmentFour alternatives
Datarails, IBM Planning Analytics, LiveFlow, ParallelGemini 3.5 FlashMosaicagainst: Anaplan, Oracle HyperionMosaicHeldno first choiceGoogle Sheets, Microsoft Excelno first choiceagainst: Anaplannothing named
Five alternatives
Cube, Datarails, Pigment, Vena, Workday Adaptive PlanningFour alternatives
Cube, Pigment, Planful, VenaEight alternatives
Brixx, Causal, Christoph Janz SaaS Financial Model, Clockwork, EasyFinancialModels, Fathom, Foresight Mobile & SaaS Templates, LivePlanSix alternatives
Cube, Datarails, Pigment, Planful, Vena, Workday Adaptive PlanningPerplexity SonarDrivetrainagainst: Workday Adaptive PlanningWorkday Adaptive PlanningChangedagainst: Anaplanno first choiceGoogle Sheets, Microsoft Excelagainst: Jiravno first choicenothing named
Four alternatives
Abacum, Datarails, Limelight, VenaFour alternatives
Centage Planning Maestro, Cube, Pigment, UpflowFour alternatives
BILL, Finmark, Float, QuickBooks Online budgetingGrok 4.20Datarailsagainst: Anaplan, Microsoft ExcelPigmentChangedagainst: Anaplanno first choiceMicrosoft Excelagainst: Anaplan, Oracle Hyperion, Planfulno first choiceagainst: Crystal Ball, EViews, Microsoft Excel, Minitab
Three alternatives
Cube, Jirav, Quantrix ModelerFive alternatives
Centage Planning Maestro, Datarails, Planful, Prophix One, VenaFour alternatives
Causal, Cube, Google Sheets, JiravTwo alternatives
Datarails, Prophix OneMistral SmallDatarailsProphix OneChangedagainst: Anaplanno first choiceMicrosoft Excelno first choicenothing named
Three alternatives
Cube, Limelight, VenaFour alternatives
Cube, Datarails, Jirav, PigmentThree alternatives
Finmark, Tiller Money, XeroDeepSeek V4 FlashPigmentagainst: Anaplan, VenaProphix OneChangedagainst: Anaplan, OneStream, Workday Adaptive Planningno first choiceExcel/Google Sheetsagainst: Anaplan, OneStream, Oracle Fusion Cloud EPM, Workday Adaptive Planningno first choiceagainst: Anaplannothing named
Four alternatives
Aleph, Cube, Datarails, Prophix OneTwo alternatives
Pigment, PlanfulTwo alternatives
PivotXL, PlanGuruFive alternatives
Cube, Pigment, Planful, Vena, Workday Adaptive PlanningLlama 4 MaverickAleph, Datarails, Limelightno first choiceChangedno first choiceno first choiceno first choicenothing named
Qwen 3.7 FlashDatarails, Limelightagainst: AnaplanProphix One, VenaChangedno first choiceCompass AI, Microsoft Excelno first choiceagainst: Oracle Fusion Cloud EPM, SAPagainst: AWS Console UI, Azure Portal GUI, IBM Rational Rose, Lucidchart, Oracle Designer, Sparx Systems Enterprise Architect, Visio
Four alternatives
Aleph, Cube, Jedox, VenaThree alternatives
Cube, Datarails, PigmentOne alternative
FinmarkKimi K2Cube, Datarailsagainst: AnaplanCube, JiravChangedno first choiceGoogle Sheets, Microsoft Excelagainst: Causalno first choiceagainst: OneStreamnothing named
Two alternatives
Drivetrain, JiravTwo alternatives
Datarails, Prophix OneThree alternatives
EasyFinancialModels, Financial Runway, Hemrock TemplatesFive alternatives
Cube, Datarails, Planful, Prophix One, VenaGLM 4.7 FlashXDatarailsPigmentChangedno first choiceMicrosoft Excelno first choicenothing named
Four alternatives
OneStream, Pigment, Planful, VenaFive alternatives
Aleph, Datarails, Fathom, Jirav, PlanfulThree alternatives
LivePlan, PlanGuru, XeroMiniMax M2.5Workday Adaptive PlanningCentage Planning MaestroChangedno first choiceGoogle Sheets, Microsoft Excelno first choicenothing named
Two alternatives
Cube, VenaFour alternatives
Datarails, Planful, Prophix One, Workday Adaptive PlanningFour alternatives
Adlega, EasyFinancialModels, Finmark, PlanGuruGPT-6 LunaWorkday Adaptive PlanningPigmentChangedno first choiceGoogle Sheets, Microsoft Excelagainst: Jiravno first choicenothing named
Two alternatives
Planful, VenaThree alternatives
Abacum, Planful, VenaTwo alternatives
LibreOffice Calc, LivePlanMuse Glimmer 30BDatarailsCubeChangedagainst: Anaplanno first choiceGoogle Sheets, Microsoft ExcelDatarailsnothing named
Six alternatives
Aleph, Cube, Limelight, Planful, Prophix One, VenaThree alternatives
Aleph, Pigment, Prophix OneThree alternatives
Adlega, EasyFinancialModels, FinmarkBold 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.
