Financial modeling and scenario planning for enterprise buyers
Asked as “financial modeling software”, and as “scenario planning tool for finance”, on behalf of an enterprise B2B company. 51 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each.
Standing · first-choice share
57%
Clear leader
57Anaplan16Workday Adaptive Planning08Pigment20others
57% of first choices, clear leader.
Since September 2026▼−1Since September 2026: 56% → 56%, −1 point. Inside the 10-point floor: within noise. Read over the models both editions asked.Anaplan held the lead, −1 point on 56%, 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
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.Standing →Mid-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.This page
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.Standing →Mid-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.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
01Anaplan57%10%49endorsed leader▼−1Since September 2026: 56% → 56%, −1 point. Inside the 10-point floor: within noise. Read over the models both editions asked.56% → 56%
Anaplan57%10%49endorsed leader▼−1Since September 2026: 56% → 56%, −1 point. Inside the 10-point floor: within noise. Read over the models both editions asked.56% → 56%02
Workday Adaptive Planning16%5%41accepted challenger▲+15Since September 2026: 3% → 18%, +15 points. Past the 10-point floor: movement. Read over the models both editions asked.3% → 18%
Workday Adaptive Planning16%5%41accepted challenger▲+15Since September 2026: 3% → 18%, +15 points. Past the 10-point floor: movement. Read over the models both editions asked.3% → 18%03
Pigment8%16%19accepted challenger▲+4Since September 2026: 5% → 9%, +4 points. Inside the 10-point floor: within noise. Read over the models both editions asked.5% → 9%
Pigment8%16%19accepted challenger▲+4Since September 2026: 5% → 9%, +4 points. Inside the 10-point floor: within noise. Read over the models both editions asked.5% → 9%04
Oracle Fusion Cloud EPM4%19%16accepted challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 10-point floor: within noise. Read over the models both editions asked.0% → 2%
Oracle Fusion Cloud EPM4%19%16accepted challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 10-point floor: within noise. Read over the models both editions asked.0% → 2%05
Cube4%10%10accepted challenger▲+2Since September 2026: 3% → 4%, +2 points. Inside the 10-point floor: within noise. Read over the models both editions asked.3% → 4%
Cube4%10%10accepted challenger▲+2Since September 2026: 3% → 4%, +2 points. Inside the 10-point floor: within noise. Read over the models both editions asked.3% → 4%06
OneStream2%7%14accepted challenger=heldSince September 2026: 3% → 2%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.3% → 2%
OneStream2%7%14accepted challenger=heldSince September 2026: 3% → 2%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.3% → 2%Show the six products at 0%, ordered by negative rate
12
Lucidchart0%100%12criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.0% → 0%
Lucidchart0%100%12criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.0% → 0%08
Erwin Data Modeler0%27%11criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.0% → 0%
Erwin Data Modeler0%27%11criticized 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
ER/Studio0%25%12criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.0% → 0%
ER/Studio0%25%12criticized 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
Vena0%22%18accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.0% → 0%
Vena0%22%18accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.0% → 0%11
SAP PowerDesigner0%18%11accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.0% → 0%
SAP PowerDesigner0%18%11accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.0% → 0%07
Planful0%12%17accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.0% → 0%
Planful0%12%17accepted 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
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
One product takes 57% of first choices here, so the chart would put eleven markers in one corner and one at the far edge. The two measurements it plots are columns in the standing above: share, and the negative label rate. Three products carry a negative rate above 25% in this category.
What they warned about
Seven of fourteen models held their first choice under the paraphrase. GPT-5.4 mini, Grok 4.1 Fast, Mistral Small, DeepSeek V4 Flash, Qwen 3.7 Flash, GLM 4.7 FlashX and MiniMax M2.5 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.
