FP&A platforms for small business buyers
Asked as “FP&A software”, and as “financial planning and analysis platform”, on behalf of a small B2B company. 57 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each.
Standing · first-choice share
25%
Contested · Clockwork 11%
25Fathom11Clockwork09Datarails56others
25% of first choices, contested.
Since September 2026↗new leaderNew leader since September 2026: Fathom (27%) replaces Clockwork (60% then, 10% now), 17 points clear, past the 10-point floor.Fathom leads at 27%, replacing Clockwork, which led at 60% and stands at 10% now: 17 points clear, past the floor. The verdict moved from clear leader to contested.
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.This pageMid-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.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.This pageMid-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.Standing →The standing
Share is the count of first choices across the direct, paraphrase, budget and scale prompts, over all fourteen models, for a small B2B company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrantSince September 2026
01Fathom25%0%35accepted challenger▲+14Since September 2026: 13% → 27%, +14 points. Past the 10-point floor: movement. Read over the models both editions asked.13% → 27%
Fathom25%0%35accepted challenger▲+14Since September 2026: 13% → 27%, +14 points. Past the 10-point floor: movement. Read over the models both editions asked.13% → 27%02
Clockwork11%0%30accepted challenger▼−49Since September 2026: 60% → 10%, −49 points. Past the 10-point floor: movement. Read over the models both editions asked.60% → 10%
Clockwork11%0%30accepted challenger▼−49Since September 2026: 60% → 10%, −49 points. Past the 10-point floor: movement. Read over the models both editions asked.60% → 10%03
Datarails9%13%52accepted challenger▲+8Since September 2026: 2% → 10%, +8 points. Inside the 10-point floor: within noise. Read over the models both editions asked.2% → 10%
Datarails9%13%52accepted challenger▲+8Since September 2026: 2% → 10%, +8 points. Inside the 10-point floor: within noise. Read over the models both editions asked.2% → 10%04
Jirav9%13%45accepted challenger▲+6Since September 2026: 4% → 10%, +6 points. Inside the 10-point floor: within noise. Read over the models both editions asked.4% → 10%
Jirav9%13%45accepted challenger▲+6Since September 2026: 4% → 10%, +6 points. Inside the 10-point floor: within noise. Read over the models both editions asked.4% → 10%05
Cube7%14%56accepted challenger▼−2Since September 2026: 9% → 6%, −2 points. Inside the 10-point floor: within noise. Read over the models both editions asked.9% → 6%
Cube7%14%56accepted challenger▼−2Since September 2026: 9% → 6%, −2 points. Inside the 10-point floor: within noise. Read over the models both editions asked.9% → 6%06
LiveFlow5%8%24accepted challenger▲+6Since September 2026: 0% → 6%, +6 points. Inside the 10-point floor: within noise. Read over the models both editions asked.0% → 6%
LiveFlow5%8%24accepted challenger▲+6Since September 2026: 0% → 6%, +6 points. Inside the 10-point floor: within noise. Read over the models both editions asked.0% → 6%07
Float4%0%10accepted challenger▲+4Since September 2026: 0% → 4%, +4 points. Inside the 10-point floor: within noise. Read over the models both editions asked.0% → 4%
Float4%0%10accepted challenger▲+4Since September 2026: 0% → 4%, +4 points. Inside the 10-point floor: within noise. Read over the models both editions asked.0% → 4%08
Aleph2%0%11accepted 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%11accepted challenger=heldSince September 2026: 2% → 2%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.2% → 2%09
Mosaic2%17%12accepted challenger▼−2Since September 2026: 2% → 0%, −2 points. Inside the 10-point floor: within noise. Read over the models both editions asked.2% → 0%
Mosaic2%17%12accepted challenger▼−2Since September 2026: 2% → 0%, −2 points. Inside the 10-point floor: within noise. Read over the models both editions asked.2% → 0%10
Vena2%39%33criticized challenger=heldSince September 2026: 2% → 2%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.2% → 2%
Vena2%39%33criticized challenger=heldSince September 2026: 2% → 2%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.2% → 2%11
Pigment2%53%15criticized challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 10-point floor: within noise. Read over the models both editions asked.0% → 2%
Pigment2%53%15criticized challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 10-point floor: within noise. Read over the models both editions asked.0% → 2%12Planful2%46%26criticized challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 10-point floor: within noise. Read over the models both editions asked.0% → 2%
Planful2%46%26criticized challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 10-point floor: within noise. Read over the models both editions asked.0% → 2%Show the four products at 0%, ordered by negative rate
