FP&A platforms for enterprise buyers
Asked as “FP&A software”, and as “financial planning and analysis platform”, on behalf of an enterprise B2B company. 53 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each.
Standing · first-choice share
53%
Clear leader
53Anaplan17OneStream09Workday Adaptive Planning21others
53% of first choices, clear leader.
Since September 2026▲+4Since September 2026: 48% → 51%, +4 points. Inside the 10-point floor: within noise. Read over the models both editions asked.Anaplan held the lead, +4 points on 48%, 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
Fathom25%Contested↗new leaderNew leader since September 2026: Fathom (27%) replaces Clockwork (60% then, 10% now), 17 points clear, past the 10-point floor.Standing →Mid-market
Planful20%Contested↗new leaderNew leader since September 2026: Planful (19%) replaces Vena (15% then, 15% now), 4 points clear, inside the 10-point floor.Standing →Enterprise
Anaplan53%Clear leader▲+4Since September 2026: 48% → 51%, +4 points. Inside the 10-point floor: within noise. Read over the models both editions asked.This page
Fathom25%Contested↗new leaderNew leader since September 2026: Fathom (27%) replaces Clockwork (60% then, 10% now), 17 points clear, past the 10-point floor.Standing →Mid-marketPlanful20%Contested↗new leaderNew leader since September 2026: Planful (19%) replaces Vena (15% then, 15% now), 4 points clear, inside the 10-point floor.Standing →EnterpriseAnaplan53%Clear leader▲+4Since September 2026: 48% → 51%, +4 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
01Anaplan53%23%75endorsed leader▲+4Since September 2026: 48% → 51%, +4 points. Inside the 10-point floor: within noise. Read over the models both editions asked.48% → 51%
Anaplan53%23%75endorsed leader▲+4Since September 2026: 48% → 51%, +4 points. Inside the 10-point floor: within noise. Read over the models both editions asked.48% → 51%02
OneStream17%13%52accepted challenger▲+17Since September 2026: 2% → 19%, +17 points. Past the 10-point floor: movement. Read over the models both editions asked.2% → 19%
OneStream17%13%52accepted challenger▲+17Since September 2026: 2% → 19%, +17 points. Past the 10-point floor: movement. Read over the models both editions asked.2% → 19%03
Workday Adaptive Planning9%10%61accepted challenger▼−9Since September 2026: 20% → 11%, −9 points. Inside the 10-point floor: within noise. Read over the models both editions asked.20% → 11%
Workday Adaptive Planning9%10%61accepted challenger▼−9Since September 2026: 20% → 11%, −9 points. Inside the 10-point floor: within noise. Read over the models both editions asked.20% → 11%04
Pigment6%20%41accepted challenger▼−9Since September 2026: 15% → 6%, −9 points. Inside the 10-point floor: within noise. Read over the models both editions asked.15% → 6%
Pigment6%20%41accepted challenger▼−9Since September 2026: 15% → 6%, −9 points. Inside the 10-point floor: within noise. Read over the models both editions asked.15% → 6%05Planful4%21%33accepted challenger▲+4Since September 2026: 0% → 4%, +4 points. Inside the 10-point floor: within noise. Read over the models both editions asked.0% → 4%
Planful4%21%33accepted challenger▲+4Since September 2026: 0% → 4%, +4 points. Inside the 10-point floor: within noise. Read over the models both editions asked.0% → 4%06
Oracle Fusion Cloud EPM2%14%36accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.0% → 0%
Oracle Fusion Cloud EPM2%14%36accepted 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
Board2%5%22accepted challenger=heldSince September 2026: 2% → 2%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.2% → 2%
Board2%5%22accepted challenger=heldSince September 2026: 2% → 2%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.2% → 2%08
IBM Planning Analytics2%23%26accepted challenger=heldSince September 2026: 2% → 2%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.2% → 2%
IBM Planning Analytics2%23%26accepted challenger=heldSince September 2026: 2% → 2%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.2% → 2%Show the six products at 0%, ordered by negative rate
13
Cube0%45%22criticized challenger▼−2Since September 2026: 2% → 0%, −2 points. Inside the 10-point floor: within noise. Read over the models both editions asked.2% → 0%
Cube0%45%22criticized challenger▼−2Since September 2026: 2% → 0%, −2 points. Inside the 10-point floor: within noise. Read over the models both editions asked.2% → 0%14
Datarails0%45%22criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.0% → 0%
Datarails0%45%22criticized 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
Vena0%32%40criticized 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%32%40criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.0% → 0%12
Prophix0%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%
Prophix0%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
SAP Analytics Cloud0%17%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%
SAP Analytics Cloud0%17%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
Drivetrain0%17%12accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.0% → 0%
Drivetrain0%17%12accepted 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.