Lucidchart100%
12 of 12 labels negative · 9 of 14 models · 7 hard negative
“enterprises should be cautious about: * Using Lucidchart, Visio, PowerPoint and similar visual diagramming products as the system of record” Muse Glimmer 30B, negative prompt
draw.io100%
8 of 8 labels negative · 8 of 14 models · 5 hard negative
“Static, general-purpose diagramming tools (e.g., Microsoft Visio, Lucidchart, draw.io) for production database design.” Gemini 3.5 Flash, negative prompt
Visio100%
7 of 7 labels negative · 6 of 14 models · 5 hard negative
“Static, general-purpose diagramming tools (e.g., Microsoft Visio, Lucidchart, draw.io) for production database design.... are disastrous for formal enterprise data modeling” Gemini 3.5 Flash, negative prompt
Microsoft Excel71%
5 of 7 labels negative · 5 of 14 models · 5 hard negative
“Tools/Categories to Avoid Entirely ... **Microsoft Excel (or Google Sheets) for complex financial/forecasting modeling**” Grok 4.1 Fast, 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
73 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. 1069 links across 375 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 · Drivetrain26 answers · 37 citations · 10 models
vendor site · Datarails23 answers · 27 citations · 10 models
vendor site · Guideflow20 answers · 24 citations · 11 models
17 answers · 17 citations · 9 models
vendor site · ER/Studio16 answers · 23 citations · 10 models
vendor site · Cubesoftware15 answers · 17 citations · 11 models
vendor site · Farseer14 answers · 15 citations · 9 models
vendor site · Abacum14 answers · 14 citations · 9 models
14 answers · 14 citations · 11 models
vendor site · G213 answers · 14 citations · 6 models
vendor site · Worldmetrics12 answers · 17 citations · 8 models
vendor site · Workday12 answers · 16 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.
20 answers · 9 models
18 answers · 10 models
17 answers · 9 models
14 answers · 11 models
12 answers · 8 models
12 answers · 8 models
10 answers · 10 models
10 answers · 7 models
10 answers · 10 models
10 answers · 7 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 |
|---|---|---|---|---|---|---|---|---|
| Anaplan anaplan.com | 57% | 491 | 18,100 | 532 | 78,179 | 31 | ||
| Workday workday.com Workday Adaptive Planning 16% | 16% | 407 | 1,220,000 | 23,848 | 2,213,450 company | 80 | ||
| Pigment pigment.com | 8% | 165 | 49,500 | 25,645 | 12,248 | 22 | ||
| Limelight golimelight.com | 6% | 29 | 49,500 | 4,546 | 4,750 | 0 | ||
| Oracle Fusion oracle.com Oracle Fusion Cloud EPM 4% | 4% | 273 | 260 | 0 | 7,410,638 company | $247 | 101 | |
| Cube cubesoftware.com | 4% | 349 | 90,500 | 152,613 | 168,764 | 13 | 4 | |
| OneStream onestream.com | 2% | 478 | 12,100 | 703 | 32,233 | $36 | 120 | |
| Drivetrain drivetrain.ai | 2% | 103 | 18,100 | 2,818 | 8,983 | $134 | 1 | 6 |
| GoLimelight | 2% | |||||||
| Planful planful.com | 0% | 341 | 3,600 | 685,726 | 58,997 | $137 | 120 |
Google's top ten for the three searches hold 21 sites; 3 of them are among the sites the models cited here (abacum.ai, cubesoftware.com, drivetrain.ai). 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 an enterprise B2B company?”Paraphrase“Which scenario planning tool for finance would you recommend to a large B2B company with thousands of employees?”Comparative“What are the top enterprise-grade modeling tools and how do they differ?”Budget-constrained“What is the best financial modeling software 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 a financial modeling software. What should we look at?”Negative“Which modeling tools should a large enterprise avoid or be cautious about?”
Claude Haiku 4.5Anaplanagainst: Microsoft Excel with VBA/Python, Tableau/Power BIAnaplanHeldErwin Data ModelerAnaplanno first choiceagainst: Archer
Four alternatives
Planful, SAP Analytics Cloud, Workday Adaptive Planning, Workday FinancialsTwo alternatives
Vena, Workday Adaptive PlanningThree alternatives
ER/Studio, IBM InfoSphere Data Architect, SAP PowerDesignerTwo alternatives
OneStream, Workday Adaptive PlanningGPT-5.4 miniAnaplanWorkday Adaptive PlanningChangedSAP PowerDesigneragainst: Bizzdesign Enterprise Studio, MEGA HOPEXWorkday Adaptive Planningno first choicenothing named
Two alternatives
Oracle Fusion Cloud EPM, Workday Adaptive PlanningOne alternative
AnaplanThree alternatives
Erwin Data Modeler, Sparx Systems Enterprise Architect, Visual ParadigmOne alternative
AnaplanGemini 3.5 FlashPigmentagainst: AnaplanPigmentHeldno first choiceCubeAnaplan, Pigmentagainst: OneStream, Oracle Fusion Cloud EPMagainst: Lucidchart, Microsoft Excel, SharePoint, Visio, draw.io
