FP&A platforms
Asked as “FP&A software”, and as “financial planning and analysis platform”, on behalf of a mid-market B2B company. 54 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each.
Standing · first-choice share
20%
Contested · Fathom 15%
20Planful15Fathom13Vena52others
20% of first choices, contested.
Since September 2026↗new leaderNew leader since September 2026: Planful (19%) replaces Vena (15% then, 15% now), 4 points clear, inside the 10-point floor.Planful leads at 19%, replacing Vena, which led at 15% and stands at 15% now: 4 points clear, inside the floor, so the swap reads as unsettled.
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.This pageEnterprise
Anaplan53%Clear leader▲+4Since September 2026: 48% → 51%, +4 points. Inside the 10-point floor: within noise. Read over the models both editions asked.Standing →
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.This pageEnterpriseAnaplan53%Clear leader▲+4Since September 2026: 48% → 51%, +4 points. Inside the 10-point floor: within noise. Read over the models both editions asked.Standing →The standing
Share is the count of first choices across the direct, paraphrase, budget and scale prompts, over all fourteen models, for a mid-market B2B company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrantSince September 2026
01Planful20%18%60accepted challenger▲+8Since September 2026: 10% → 19%, +8 points. Inside the 10-point floor: within noise. Read over the models both editions asked.10% → 19%
Planful20%18%60accepted challenger▲+8Since September 2026: 10% → 19%, +8 points. Inside the 10-point floor: within noise. Read over the models both editions asked.10% → 19%02Fathom15%8%13accepted challenger▲+4Since September 2026: 10% → 15%, +4 points. Inside the 10-point floor: within noise. Read over the models both editions asked.10% → 15%
Fathom15%8%13accepted challenger▲+4Since September 2026: 10% → 15%, +4 points. Inside the 10-point floor: within noise. Read over the models both editions asked.10% → 15%03
Vena13%20%60accepted challenger=heldSince September 2026: 15% → 15%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.15% → 15%
Vena13%20%60accepted challenger=heldSince September 2026: 15% → 15%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.15% → 15%04
Cube7%16%51accepted challenger=heldSince September 2026: 8% → 8%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.8% → 8%
Cube7%16%51accepted challenger=heldSince September 2026: 8% → 8%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.8% → 8%05
Abacum7%6%16accepted challenger▲+4Since September 2026: 2% → 6%, +4 points. Inside the 10-point floor: within noise. Read over the models both editions asked.2% → 6%
Abacum7%6%16accepted challenger▲+4Since September 2026: 2% → 6%, +4 points. Inside the 10-point floor: within noise. Read over the models both editions asked.2% → 6%06
Drivetrain6%0%15accepted challenger▲+4Since September 2026: 2% → 6%, +4 points. Inside the 10-point floor: within noise. Read over the models both editions asked.2% → 6%
Drivetrain6%0%15accepted challenger▲+4Since September 2026: 2% → 6%, +4 points. Inside the 10-point floor: within noise. Read over the models both editions asked.2% → 6%07
Centage4%6%16accepted challenger▲+2Since September 2026: 2% → 4%, +2 points. Inside the 10-point floor: within noise. Read over the models both editions asked.2% → 4%
Centage4%6%16accepted challenger▲+2Since September 2026: 2% → 4%, +2 points. Inside the 10-point floor: within noise. Read over the models both editions asked.2% → 4%08
Clockwork4%0%10accepted challenger▼−12Since September 2026: 15% → 2%, −12 points. Past the 10-point floor: movement. Read over the models both editions asked.15% → 2%
Clockwork4%0%10accepted challenger▼−12Since September 2026: 15% → 2%, −12 points. Past the 10-point floor: movement. Read over the models both editions asked.15% → 2%09
Pigment4%31%35criticized challenger▼−12Since September 2026: 15% → 2%, −12 points. Past the 10-point floor: movement. Read over the models both editions asked.15% → 2%
Pigment4%31%35criticized challenger▼−12Since September 2026: 15% → 2%, −12 points. Past the 10-point floor: movement. Read over the models both editions asked.15% → 2%10