16Anaplan0%92%37criticized 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%92%37criticized 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
Workday Adaptive Planning0%76%34criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.0% → 0%
Workday Adaptive Planning0%76%34criticized 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%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%13
Centage0%9%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%
Centage0%9%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%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
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 →
01020304050607080910111213141516Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative40%
Key
01Fathom25%
Fathom25%02Clockwork11%
Clockwork11%03Datarails9%
Datarails9%04Jirav9%
Jirav9%05Cube7%
Cube7%06LiveFlow5%
LiveFlow5%07Float4%
Float4%08Aleph2%
Aleph2%09Mosaic2%
Mosaic2%10Vena2%
Vena2%11Pigment2%
Pigment2%12Planful2%
Planful2%13Centage0%
Centage0%14Prophix0%
Prophix0%15Workday Adaptive Planning0%
Workday Adaptive Planning0%16Anaplan0%
Anaplan0%What they warned about
Three of fourteen models held their first choice under the paraphrase. Claude Haiku 4.5, 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.
Anaplan92%
34 of 37 labels negative · 14 of 14 models · 19 hard negative
“Platforms like Workday Adaptive Planning, Anaplan, or Vena are designed for large, complex organizations and may be too costly and complex for small businesses.” Llama 4 Maverick, negative prompt
Workday Adaptive Planning76%
26 of 34 labels negative · 14 of 14 models · 13 hard negative
“**Avoid enterprise-grade FP&A platforms**: Platforms like Workday Adaptive Planning, Anaplan, or Vena are designed for large, complex organizations and may be too costly and complex for small businesses.” Llama 4 Maverick, negative prompt
Vena39%
13 of 33 labels negative · 11 of 14 models · 4 hard negative
“**Workday Adaptive Planning, Anaplan, and Vena**... making them poor fits for most small businesses.” Perplexity Sonar, negative prompt
Planful46%
12 of 26 labels negative · 8 of 14 models · 5 hard negative
“Heavy enterprise tools with custom pricing, high complexity, and long timelines. Not built for quick SMB adoption” 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
75 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. 1051 links across 175 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.
vendor site · G243 answers · 90 citations · 12 models
vendor site · Drivetrain41 answers · 49 citations · 13 models
vendor site · Clockwork37 answers · 52 citations · 12 models
vendor site · Datarails37 answers · 50 citations · 12 models
vendor site · Cubesoftware36 answers · 57 citations · 12 models
33 answers · 40 citations · 12 models
29 answers · 37 citations · 10 models
26 answers · 31 citations · 10 models
vendor site · G226 answers · 26 citations · 9 models
24 answers · 32 citations · 9 models
23 answers · 23 citations · 10 models
vendor site · Cledara21 answers · 21 citations · 11 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.
37 answers · 12 models
33 answers · 11 models
26 answers · 9 models
23 answers · 10 models
22 answers · 11 models
21 answers · 11 models
21 answers · 10 models
19 answers · 8 models
19 answers · 9 models
19 answers · 9 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 |
|---|---|---|---|---|---|---|---|---|
| Fathom fathomhq.com | 25% | 204 | 90,500 | 6,657 | 74,881 | 38 | ||
| Clockwork clockwork.ai | 11% | 55 | 27,100 | 7,178 | 463 | 4 | ||
| Datarails datarails.com | 9% | 303 | 6,600 | 134 | 18,964 | $16,697 | 107 | |
| Jirav jirav.com | 9% | 151 | 720 | 15 | 3,780 | 2 | ||
| Cube cubesoftware.com Cube 7%, Cubesoftware 2% | 9% | 349 | 90,500 | 152,613 | 168,764 | 13 | 1 | |
| LiveFlow liveflow.com | 5% | 95 | 1,300 | 19 | 94,846 | 4 | ||
| Float floatapp.com | 4% | 139 | 60,500 | 177,387 | 11,199 | 2 | ||
| Drivetrain drivetrain.ai | 4% | 103 | 18,100 | 2,818 | 8,983 | $134 | 1 | |
| Google Sheets google.com | 4% | 100 | 3,350,000 | 53,730 | 1,800,358,416 | $465,944 | 5 | |
| Aleph getaleph.com | 2% | 42 | 18,100 | 1,663 | 7,310 | 0 | 3 |
Google's top ten for the three searches hold 20 sites; 6 of them are among the sites the models cited here (corporatefinanceinstitute.com, cubesoftware.com, g2.com, getaleph.com, golimelight.com, thefinanceweekly.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 small B2B company?”Paraphrase“Which financial planning and analysis platform would you recommend to a small business that sells to other businesses?”Comparative“What are the top FP&A platforms for a small team and how do they differ?”Budget-constrained“What is the best FP&A software for a small company with a tight budget?”Scale-constrained“We are a 30 person company evaluating a FP&A software. What should we look at?”Negative“Which FP&A platforms should a small business avoid or be cautious about?”