Head to head
All twenty-eight head-to-head pages: the top eight products, each against each
Planful vs AbacumPlanful vs DrivetrainPlanful vs CentagePlanful vs ClockworkFathom vs VenaFathom vs CubeFathom vs AbacumFathom vs DrivetrainFathom vs CentageFathom vs ClockworkVena vs CubeVena vs AbacumVena vs DrivetrainVena vs CentageVena vs ClockworkCube vs AbacumCube vs DrivetrainCube vs CentageCube vs ClockworkAbacum vs DrivetrainAbacum vs CentageAbacum vs ClockworkDrivetrain vs CentageDrivetrain vs ClockworkCentage vs Clockwork
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 →
0102030405060708091011121314Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative70%
Key
01Anaplan53%
Anaplan53%02OneStream17%
OneStream17%03Workday Adaptive Planning9%
Workday Adaptive Planning9%04Pigment6%
Pigment6%05Planful4%
Planful4%06Oracle Fusion Cloud EPM2%
Oracle Fusion Cloud EPM2%07Board2%
Board2%08IBM Planning Analytics2%
IBM Planning Analytics2%09SAP Analytics Cloud0%
SAP Analytics Cloud0%10Vena0%
Vena0%11Drivetrain0%
Drivetrain0%12Prophix0%
Prophix0%13Cube0%
Cube0%14Datarails0%
Datarails0%What they warned about
Six of fourteen models held their first choice under the paraphrase. Claude Haiku 4.5, Gemini 3.5 Flash, Grok 4.1 Fast, DeepSeek V4 Flash, Qwen 3.7 Flash, Kimi K2, 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.
Anaplan23%
17 of 75 labels negative · 11 of 14 models · 4 hard negative
“Avoid Anaplan if cost predictability is your #1 priority — it's the best modeling platform but the worst for budget certainty.” DeepSeek V4 Flash, budget prompt
Vena32%
13 of 40 labels negative · 10 of 14 models · 6 hard negative
“Excel-Adjacent Tools (e.g., Datarails, Cube, Vena) ... not designed for long-term scalability in large enterprises” Mistral Small, negative prompt
Cube45%
10 of 22 labels negative · 9 of 14 models · 6 hard negative
“**Excel-adjacent tools** such as **Datarails, Cube, and sometimes Vena** when the enterprise needs to *replace* spreadsheet workflows” Perplexity Sonar, negative prompt
Datarails45%
10 of 22 labels negative · 9 of 14 models · 6 hard negative
“Budget-conscious teams should avoid overbuying... tools like Cube, Datarails, or Vena... Spreadsheet-based tools typically cannot meet enterprise-scale governance and performance” Muse Glimmer 30B, 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
76 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. 1112 links across 224 sites, every framing counted. Ranked by the number of answers carrying the site or page. 22 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.
39 answers · 49 citations · 11 models
vendor site · Drivetrain37 answers · 45 citations · 12 models
32 answers · 43 citations · 11 models
vendor site · Board30 answers · 39 citations · 11 models
vendor site · G229 answers · 68 citations · 12 models
vendor site · G228 answers · 30 citations · 10 models
vendor site · Cubesoftware27 answers · 29 citations · 9 models
24 answers · 37 citations · 10 models
vendor site · Centage24 answers · 25 citations · 11 models
23 answers · 30 citations · 10 models
vendor site · Pigment22 answers · 27 citations · 9 models
vendor site · Prophix22 answers · 24 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.