Workday Adaptive Planning4%39%41criticized challenger▲+2Since September 2026: 2% → 4%, +2 points. Inside the 10-point floor: within noise. Read over the models both editions asked.2% → 4%
Workday Adaptive Planning4%39%41criticized challenger▲+2Since September 2026: 2% → 4%, +2 points. Inside the 10-point floor: within noise. Read over the models both editions asked.2% → 4%11
Aleph2%0%16accepted challenger=heldSince September 2026: 2% → 2%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.2% → 2%
Aleph2%0%16accepted challenger=heldSince September 2026: 2% → 2%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.2% → 2%12
LiveFlow2%0%14accepted challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 10-point floor: within noise. Read over the models both editions asked.0% → 2%
LiveFlow2%0%14accepted challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 10-point floor: within noise. Read over the models both editions asked.0% → 2%13
Datarails2%26%39criticized challenger▼−2Since September 2026: 4% → 2%, −2 points. Inside the 10-point floor: within noise. Read over the models both editions asked.4% → 2%
Datarails2%26%39criticized challenger▼−2Since September 2026: 4% → 2%, −2 points. Inside the 10-point floor: within noise. Read over the models both editions asked.4% → 2%Show the five products at 0%, ordered by negative rate
18Anaplan0%49%53criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.0% → 0%
Anaplan0%49%53criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.0% → 0%17
OneStream0%41%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%
OneStream0%41%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%15
Jirav0%20%20accepted challenger▼−2Since September 2026: 2% → 0%, −2 points. Inside the 10-point floor: within noise. Read over the models both editions asked.2% → 0%
Jirav0%20%20accepted challenger▼−2Since September 2026: 2% → 0%, −2 points. Inside the 10-point floor: within noise. Read over the models both editions asked.2% → 0%16
Board0%20%10accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.0% → 0%
Board0%20%10accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.0% → 0%14
Prophix0%8%26accepted challenger▼−6Since September 2026: 6% → 0%, −6 points. Inside the 10-point floor: within noise. Read over the models both editions asked.6% → 0%
Prophix0%8%26accepted challenger▼−6Since September 2026: 6% → 0%, −6 points. Inside the 10-point floor: within noise. Read over the models both editions asked.6% → 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 →
010203040506070809101112131415161718Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative40%
Key
01Planful20%
Planful20%02Fathom15%
Fathom15%03Vena13%
Vena13%04Cube7%
Cube7%05Abacum7%
Abacum7%06Drivetrain6%
Drivetrain6%07Centage4%
Centage4%08Clockwork4%
Clockwork4%09Pigment4%
Pigment4%10Workday Adaptive Planning4%
Workday Adaptive Planning4%11Aleph2%
Aleph2%12LiveFlow2%
LiveFlow2%13Datarails2%
Datarails2%14Prophix0%
Prophix0%15Jirav0%
Jirav0%16Board0%
Board0%17OneStream0%
OneStream0%18Anaplan0%
Anaplan0%What they warned about
Two of fourteen models held their first choice under the paraphrase. Claude Haiku 4.5, Gemini 3.5 Flash, Perplexity Sonar, Grok 4.1 Fast, Mistral Small, DeepSeek V4 Flash, 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.
Anaplan49%
26 of 53 labels negative · 13 of 14 models · 10 hard negative
“Avoid enterprise heavy platforms like Anaplan/OneStream/IBM Planning Analytics unless you have a dedicated model builder and >12-month implementation runway.” Muse Glimmer 30B, negative prompt
Workday Adaptive Planning39%
16 of 41 labels negative · 12 of 14 models · 6 hard negative
“Avoid legacy enterprise solutions (like Workday Adaptive Planning or Oracle Cloud EPM) unless you have a dedicated system administrator.” Gemini 3.5 Flash, paraphrase prompt
Pigment31%
11 of 35 labels negative · 11 of 14 models · 5 hard negative
“targeted at mid-market to enterprise users and may be overkill for smaller organizations” Mistral Small, negative prompt
Planful18%
11 of 60 labels negative · 10 of 14 models · 4 hard negative
“Another enterprise-grade solution that may be unnecessarily complex and expensive for smaller teams.” Mistral Small, 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. 1071 links across 196 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.