Claude Haiku 4.5JiravPlanfulChangedJiravDatarailsno first choiceagainst: Anaplan, Cube, Datarails, Mosaic, Vena, Workday Adaptive Planning
Four alternatives
Clockwork, Datarails, Prophix, VenaThree alternatives
Float, Vimcal/Mosaic, Workday Adaptive PlanningThree alternatives
Centage, Cube, DatarailsThree alternatives
Cube, Jirav, MosaicGPT-5.4 miniFathomagainst: Planful, Workday Adaptive PlanningFathomHeldDatarailsagainst: VenaFathom, LiveFlowagainst: Anaplanno first choiceagainst: Anaplan, Datarails, IBM Planning Analytics, Vena, Workiva
Two alternatives
Clockwork, DatarailsThree alternatives
Cube, Datarails, LiveFlowThree alternatives
Cube, Jirav, ProphixTwo alternatives
Cube, JoiinGemini 3.5 FlashClockworkagainst: Anaplan, Causal, Finmark, Pigment, Pry, Workday Adaptive PlanningClockworkHeldCube, Parallelagainst: Anaplan, Workday Adaptive PlanningAdlegaagainst: Anaplan, Cube, Datarails, Finmark, Jirav, Pry, Workday Adaptive PlanningClockworkagainst: Anaplan, Pigment, Planful, Workday Adaptive Planningagainst: Anaplan, Board, OneStream, Oracle Fusion Cloud EPM, Pigment, Planful, Vena, Workday Adaptive Planning
Six alternatives
Cube, Datarails, Fathom, Jirav, Mosaic, RunwayFive alternatives
Aleph, Cube, Jirav, Mosaic, RunwayEight alternatives
Aleph, Bob Finance, Clockwork, Datarails, Fathom, Jirav, LiveFlow, RunwayThree alternatives
Clockwork, Coefficient, FathomSeven alternatives
Causal, Coefficient, Cube, Fathom, Jirav, LiveFlow, ParallelPerplexity SonarDatarailsLiveFlowChangedAleph, CubeFathomagainst: Finmarkno first choiceagainst: Anaplan, Cube, Datarails, Jirav, Mosaic, Vena, Workday Adaptive Planning
Two alternatives
Cube, JiravOne alternative
JiravFour alternatives
Datarails, Jirav, Mosaic, ProphixTwo alternatives
Cube, LiveFlowGrok 4.1 FastFathom, LiveFlowagainst: Anaplan, Cube, Workday Adaptive PlanningFathomChangedCube, Jiravagainst: Anaplan, Workday Adaptive PlanningFathomagainst: Jedox, Planfulno first choiceagainst: Anaplanagainst: Anaplan, Oracle Hyperion, Planful, Vena, Workday Adaptive Planning
Two alternatives
Clockwork, DatarailsTwo alternatives
Datarails, JiravThree alternatives
Datarails, LiveFlow, VenaThree alternatives
Google Sheets or Excel with add-ons, LiveFlow, Reach ReportingSix alternatives
Abacum, Clockwork, Cube, Datarails, Fathom, VenaMistral SmallCube, DatarailsSaaSGrid, Sage IntacctChangedagainst: AnaplanCube, Datarails, Jiravagainst: AnaplanFathomno first choiceagainst: Anaplan, Vena, Workday Adaptive Planning
Three alternatives
IBM Planning Analytics, Planful, VenaOne alternative
DrivetrainFour alternatives
Limelight, Pigment, Planful, VenaThree alternatives
Clockwork, LiveFlow, Reach ReportingDeepSeek V4 FlashClockworkagainst: DatarailsFathomChangedagainst: Anaplan, Workday Adaptive PlanningCube, Datarailsagainst: JedoxFathomagainst: Cube, Jirav, Limelight, LiveFlowno first choiceagainst: Anaplan, Pigment, Planful, Venaagainst: Anaplan, Jedox, Pigment, Planful, Workday Adaptive Planning
Four alternatives
Aleph, Cube, Jirav, MosaicTwo alternatives
Budgyt, CubeThree alternatives
Jirav, Pigment, VenaThree alternatives
Clockwork, Excel, Google SheetsEight alternatives
Abacum, Aleph, Centage, Clockwork, Cube, Datarails, Fathom, PlanGuruLlama 4 Maverickno first choiceno first choiceHeldDatarails, ProphixExcel-based FP&A tools, Google Sheetsno first choiceagainst: Anaplan, Vena, Workday Adaptive Planning
Four alternatives
Clockwork, Fathom, LiveFlow, Reach ReportingQwen 3.7 FlashCube, Pigmentagainst: Datarails, NetSuite, SAPFloatChangedCube, JiravFathomagainst: Anaplan, LiveFlow, Workday Adaptive Planningno first choiceagainst: Anaplan, Oracle Hyperion, SAPagainst: Anaplan, Oracle Fusion Cloud EPM, SAP, Vena, Workday Adaptive Planning
Three alternatives