Five alternatives
Abacum, Aleph, Runway, Vena, Workday Adaptive PlanningTwo alternatives
Anaplan, Workday Adaptive PlanningThree alternatives
Anaplan, OneStream, PigmentThree alternatives
Planful, Vena, Workday Adaptive PlanningPerplexity SonarAnaplanAnaplanHeldagainst: DrivetrainER/Studio, Erwin Data Modeleragainst: LucidchartOracle Fusion Cloud EPMagainst: Abacum, Datarails, Venano first choiceagainst: Lucidchart, draw.io
Two alternatives
Oracle Fusion Cloud EPM, Workday Adaptive PlanningTwo alternatives
Planisware, Workday Adaptive PlanningOne alternative
SAP PowerDesignerTwo alternatives
Anaplan, Workday Adaptive PlanningGrok 4.1 FastAnaplan, PigmentAnaplanChangedagainst: IBM Planning Analytics, Planful, VenaErwin Data Modeleragainst: Lucidchart, SqlDBM, dbtAnaplanagainst: Cube, Datarails, Prophix, VenaAnaplan, Workday Adaptive Planningagainst: Camunda, Google Sheets, Hugging Face, Lucidchart, Microsoft Excel, Trello, Visio, draw.io, scikit-learn
Three alternatives
OneStream, Oracle Cloud EPM Planning, Workday Adaptive PlanningTwo alternatives
Oracle Fusion Cloud EPM, Workday Adaptive PlanningFour alternatives
ER/Studio, IBM InfoSphere Data Architect, SAP PowerDesigner, Sparx Systems Enterprise ArchitectThree alternatives
OneStream, Oracle Hyperion Planning, Workday Adaptive PlanningTwo alternatives
Pigment, VenaMistral SmallAnaplan, Workday Adaptive PlanningAnaplanChangedErwin Data ModelerAnaplan, Limelightno first choiceagainst: ER/Studio, Erwin Data Modeler, LookML, Lucidchart, draw.io
Two alternatives
Jedox, PlanfulFour alternatives
ER/Studio, SAP PowerDesigner, SqlDBM, dbtTwo alternatives
Cube, PlanfulDeepSeek V4 FlashWorkday Adaptive Planningagainst: Oracle Fusion Cloud EPM, PigmentAnaplanChangedagainst: Pigment, Venano first choiceLimelightagainst: Anaplan, Oracle, Workday Adaptive Planningno first choiceagainst: ER/Studio, Erwin Data Modeler, Microsoft Excel, MySQL Workbench, SAP PowerDesigner, dbt, draw.io
Four alternatives
Anaplan, Drivetrain, Mosaic, PlanfulThree alternatives
Board, OneStream, Workday Adaptive PlanningOne alternative
OneStreamLlama 4 MaverickAnaplanAnaplanHeldno first choiceno first choiceAnaplanagainst: DbSchema, Lucidchart, dbt, draw.io
Three alternatives
Drivetrain, Jedox, PlanfulFour alternatives
Planisware, Synario, Vena, Workday Adaptive PlanningThree alternatives
Cube, Datarails, VenaQwen 3.7 FlashAnaplanAnaplan, Workday Adaptive PlanningChangedSAP Signavioagainst: Lucidchart, VisioGoLimelightagainst: Anaplan, Datarails, Planfulno first choiceagainst: Atlassian Jira / Confluence, Lucidchart, MS Visio, Microsoft Excel, Miro, PowerPoint, Sparx Systems Enterprise Architect, Visio
Four alternatives
Cube, Oracle Fusion Cloud EPM, Vena, Workday Adaptive PlanningFour alternatives
Board, OneStream, Oracle Fusion Cloud EPM, SAP Analytics CloudSeven alternatives
Bizagi Modeler, Cameo Systems Modeler, IBM Engineering Lifecycle Management, IBM InfoSphere Change Tracker / Cloud Pak for Automation, Mega International, Orbus i-NSIGHT, Sparx SystemsFour alternatives
Microsoft 365 E5, Microsoft Copilot, Microsoft Excel, Microsoft Power BIKimi K2AnaplanAnaplanHeldno first choiceOneStreamno first choiceagainst: Archi, ERwin, IBM Rational tools, Lucidchart, MySQL Workbench, Oracle SQL Developer Data Modeler, PowerDesigner, Sparx Systems Enterprise Architect, Visio, draw.io, pgModeler
Three alternatives
Pigment, Planful, Workday Adaptive PlanningThree alternatives
OneStream, Pigment, Workday Adaptive PlanningTwo alternatives
IBM Planning Analytics, Workday Adaptive PlanningGLM 4.7 FlashXAnaplan, Workday Adaptive Planningagainst: Excel/Google SheetsAnaplanChangedno first choiceAnaplanno first choiceagainst: Activiti Designer, Archi, Camunda Modeler, Figma, Lucidchart, Miro, MySQL Workbench, OpenModelica, Oracle SQL Developer Data Modeler, Papyrus, SQL Server Management Studio (SSMS) Data Modeler, Sparx Systems Enterprise Architect, Visio, dbdiagram.io, diagramly, draw.io, pgModeler
Three alternatives
Board, Oracle NetSuite, ProphixTwo alternatives
Pigment, Workday Adaptive PlanningTwo alternatives
Oracle Fusion Cloud EPM, VenaMiniMax M2.5DrivetrainWorkday Adaptive PlanningChangedagainst: Oracle Fusion Cloud EPMErwin Data ModelerCubeagainst: Anaplanno first choiceagainst: Google Sheets, Microsoft Excel
Four alternatives
Anaplan, Oracle Cloud EPM Planning, Pigment, Workday Adaptive PlanningOne alternative
AnaplanSix alternatives
ER/Studio, Oracle SQL Developer Data Modeler, SAP PowerDesigner, Sparx Systems Enterprise Architect, SqlDBM, dbForge EdgeTwo alternatives