38 answers · 58 citations · 12 models
vendor site · G235 answers · 61 citations · 14 models
vendor site · Drivetrain35 answers · 58 citations · 12 models
vendor site · Cubesoftware33 answers · 45 citations · 9 models
vendor site · G233 answers · 34 citations · 12 models
vendor site · Centage28 answers · 40 citations · 10 models
28 answers · 40 citations · 11 models
vendor site · Datarails26 answers · 32 citations · 12 models
25 answers · 29 citations · 11 models
vendor site · Prophix25 answers · 29 citations · 10 models
vendor site · Board19 answers · 22 citations · 11 models
vendor site · Cledara19 answers · 19 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
28 answers · 10 models
26 answers · 10 models
24 answers · 10 models
23 answers · 11 models
19 answers · 9 models
19 answers · 12 models
18 answers · 11 models
18 answers · 8 models
16 answers · 8 models
Search against answers
Each company's standing in the answers beside its site's footprint in Google search, one row a site: the products the models named on it with their shares, and the share they add up to; monthly searches on Google, and DataForSEO's estimate of AI search demand (modeled from search signals, directional, not a count of queries to any assistant), for the most-searched of the company's and its products' names (the name is in each row's hover text); estimated monthly organic visits to the site; and its best position in Google's top ten for “best 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 |
|---|---|---|---|---|---|---|---|---|
| Planful planful.com | 20% | 341 | 3,600 | 685,726 | 58,997 | $137 | 120 | |
| Fathom fathomhq.com | 15% | 204 | 90,500 | 6,657 | 74,881 | 38 | ||
| Vena venasolutions.com | 13% | 344 | 12,100 | 3,928 | 62,294 | $13,792 | 58 | |
| Cube cubesoftware.com | 7% | 349 | 90,500 | 152,613 | 168,764 | 13 | 1 | |
| Abacum abacum.ai | 7% | 73 | 1,300 | 18 | 79,014 | $26 | 16 | 7 |
| Drivetrain drivetrain.ai | 6% | 103 | 18,100 | 2,818 | 8,983 | $134 | 1 | |
| Centage centage.com | 4% | 36 | 1,000 | 11 | 1,692 | 6 | 5 | |
| Clockwork clockwork.ai | 4% | 55 | 27,100 | 7,178 | 463 | 4 | ||
| Pigment pigment.com | 4% | 165 | 49,500 | 25,645 | 12,248 | 22 | ||
| Workday workday.com Workday Adaptive Planning 4% | 4% | 407 | 1,220,000 | 23,848 | 2,213,450 company | 80 |
Google's top ten for the three searches hold 20 sites; 6 of them are among the sites the models cited here (centage.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 a mid-market B2B company?”Paraphrase“Which financial planning and analysis platform would you recommend to a mid-sized B2B company?”Comparative“What are the top FP&A platforms and how do they differ?”Budget-constrained“What is the best FP&A software for a company with a limited budget?”Scale-constrained“We are a 500 person company evaluating a FP&A software. What should we look at?”Negative“Which FP&A platforms should I avoid or be cautious about?”