Fathom, Float, Microsoft Power BITwo alternatives
Datarails, FathomTwo alternatives
Datarails, PigmentOne alternative
Excel/Google SheetsKimi K2Jiravagainst: Anaplan, Workday Adaptive PlanningClockworkChangedCube, DatarailsFathomagainst: DatarailsAleph, Cube, Datarailsagainst: Anaplan, Jirav, Workday Adaptive Planningagainst: Anaplan, Board, CCH Tagetik, Oracle Fusion Cloud EPM, Pigment, Planful, Prophix, Vena, Workday Adaptive Planning
Four alternatives
Centage, Cube, Datarails, MosaicTwo alternatives
Cube, JiravFour alternatives
Centage, Clockwork, Jirav, VenaTwo alternatives
Cube, JiravThree alternatives
Clockwork, Limelight, LiveFlowGLM 4.7 FlashXFathomagainst: Budgyt, MonitrJiravChangedAlephJiravagainst: Anaplan, Cube, VenaDatarails, Venaagainst: Anaplan, Cube, IBM Planning Analytics, Microsoft Dynamics 365 Finance, Oracle Hyperion, Pigment, Planful, SAP IBP, Vena, Workday Adaptive Planning, Workiva
Two alternatives
Causal, JiravFour alternatives
Cube, Datarails, Fathom, LivePlanFive alternatives
Cube, Datarails, Fathom, Planful, VenaTwo alternatives
Excel/Google Sheets, QuickBooks OnlineOne alternative
PlanfulMiniMax M2.5Cubesoftware, FloatDrivetrain, JiravChangedCubeQuickBooks Onlineagainst: Anaplan, Pigment, Workday Adaptive Planningno first choiceagainst: Anaplan, Workday Adaptive Planningagainst: Anaplan, Prophix, Workday Adaptive Planning
Three alternatives
Cledara, Datarails, DrivetrainTwo alternatives
Float, QuickBooksThree alternatives
Datarails, Planful, VenaThree alternatives
Cube, LiveFlow, XeroGPT-6 LunaDrivetrain, PlanGuruagainst: JiravFathomChangedagainst: JiravJiravExcel, Google Sheetsno first choiceagainst: Anaplan, Cube, Planful, Workday Adaptive Planning
One alternative
LiveFlowFour alternatives
Abacum, Centage, Cube, DatarailsOne alternative
JiravMuse Glimmer 30BClockworkAbacum, MosaicChangedClockworkagainst: Anaplan, PlanfulCubeagainst: Centageno first choiceagainst: Anaplan, OneStream, Planful, Prophix, Workday Adaptive Planning
Five alternatives
Cube, Datarails, Fathom, Jirav, LiveFlowThree alternatives
Cube, Datarails, FloatEight alternatives
Abacum, Causal, Cube, Datarails, Jirav, LiveFlow, Pigment, VenaSix alternatives
Clockwork, Fathom, Finmark, LiveFlow, PivotXL, PlanGuruNine alternatives
Aleph, Causal, Centage, Clockwork, Cube, Datarails, Jirav, Pigment, VenaBold 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 10:44 | yes | 9 | 7 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 08:30 | yes | 3 | 5 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 10:09 | yes | 19 | 29 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-10-01 08:37 | yes | 16 | 3 s |
| Direct recommendation | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 11:04 | yes | 20 | 9 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 08:09 | yes | 12 | 8 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 08:55 | yes | 22 | 25 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 09:56 | yes | 5 | 1 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 08:25 | no | 0 | 34 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 07:55 | yes | 14 | 23 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 08:48 | yes | 23 | 67 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 09:56 | yes | 10 | 24 s |
| Direct recommendation | GPT-6 Luna | gpt-6-luna | 2026-10-01 08:48 | yes | 3 | 14 s |
| Direct recommendation | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 11:24 | yes | 12 | 38 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 11:02 | no | 0 | 5 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 10:28 | yes | 2 | 4 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 11:06 | yes | 11 | 24 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-10-01 10:58 | yes | 19 | 2 s |