32 answers · 11 models
27 answers · 10 models
26 answers · 11 models
26 answers · 10 models
24 answers · 11 models
20 answers · 7 models
19 answers · 10 models
19 answers · 7 models
18 answers · 10 models
15 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 fp&a software”, “fp&a platforms”, “fp&a software”. 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 | 53% | 491 | 18,100 | 532 | 78,179 | 31 | ||
| OneStream onestream.com | 17% | 478 | 12,100 | 703 | 32,233 | $36 | 120 | |
| Workday workday.com Workday Adaptive Planning 9% | 9% | 407 | 1,220,000 | 23,848 | 2,213,450 company | 80 | ||
| Pigment pigment.com | 6% | 165 | 49,500 | 25,645 | 12,248 | 22 | ||
| Limelight golimelight.com | 6% | 29 | 49,500 | 4,546 | 4,750 | 0 | 4 | |
| Planful planful.com | 4% | 341 | 3,600 | 685,726 | 58,997 | $137 | 120 | |
| Oracle Fusion oracle.com Oracle Fusion Cloud EPM 2% | 2% | 273 | 260 | 0 | 7,410,638 company | $247 | 101 | |
| Board board.com | 2% | 88 | 90,500 | 612,482 | 44,405 | 106 | ||
| IBM ibm.com IBM Planning Analytics 2% | 2% | 73 | 201,000 | 34,098 | 31,137,701 company | $2,518 | 118 | |
| SAP sap.com SAP Analytics Cloud 0%, SAP 0% | 0% | 85 | 135,000 | 74,309 | 2,214,514 | $1,251 | 23 | 4 |
Google's top ten for the three searches hold 20 sites; 7 of them are among the sites the models cited here (centage.com, cfoshortlist.com, cubesoftware.com, g2.com, getaleph.com, golimelight.com, prophix.com). The first result for “best fp&a software” is irisfinance.co.
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 FP&A software for an enterprise B2B company?”Paraphrase“Which financial planning and analysis platform would you recommend to a large B2B company with thousands of employees?”Comparative“What are the top enterprise-grade FP&A platforms and how do they differ?”Budget-constrained“What is the best FP&A 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 FP&A software. What should we look at?”Negative“Which FP&A platforms should a large enterprise avoid or be cautious about?”
Claude Haiku 4.5Anaplan, Workday Adaptive Planningagainst: BoardOneStream, PlanfulChangedno first choiceagainst: AnaplanLimelightagainst: Anaplanno first choiceagainst: Aleph, Anaplan, Cube, OneStream, Oracle Fusion Cloud EPM, Pigment, Vena
Two alternatives
OneStream, PigmentFour alternatives
Anaplan, Jedox, Vena, Workday Adaptive PlanningThree alternatives
Kepion, Planful, VenaTwo alternatives
OneStream, Workday Adaptive PlanningGPT-5.4 miniAnaplanagainst: PigmentAnaplanHeldAnaplan, Workday Adaptive Planningagainst: JustPerform, SAP Analytics Cloud, insightsoftwareBoardno first choicenothing named
Two alternatives
OneStream, Workday Adaptive PlanningOne alternative
Workday Adaptive PlanningSeven alternatives
Board, Jedox, OneStream, Oracle Fusion Cloud EPM, Planful, Prophix, VenaTwo alternatives
Planful, Workday Adaptive PlanningGemini 3.5 FlashPigmentAnaplanChangedno first choiceIBM Planning Analyticsagainst: Anaplan, Oracle Fusion Cloud EPM, Workday Adaptive Planningno first choiceagainst: Anaplan, Clockwork, Datarails, IBM Planning Analytics, Jirav, LiveFlow, Mosaic, OneStream, Oracle Fusion Cloud EPM, Oracle Hyperion, Runway, SAP BPC, Sage Intacct
Four alternatives
Anaplan, Planful, Vena, Workday Adaptive PlanningFive alternatives
OneStream, Oracle Fusion Cloud EPM, Pigment, SAP Analytics Cloud, Workday Adaptive PlanningSeven alternatives
Anaplan, CCH Tagetik, OneStream, Oracle Fusion Cloud EPM, Pigment, SAP Analytics Cloud, Workday Adaptive PlanningThree alternatives
A3 Solutions, Cube, VenaPerplexity SonarAnaplanAnaplanHeldAnaplanOneStreamno first choiceagainst: Cube, Datarails, Planful, Prophix, Vena
Two alternatives
Pigment, Workday Adaptive PlanningFour alternatives
Board, Oracle NetSuite Planning & Budgeting, SAP Analytics Cloud, Workday Adaptive PlanningEight alternatives
Board, CCH Tagetik, IBM Planning Analytics, OneStream, Oracle Fusion Cloud EPM, Pigment, SAP Analytics Cloud, Workday Adaptive PlanningTwo alternatives