Limelight, PlanfulGPT-6 LunaAnaplanAnaplanHeldno first choiceOracle Fusion Cloud EPMno first choicenothing named
Three alternatives
Oracle Fusion Cloud EPM, Pigment, Workday Adaptive PlanningTwo alternatives
Oracle Cloud EPM Planning, Workday Adaptive PlanningSeven alternatives
Ardoq, Avolution, Bizzdesign Horizzon, OrbusInfinity, SAP LeanIX, ServiceNow, Sparx Systems Enterprise ArchitectFour alternatives
Anaplan, Pigment, Planful, Workday Adaptive PlanningMuse Glimmer 30BAnaplanAnaplanHeldQuest erwin Data ModelerLimelightagainst: Anaplan, Pigment, Workday Adaptive Planningno first choiceagainst: ER/Studio, Erwin Data Modeler, Looker, Lucidchart, MEGA HOPEX, Microsoft PowerPoint, SAP PowerDesigner, Visio
Four alternatives
Drivetrain, Oracle Cloud Enterprise Performance Management EPM Planning, Pigment, Workday Adaptive PlanningOne alternative
Workday Adaptive PlanningTwo alternatives
IDERA ER/Studio Data Architect, SAP PowerDesignerBold 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 10:08 | no | 0 | 5 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 10:07 | yes | 4 | 6 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 10:44 | yes | 17 | 22 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-10-01 11:08 | yes | 19 | 3 s |
| Direct recommendation | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 11:30 | yes | 23 | 11 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 08:27 | yes | 5 | 4 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 08:47 | yes | 17 | 35 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 10:53 | yes | 5 | 2 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 11:19 | no | 0 | 29 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 07:37 | yes | 14 | 21 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 08:14 | no | 0 | 243 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 09:14 | yes | 5 | 13 s |
| Direct recommendation | GPT-6 Luna | gpt-6-luna | 2026-10-01 08:50 | yes | 4 | 15 s |
| Direct recommendation | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 10:29 | yes | 13 | 22 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 11:12 | yes | 17 | 8 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 09:02 | yes | 2 | 4 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 09:05 | yes | 17 | 25 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-10-01 09:36 | yes | 19 | 4 s |
| Paraphrase | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 10:36 | yes | 24 | 9 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 10:16 | yes | 5 | 3 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 11:06 | yes | 24 | 30 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 10:04 | yes | 5 | 2 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 09:51 | yes | 9 | 34 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 07:50 | yes | 18 | 20 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 11:28 | yes | 20 | 63 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 10:47 | yes | 17 | 30 s |
| Paraphrase | GPT-6 Luna | gpt-6-luna | 2026-10-01 11:08 | yes | 3 | 13 s |
| Paraphrase | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 10:34 | yes | 23 | 31 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 10:37 | yes | 9 | 9 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 08:28 | yes | 8 | 11 s |
| Comparative | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 08:13 | yes | 13 | 28 s |
| Comparative | Perplexity Sonar | sonar | 2026-10-01 07:54 | yes | 18 | 3 s |
| Comparative | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 08:49 | yes | 22 | 10 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 08:32 | yes | 7 | 7 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 10:58 | yes | 20 | 46 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 10:41 | yes | 5 | 2 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 08:49 | no | 0 | 35 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 09:12 | yes | 24 | 35 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 07:46 | yes | 22 | 26 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 10:31 | yes | 10 | 24 s |
| Comparative | GPT-6 Luna | gpt-6-luna | 2026-10-01 09:20 | yes | 8 | 26 s |
| Comparative | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 10:22 | yes | 14 | 23 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 07:59 | yes | 17 | 8 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 09:20 | yes | 5 | 6 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 07:53 | yes | 26 | 36 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-10-01 08:15 | yes | 20 | 4 s |