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 | 2026-11-01 12:19 | yes | 10 | 9 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 11:56 | yes | 1 | 5 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 10:03 | no | 0 | 15 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-11-01 09:08 | yes | 10 | 4 s |
| Direct recommendation | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 13:31 | yes | 5 | 37 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 10:02 | yes | 5 | 4 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 12:35 | yes | 23 | 28 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 08:42 | yes | 5 | 3 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 11:30 | yes | 5 | 19 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 09:02 | yes | 13 | 23 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 09:09 | yes | 15 | 26 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 10:21 | yes | 5 | 45 s |
| Direct recommendation | GPT-6 Luna | gpt-6-luna | 2026-11-01 10:29 | yes | 3 | 15 s |
| Direct recommendation | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 10:34 | yes | 11 | 24 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 09:27 | yes | 9 | 8 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 11:38 | no | 0 | 3 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 12:07 | no | 0 | 14 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-11-01 12:01 | yes | 10 | 4 s |
| Paraphrase | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 13:24 | yes | 5 | 28 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 09:23 | yes | 5 | 4 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 09:45 | yes | 22 | 26 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 12:25 | yes | 5 | 3 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 10:26 | yes | 5 | 28 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 10:10 | yes | 10 | 15 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 10:15 | yes | 13 | 201 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 09:48 | yes | 10 | 70 s |
| Paraphrase | GPT-6 Luna | gpt-6-luna | 2026-11-01 11:32 | yes | 5 | 13 s |
| Paraphrase | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 11:22 | yes | 13 | 19 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 11:50 | yes | 9 | 7 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 11:09 | no | 0 | 4 s |
| Comparative | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 12:56 | no | 0 | 15 s |
| Comparative | Perplexity Sonar | sonar | 2026-11-01 12:23 | yes | 10 | 5 s |
| Comparative | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 13:11 | yes | 5 | 29 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 10:22 | yes | 10 | 28 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 08:41 | yes | 19 | 26 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 09:12 | yes | 5 | 2 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 12:33 | no | 0 | 26 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 11:11 | yes | 10 | 19 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 10:34 | yes | 20 | 287 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 11:28 | yes | 5 | 49 s |
| Comparative | GPT-6 Luna | gpt-6-luna | 2026-11-01 11:51 | yes | 5 | 11 s |
| Comparative | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 08:52 | yes | 15 | 27 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 09:13 | yes | 9 | 7 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 11:19 | yes | 3 | 5 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 11:29 | yes | 3 | 17 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-11-01 13:00 | yes | 10 | 4 s |
| Budget constrained | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 13:08 | yes | 5 | 28 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 12:09 | yes | 5 | 27 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 09:05 | yes | 24 | 21 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 08:43 | yes | 5 | 2 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 09:18 | yes | 5 | 22 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 09:11 | yes | 25 | 37 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 12:30 | yes | 5 | 183 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 11:49 | yes | 10 | 27 s |
| Budget constrained | GPT-6 Luna | gpt-6-luna | 2026-11-01 10:36 | yes | 3 | 12 s |
| Budget constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 09:59 | yes | 12 | 15 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 08:53 | no | 0 | 5 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 12:08 | no | 0 | 7 s |
| Scale constrained | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 09:10 | no | 0 | 15 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-11-01 12:13 | yes | 10 | 8 s |
| Scale constrained | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 13:14 | yes | 5 | 26 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 12:17 | no | 0 | 7 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 10:11 | yes | 24 | 37 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 12:45 | yes | 5 | 3 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 11:56 | yes | 5 | 24 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 10:46 | yes | 9 | 54 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 12:18 | no | 0 | 35 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 11:11 | no | 0 | 18 s |
| Scale constrained | GPT-6 Luna | gpt-6-luna | 2026-11-01 11:34 | yes | 1 | 17 s |
| Scale constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 10:39 | yes | 15 | 30 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 11:17 | no | 0 | 2 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 10:05 | yes | 5 | 5 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 09:51 | no | 0 | 16 s |
| Negative framing | Perplexity Sonar | sonar | 2026-11-01 11:17 | yes | 10 | 4 s |
| Negative framing | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 13:06 | yes | 5 | 33 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 09:06 | yes | 5 | 7 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 11:55 | no | 0 | 2 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 12:50 | yes | 9 | 4 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 10:16 | no | 0 | 29 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 12:21 | yes | 25 | 33 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 10:11 | yes | 25 | 108 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 08:41 | yes | 15 | 75 s |
| Negative framing | GPT-6 Luna | gpt-6-luna | 2026-11-01 10:37 | no | 0 | 2 s |
| Negative framing | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 12:04 | yes | 20 | 22 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
Adaptive Insights (Workday) read as Workday Adaptive Planning
Centage read as Centage Planning Maestro
Clockwork AI read as Clockwork
Excel read as Microsoft Excel
Microsoft Visio read as Visio
Oracle EPM read as Oracle Fusion Cloud EPM
Prophix read as Prophix One
Prophix One FP&A Plus read as Prophix One
Quantrix read as Quantrix Modeler
Vena Solutions read as Vena
Workday Adaptive read as Workday Adaptive Planning
Unresolved, counted raw
AWS CDK
AWS Console UI
AnyLogic
Arena
Azure AutoML
Azure Portal GUI
BaseTemplates
Christoph Janz SaaS Financial Model
Crystal Ball
DataRobot
EViews
Eraser
Financial Runway
Foresight Mobile & SaaS Templates
GitHub Startup Models
H2O.ai
Hemrock Templates
Jirav Controller Essentials
Mermaid.js
Onshape
Oracle Designer
Oracle NetSuite Planning and Budgeting
Pulumi
PyTorch
QuickBooks Online budgeting
RapidMiner
Rhino
SBA Startup Cost Calculator
Simulink
Stata
Stella
TensorFlow
Terraform
Tiller Money
Vertabelo
XGBoost
Discontinued, still offered
No shut-down product was recommended here.