Anaplan, Oracle Fusion Cloud EPMGrok 4.1 FastAnaplan, OneStreamAnaplanChangedno first choiceLimelightagainst: OneStream, Oracle Fusion Cloud EPM, Planful, Vena, Workday Adaptive PlanningAnaplan, Pigment, Planfulagainst: Anaplan, Cube, Datarails, Drivetrain, Fathom, IBM Planning Analytics, Jirav, Pigment, Planful, Rhythm, Talentia CPM, Vena, Workday Adaptive Planning
Four alternatives
Board, Oracle Fusion Cloud EPM, SAP Analytics Cloud, Workday Adaptive PlanningThree alternatives
OneStream, Oracle Fusion Cloud EPM, Workday Adaptive PlanningTwo alternatives
Anaplan, CubeTwo alternatives
Cube, Workday Adaptive PlanningMistral SmallAnaplanAnaplanHeldno first choiceAnaplan, Pigmentno first choiceagainst: Anaplan, Cube, Datarails, OneStream, Vena
Two alternatives
IBM Planning Analytics, VaretoTwo alternatives
Drivetrain, EvidanzaDeepSeek V4 FlashAnaplan, OneStreamAnaplanChangedagainst: IBM Planning AnalyticsAnaplanOneStream, Workday Adaptive Planningagainst: Anaplan, Pigment, Planful, Prophix, VenaAnaplanagainst: Aleph, Cubeagainst: Anaplan, Cube, Datarails, Oracle Fusion Cloud EPM, Pigment, SAP Analytics Cloud, Vena, Workday Adaptive Planning
Five alternatives
Abacum, Board, Drivetrain, Pigment, Workday Adaptive PlanningFour alternatives
OneStream, Oracle Fusion Cloud EPM, Pigment, SAP Analytics CloudTen alternatives
Board, IBM Planning Analytics, Jedox, OneStream, Oracle Fusion Cloud EPM, Pigment, Planful, SAP Analytics Cloud, Vena, Workday Adaptive PlanningFive alternatives
OneStream, Pigment, Planful, Prophix, Workday Adaptive PlanningLlama 4 Maverickno first choiceno first choiceHeldno first choiceno first choiceno first choiceagainst: Anaplan, Cube, Datarails, OneStream, Vena
Four alternatives
Anaplan, NetSuite Planning and Budgeting, Pigment, Workday Adaptive PlanningQwen 3.7 FlashAnaplanagainst: Float, JiravWorkday Adaptive PlanningChangedAnaplanagainst: SAP Business Technology Platform (BTP) / BPCAnaplan, OneStreamAnaplanagainst: Anaplan, Baan, IBM Planning Analytics, Oracle Hyperion Financial Management, SAP Analytics Cloud
Five alternatives
IBM Planning Analytics, Kasima, Planful, Vena, Workday Adaptive PlanningThree alternatives
Anaplan, OneStream, VenaFour alternatives
OneStream, Oracle Fusion Cloud EPM, Vena, Workday Adaptive PlanningTwo alternatives
Oracle Fusion Cloud EPM, Workday Adaptive PlanningSix alternatives
Datarails, Pigment, Planful, Solvency, Vena, Workday Adaptive PlanningKimi K2Anaplan, Workday Adaptive PlanningAnaplanChangedAnaplan, OneStreamOneStreamagainst: Anaplan, IBM Planning Analyticsno first choiceagainst: Pigment, Prophixagainst: Anaplan, Cube, Datarails, Oracle Hyperion, Planful, Vena
Two alternatives
IBM Planning Analytics, Oracle Fusion Cloud EPMTwo alternatives
Pigment, Workday Adaptive PlanningSix alternatives
Board, Oracle Fusion Cloud EPM, Pigment, Planful, SAP Analytics Cloud, Workday Adaptive PlanningTwo alternatives
Limelight, Workday Adaptive PlanningThree alternatives
Anaplan, Planful, Workday Adaptive PlanningGLM 4.7 FlashXAnaplan, OneStreamAnaplanChangedno first choiceOneStreamno first choiceagainst: Cube, Datarails, Jirav, Unit4 FP&A On-Premise, Vena
Six alternatives
IBM Planning Analytics, Oracle Fusion Cloud EPM, Prophix, SAP Analytics Cloud, Vena, Workday Adaptive PlanningSix alternatives
Board, IBM Planning Analytics, OneStream, Vena, Workday Adaptive Planning, WorkivaThree alternatives
Board, IBM Planning Analytics, Workday Adaptive PlanningMiniMax M2.5Anaplan, Workday Adaptive PlanningAnaplanChangedagainst: FloQast, Venano first choiceno first choiceno first choiceagainst: Anaplan, Workday Adaptive Planning
Four alternatives
OneStream, Pigment, Planful, SAP Integrated Business PlanningFive alternatives
OneStream, Oracle Fusion Cloud EPM, SAP Analytics Cloud, SAP BPC, Workday Adaptive PlanningGPT-6 LunaAnaplanAnaplanHeldno first choiceOracle Fusion Cloud EPMno first choiceagainst: Anaplan, OneStream, Pigment, Planful
Three alternatives
Oracle Fusion Cloud EPM, Pigment, Workday Adaptive PlanningTwo alternatives
Oracle Fusion Cloud EPM, Workday Adaptive PlanningNine alternatives