| Budget constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 08:45 | yes | 18 | 10 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 08:08 | yes | 8 | 6 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 10:28 | yes | 22 | 36 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 09:41 | yes | 5 | 2 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 11:09 | yes | 18 | 94 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 09:13 | yes | 23 | 26 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 11:04 | yes | 19 | 29 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 08:02 | yes | 19 | 41 s |
| Budget constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 07:45 | yes | 2 | 42 s |
| Budget constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 10:11 | yes | 14 | 21 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 08:23 | no | 0 | 7 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 09:36 | no | 0 | 7 s |
| Scale constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 11:20 | no | 0 | 18 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-10-01 09:44 | yes | 21 | 6 s |
| Scale constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 10:26 | yes | 15 | 9 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 09:45 | no | 0 | 7 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 10:16 | yes | 24 | 34 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 10:59 | yes | 5 | 3 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 08:36 | no | 0 | 43 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 07:59 | yes | 20 | 28 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 09:01 | yes | 23 | 37 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 09:16 | yes | 5 | 20 s |
| Scale constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 09:43 | yes | 5 | 21 s |
| Scale constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 10:16 | yes | 14 | 23 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 10:44 | yes | 18 | 9 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 10:17 | yes | 4 | 6 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 10:18 | yes | 12 | 25 s |
| Negative framing | Perplexity Sonar | sonar | 2026-10-01 08:11 | yes | 24 | 4 s |
| Negative framing | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 08:29 | yes | 25 | 8 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 08:58 | yes | 15 | 12 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 07:53 | yes | 24 | 39 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 09:33 | yes | 5 | 3 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 10:33 | no | 0 | 39 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 07:46 | yes | 25 | 25 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 09:55 | yes | 20 | 117 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 09:52 | yes | 19 | 57 s |
| Negative framing | GPT-6 Luna | gpt-6-luna | 2026-10-01 10:30 | no | 0 | 2 s |
| Negative framing | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 11:17 | yes | 21 | 43 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
ER/Studio Data Architect read as ER/Studio
ER/Studio Data Architect (IDERA) read as ER/Studio
Excel read as Microsoft Excel
Microsoft Visio read as Visio
Microsoft Visio (Standalone/Personal) read as Visio
Oracle Cloud EPM read as Oracle Fusion Cloud EPM
Oracle Cloud EPM (Enterprise Performance Management) read as Oracle Fusion Cloud EPM
Oracle Cloud EPM (Essbase) read as Oracle Fusion Cloud EPM
Oracle EPM read as Oracle Fusion Cloud EPM
Oracle EPM Cloud (Hyperion) read as Oracle Fusion Cloud EPM
Vena Solutions read as Vena
Unresolved, counted raw
Activiti Designer
Atlassian Jira / Confluence
Autodesk Maya
Avolution
BOC Group
Barchart
BiZZdesign
Bizagi Modeler
Bizzdesign Enterprise Studio
Bizzdesign Horizzon
Cameo
Cameo Systems Modeler (by No Magic)
Camunda Modeler
Figma
FinerWorks
GoLimelight
IBM Engineering Lifecycle Management
IBM InfoSphere Change Tracker / Cloud Pak for Automation
IBM Rational tools
IBM Rhapsody
IDERA
IDERA ER/Studio Data Architect
LookML (Looker)
MS Visio
Mega International
Mermaid.js
Microsoft 365 E5
Microsoft Excel with VBA/Python
No Magic / Dassault Systèmes MagicDraw and Cameo Systems Modeler
OAK (Operis Analysis Kit)
OpenModelica
Oracle Cloud Enterprise Performance Management EPM Planning
Orbus i-NSIGHT
OrbusInfinity
Papyrus
PlantUML
PowerDesigner
Quest erwin Data Modeler
SAP LeanIX
SQL Server Management Studio (SSMS) Data Modeler
SageMaker
Sparx Systems (Enterprise Architect)
Structurizr
Synario
Visual Paradigm
dbForge Edge
diagramly
scikit-learn
Discontinued, still offered
No shut-down product was recommended here.