Claude Haiku 4.5Aleph, CubePlanfulChangedAleph, Workday Adaptive Planningno first choiceno first choiceagainst: Board, Oracle Essbase, Oracle NetSuite, Pigment, Planful, Workday Adaptive Planning
Three alternatives
Pigment, Prophix, Workday Adaptive PlanningThree alternatives
Centage, Prophix, VenaNine alternatives
Anaplan, Centage, Cube, Datarails, OneStream, Pigment, Planful, Prophix, RunwayFive alternatives
Causal, Excel, Fathom, Jirav, PlanGuruGPT-5.4 miniPlanfulagainst: AnaplanPlanfulHeldno first choiceagainst: Oracle Fusion Cloud EPM, SAP Analytics CloudFathom, LiveFlowagainst: Anaplan, Datarails, OneStream, Planful, Vena, Workday Adaptive Planningno first choiceagainst: Anaplan, Fathom, Pigment, Planful, Vena
Two alternatives
Pigment, VenaTwo alternatives
Anaplan, VenaThree alternatives
Coefficient, Cube, JoiinGemini 3.5 FlashVenaCube, PigmentChangedagainst: Anaplan, Oracle Fusion Cloud EPM, Workday Adaptive Planningno first choiceagainst: AnaplanFathom, G-Acconagainst: Anaplan, Causal, Finmark, Pry, Workday Adaptive Planningno first choiceagainst: Oracle Hyperion, SAP BPCagainst: Anaplan, Cube, Datarails, NetSuite Planning and Budgeting - NSPB, Planful, Vena, Workday Adaptive Planning
Five alternatives
Aleph, Bob Finance, Cube, Pigment, PlanfulFour alternatives
Aleph, Bob Finance, Planful, VenaEight alternatives
Bob Finance, Cube, Datarails, OneStream, Pigment, Planful, Vena, Workday Adaptive PlanningFive alternatives
Adlega, Clockwork, Cube, Jirav, LiveFlowPerplexity SonarAbacum, PlanfulVenaChangedAnaplanCubeagainst: QuickBooks Onlineno first choiceagainst: Anaplan, OneStream, Oracle Essbase, Pigment, Planful
Two alternatives
Vena, Workday Adaptive PlanningOne alternative
PlanfulNine alternatives
Board, Cube, Datarails, IBM Planning Analytics, OneStream, Planful, Prophix, Vena, Workday Adaptive PlanningTwo alternatives
Fathom, FinmarkGrok 4.1 FastVenaPlanfulChangedno first choiceFathomagainst: Cube, Datarails, Jiravno first choiceagainst: Oracle, SAPagainst: Anaplan, Datarails, OneStream, Pigment, Planful, Vena, Workday Adaptive Planning
Four alternatives
Centage, Cube, Datarails, PlanfulTwo alternatives
Centage, ProphixThree alternatives
Clockwork, Google Sheets or Microsoft Excel, Reach ReportingMistral SmallCentageAbacum, DrivetrainChangedWorkday Adaptive PlanningClockwork, FathomWorkday Adaptive Planningagainst: Oracle Hyperionagainst: Anaplan, Pigment, Planful, Workday Adaptive Planning
Five alternatives
Abacum, Drivetrain, Planful, Prophix, VenaTwo alternatives
Datarails, PlanfulTwo alternatives
Anaplan, PigmentTwo alternatives
LiveFlow, Reach ReportingSix alternatives
Anaplan, Cube, Planful, Prophix, SAP Analytics Cloud, VenaDeepSeek V4 FlashDatarails, DrivetrainPlanfulChangedno first choicePlanGuruagainst: Anaplan, Centage, Cube, Pigment, VenaWorkday Adaptive Planningagainst: Anaplan, Board, OneStreamagainst: Anaplan, Cube, Datarails, Jirav, OneStream, Vena, Workday Adaptive Planning
Five alternatives
Cube, Jirav, Planful, Prophix, Workday Adaptive PlanningFour alternatives
Abacum, Cube, Jirav, ProphixFourteen alternatives
Abacum, Anaplan, Board, Centage, Cube, Datarails, Drivetrain, Jirav, OneStream, Pigment, Planful, SAP Analytics Cloud Planning, Vena, Workday Adaptive PlanningThree alternatives
Clockwork, IBM Planning Analytics, LiveFlowFive alternatives
Centage, Limelight, Planful, Prophix, VenaLlama 4 Maverickno first choiceno first choiceHeldno first choiceno first choiceno first choiceagainst: Anaplan, Pigment, Planful, Vena, Workday Adaptive Planning
Qwen 3.7 FlashVenaPlanfulChangedagainst: NetSuite SuitePlanning, Workday Adaptive PlanningAnaplan, OneStreamCheddaragainst: Anaplan, Cube, Datarails, Venano first choiceagainst: Anaplan, Oracle Hyperion, SAP BPCagainst: Abacum, Anaplan, Cube, Jirav, Mosaic, Pigment, Workday Adaptive Planning
Three alternatives
Aleph, Cube, PlanfulTwo alternatives
Pulse, VenaThree alternatives
Oracle Fusion Cloud EPM, Vena, Workday Adaptive PlanningThree alternatives
Float, Kretio, LivePlanKimi K2Cubeagainst: MosaicVenaChangedagainst: Anaplan, OneStreamno first choiceFathom, Finmark, Syft Analyticsagainst: Excel/Google SheetsCentage, Venaagainst: Anaplan, Workday Adaptive Planningagainst: Anaplan, Cube, Datarails, Jirav, Oracle Hyperion, Pigment, Prophix, SAP BPC, Vena, Workday Adaptive Planning
Five alternatives
Aleph, Datarails, Drivetrain, Jirav, VenaTwo alternatives
Centage, CubeTen alternatives