Anaplan, Board, CCH Tagetik, IBM Planning Analytics, OneStream, Oracle Fusion Cloud EPM, Pigment, SAP Analytics Cloud, Workday Adaptive PlanningTwo alternatives
Anaplan, Workday Adaptive PlanningMuse Glimmer 30BAnaplanAnaplanHeldno first choiceLimelightagainst: Anaplan, Datarails, OneStream, Pigment, Planful, Vena, Workday Adaptive Planningno first choiceagainst: Abacum, Anaplan, Causal, Cube, Datarails, Drivetrain, IBM Planning Analytics, Jirav, Runway, Vena
Two alternatives
Maxio, Workday Adaptive PlanningOne alternative
Workday Adaptive PlanningTwo alternatives
Budgyt, CentageBold 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 09:07 | yes | 9 | 7 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 09:02 | yes | 3 | 5 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 09:14 | yes | 11 | 23 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-10-01 10:06 | yes | 20 | 7 s |
| Direct recommendation | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 11:15 | yes | 18 | 10 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 11:12 | yes | 18 | 11 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 10:54 | yes | 23 | 49 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 09:08 | yes | 5 | 2 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 09:57 | yes | 8 | 32 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 11:21 | yes | 12 | 17 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 07:32 | yes | 20 | 121 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 07:59 | yes | 13 | 27 s |
| Direct recommendation | GPT-6 Luna | gpt-6-luna | 2026-10-01 08:22 | yes | 5 | 24 s |
| Direct recommendation | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 11:13 | yes | 21 | 19 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 10:14 | no | 0 | 4 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 08:40 | yes | 4 | 5 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 07:41 | yes | 10 | 21 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-10-01 10:47 | yes | 18 | 3 s |
| Paraphrase | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 10:50 | yes | 23 | 7 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 09:37 | yes | 5 | 3 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 10:02 | yes | 21 | 35 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 10:17 | yes | 5 | 2 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 09:56 | no | 0 | 28 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 08:23 | yes | 19 | 25 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 09:13 | yes | 13 | 21 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 09:18 | yes | 5 | 46 s |
| Paraphrase | GPT-6 Luna | gpt-6-luna | 2026-10-01 09:16 | yes | 3 | 12 s |
| Paraphrase | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 11:21 | yes | 14 | 20 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 11:13 | yes | 16 | 10 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 10:27 | yes | 6 | 11 s |
| Comparative | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 09:11 | yes | 10 | 33 s |
| Comparative | Perplexity Sonar | sonar | 2026-10-01 09:02 | yes | 18 | 7 s |
| Comparative | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 11:09 | yes | 22 | 10 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 10:36 | yes | 15 | 12 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 10:56 | yes | 23 | 54 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 10:29 | yes | 5 | 1 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 10:17 | no | 0 | 29 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 10:15 | yes | 21 | 31 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 08:42 | yes | 13 | 80 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 07:55 | yes | 14 | 30 s |
| Comparative | GPT-6 Luna | gpt-6-luna | 2026-10-01 08:19 | yes | 10 | 36 s |
| Comparative | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 10:30 | yes | 15 | 39 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 10:28 | yes | 17 | 9 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 08:47 | yes | 3 | 4 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 07:45 | yes | 24 | 39 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-10-01 08:30 | yes | 20 | 4 s |
| Budget constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 07:51 | yes | 21 | 9 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 10:51 | yes | 5 | 5 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 08:31 | yes | 24 | 41 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 11:01 | yes | 5 | 2 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 09:16 | no | 0 | 30 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 09:22 | yes | 25 | 24 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 11:09 | yes | 22 | 31 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 10:36 | yes | 18 | 66 s |
| Budget constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 08:03 | yes | 2 | 32 s |
| Budget constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 10:53 | yes | 20 | 31 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 07:48 | yes | 18 | 11 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 09:37 | no | 0 | 11 s |
| Scale constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 08:03 | no | 0 | 19 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-10-01 10:48 | yes | 29 | 7 s |
| Scale constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 08:39 | yes | 13 | 7 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 10:18 | no | 0 | 9 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 10:03 | yes | 25 | 61 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 09:12 | yes | 5 | 3 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 08:22 | yes | 17 | 33 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 08:56 | yes | 22 | 28 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 09:51 | yes | 14 | 17 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 10:30 | no | 0 | 9 s |
| Scale constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 08:29 | yes | 3 | 21 s |
| Scale constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 10:45 | yes | 14 | 26 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 07:52 | yes | 16 | 9 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 08:18 | yes | 3 | 7 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 09:06 | yes | 19 | 28 s |
| Negative framing | Perplexity Sonar | sonar | 2026-10-01 09:06 | yes | 17 | 4 s |
| Negative framing | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 08:45 | yes | 21 | 8 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 10:45 | yes | 5 | 4 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 10:21 | yes | 24 | 45 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 07:59 | yes | 5 | 2 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 10:33 | yes | 24 | 89 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 09:34 | yes | 24 | 28 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 11:12 | yes | 23 | 47 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 11:14 | yes | 24 | 42 s |
| Negative framing | GPT-6 Luna | gpt-6-luna | 2026-10-01 09:47 | yes | 4 | 20 s |
| Negative framing | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 10:20 | yes | 23 | 40 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 (Workday) read as Workday Adaptive Planning
Adaptive Insights (now part of Workday) read as Workday Adaptive Planning
IBM read as IBM Planning Analytics
Oracle Cloud EPM Planning read as Oracle Fusion Cloud EPM
Oracle EPM read as Oracle Fusion Cloud EPM
Oracle EPM Cloud read as Oracle Fusion Cloud EPM
Oracle EPM Cloud (Fusion / OneStore) read as Oracle Fusion Cloud EPM
Oracle Fusion Cloud EPM read as Oracle Fusion Cloud EPM
Prophix One read as Prophix
Vena Solutions read as Vena
Wolters Kluwer (CCH Tagetik) read as CCH Tagetik
Workday read as Workday Adaptive Planning
Workday Adaptive read as Workday Adaptive Planning
Unresolved, counted raw
A3 Solutions
Evidanza
Kasima
Oracle NetSuite Planning & Budgeting
Rhythm
SAP Business Technology Platform (BTP) / BPC
Solvency
Talentia CPM
Unit4 FP&A On-Premise
Vareto
Discontinued, still offered
No shut-down product was recommended here.