Anaplan, Cube, Datarails, OneStream, Oracle Fusion Cloud EPM, Pigment, Planful, Prophix, Vena, Workday Adaptive PlanningOne alternative
JiravTwo alternatives
Planful, ProphixGLM 4.7 FlashXAbacum, DrivetrainPlanfulChangedno first choiceFathomagainst: Anaplanno first choiceagainst: Anaplan, OneStream, Pigment, Planful, Prophix, Vena, Workday Adaptive Planning
Two alternatives
Cube, VenaThree alternatives
Cube, Datarails, VenaFour alternatives
Budgyt, Cube, LiveFlow, PlanGuruMiniMax M2.5VenaPlanfulChangedWorkday Adaptive PlanningFathom, Finmarkagainst: Cubeno first choiceagainst: Anaplan, Pigment, Planful, Vena, Workday Adaptive Planning
Two alternatives
Drivetrain, ParseThree alternatives
Anaplan, Prophix, VenaFive alternatives
Anaplan, Centage, Cube, Planful, VenaFive alternatives
Excel or Google Sheets, Jirav, LiveFlow, PivotXL, PlanGuruGPT-6 LunaAbacumPlanfulChangedno first choiceFathomagainst: Datarailsno first choiceagainst: Anaplan, Datarails, Mosaic, OneStream, Vena
Two alternatives
Planful, VenaOne alternative
VenaSeven alternatives
Anaplan, OneStream, Oracle Fusion Cloud EPM, Pigment, Planful, Vena, Workday Adaptive PlanningTwo alternatives
Excel, Google SheetsMuse Glimmer 30BPigmentPlanfulChangedagainst: Anaplanno first choiceClockworkno first choiceagainst: Anaplan, Datarails, IBM Planning Analytics, NetSuite Planning and Budgeting, OneStream, Planful, Workday Adaptive Planning
Seven alternatives
Abacum, Aleph, Centage, Cube, Datarails, Planful, VenaFour alternatives
Cube, Pigment, Prophix, VenaFour alternatives
Centage, Fathom, Jirav, LiveFlowBold 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 09:47 | yes | 9 | 8 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 10:47 | yes | 2 | 5 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 09:43 | yes | 13 | 20 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-10-01 08:41 | yes | 20 | 5 s |
| Direct recommendation | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 09:26 | yes | 23 | 50 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 09:31 | yes | 5 | 6 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 09:04 | yes | 20 | 25 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 09:37 | yes | 5 | 2 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 10:50 | yes | 9 | 45 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 10:55 | yes | 15 | 21 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 10:58 | yes | 24 | 27 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 08:00 | yes | 5 | 11 s |
| Direct recommendation | GPT-6 Luna | gpt-6-luna | 2026-10-01 08:07 | yes | 3 | 15 s |
| Direct recommendation | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 10:54 | yes | 18 | 28 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 09:10 | yes | 17 | 9 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 09:38 | yes | 4 | 4 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 09:18 | yes | 16 | 30 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-10-01 10:36 | yes | 17 | 2 s |
| Paraphrase | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 11:07 | yes | 21 | 10 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 09:14 | yes | 5 | 4 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 10:08 | yes | 23 | 28 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 10:58 | yes | 5 | 2 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 07:30 | no | 0 | 27 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 07:32 | yes | 18 | 21 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 08:01 | yes | 15 | 19 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 11:09 | yes | 10 | 16 s |
| Paraphrase | GPT-6 Luna | gpt-6-luna | 2026-10-01 08:35 | yes | 3 | 11 s |
| Paraphrase | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 08:18 | yes | 14 | 23 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 09:52 | yes | 15 | 12 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 09:23 | yes | 6 | 8 s |
| Comparative | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 09:45 | yes | 8 | 20 s |
| Comparative | Perplexity Sonar | sonar | 2026-10-01 09:45 | yes | 19 | 10 s |
| Comparative | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 07:30 | yes | 23 | 8 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 07:48 | yes | 10 | 8 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 09:42 | yes | 23 | 31 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 09:32 | yes | 5 | 2 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 10:49 | no | 0 | 29 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 10:47 | yes | 23 | 30 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 09:38 | yes | 23 | 34 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 09:37 | yes | 24 | 56 s |
| Comparative | GPT-6 Luna | gpt-6-luna | 2026-10-01 10:00 | yes | 8 | 26 s |
| Comparative | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 10:19 | yes | 25 | 33 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 08:24 | yes | 9 | 6 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 08:43 | yes | 3 | 5 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 07:39 | yes | 22 | 30 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-10-01 09:16 | yes | 23 | 5 s |
| Budget constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 09:48 | yes | 21 | 16 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 10:40 | yes | 5 | 3 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 09:57 | yes | 21 | 21 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 10:04 | yes | 5 | 2 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 10:32 | no | 0 | 38 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 11:21 | yes | 15 | 19 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 07:55 | yes | 23 | 44 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 07:31 | yes | 25 | 33 s |
| Budget constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 10:33 | yes | 2 | 16 s |
| Budget constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 07:36 | yes | 23 | 31 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 10:30 | no | 0 | 6 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 08:27 | no | 0 | 7 s |
| Scale constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 11:10 | no | 0 | 15 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-10-01 10:15 | yes | 20 | 5 s |
| Scale constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 09:55 | yes | 14 | 8 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 09:53 | no | 0 | 8 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 08:38 | yes | 23 | 37 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 07:32 | yes | 5 | 3 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 07:51 | no | 0 | 28 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 10:27 | yes | 14 | 21 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 09:52 | yes | 20 | 93 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 10:02 | yes | 5 | 21 s |
| Scale constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 08:48 | yes | 2 | 17 s |
| Scale constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 07:30 | yes | 10 | 23 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 10:24 | yes | 18 | 9 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 09:11 | yes | 4 | 6 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 08:29 | yes | 17 | 33 s |
| Negative framing | Perplexity Sonar | sonar | 2026-10-01 09:53 | yes | 20 | 5 s |
| Negative framing | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 11:27 | yes | 21 | 9 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 08:19 | yes | 5 | 4 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 07:43 | yes | 25 | 69 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 10:55 | yes | 5 | 1 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 10:19 | yes | 10 | 27 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 11:01 | yes | 24 | 42 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 09:11 | yes | 24 | 60 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 09:43 | yes | 10 | 17 s |
| Negative framing | GPT-6 Luna | gpt-6-luna | 2026-10-01 10:55 | yes | 3 | 23 s |
| Negative framing | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 10:18 | yes | 24 | 32 s |
Normalization in this category
Every judgment call made between the raw labels and the numbers above, listed so it is visible and reversible.
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Category-scoped readings
Adaptive Insights read as Workday Adaptive Planning
Clockwork.ai read as Clockwork
Oracle Cloud EPM Planning read as Oracle Fusion Cloud EPM
Oracle EPM Cloud read as Oracle Fusion Cloud EPM
Prophix One read as Prophix
Vena Solutions read as Vena
Unresolved, counted raw
Cheddar
FinanceOS
Google Sheets or Microsoft Excel
Kretio
NetSuite Planning and Budgeting - NSPB
NetSuite SuitePlanning
Parse
Plika
QOBRA
Retriever
Syntellis
Zohos Analytics
Discontinued, still offered
No shut-down product was recommended here.