| Paraphrase | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 08:09 | yes | 23 | 7 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 09:54 | yes | 5 | 4 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 09:27 | yes | 24 | 26 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 08:13 | yes | 5 | 3 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 11:21 | no | 0 | 55 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 07:53 | yes | 24 | 22 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 09:58 | yes | 22 | 20 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 11:02 | yes | 5 | 21 s |
| Paraphrase | GPT-6 Luna | gpt-6-luna | 2026-10-01 07:42 | yes | 3 | 23 s |
| Paraphrase | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 11:09 | yes | 15 | 21 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 10:09 | yes | 17 | 11 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 08:27 | yes | 6 | 7 s |
| Comparative | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 08:00 | yes | 19 | 28 s |
| Comparative | Perplexity Sonar | sonar | 2026-10-01 10:29 | yes | 14 | 4 s |
| Comparative | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 10:27 | yes | 20 | 8 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 09:45 | yes | 8 | 8 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 07:37 | yes | 25 | 35 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 08:18 | yes | 5 | 3 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 08:43 | yes | 15 | 64 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 10:05 | yes | 22 | 31 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 11:18 | yes | 19 | 82 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 08:23 | yes | 25 | 26 s |
| Comparative | GPT-6 Luna | gpt-6-luna | 2026-10-01 09:32 | yes | 4 | 22 s |
| Comparative | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 08:59 | yes | 15 | 40 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 07:39 | yes | 9 | 6 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 11:24 | yes | 3 | 5 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 11:06 | yes | 25 | 28 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-10-01 07:47 | yes | 15 | 2 s |
| Budget constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 11:30 | yes | 20 | 10 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 10:44 | yes | 5 | 4 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 07:57 | yes | 20 | 20 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 07:42 | yes | 5 | 2 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 10:40 | yes | 14 | 38 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 10:16 | yes | 10 | 14 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 11:20 | yes | 23 | 108 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 11:12 | yes | 22 | 32 s |
| Budget constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 07:31 | yes | 1 | 21 s |
| Budget constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 08:31 | yes | 15 | 28 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 07:59 | no | 0 | 5 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 11:14 | no | 0 | 8 s |
| Scale constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 10:57 | yes | 17 | 29 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-10-01 11:11 | yes | 18 | 6 s |
| Scale constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 11:15 | yes | 17 | 7 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 08:10 | no | 0 | 7 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 11:11 | yes | 15 | 33 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 09:41 | yes | 5 | 3 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 08:42 | no | 0 | 28 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 09:36 | yes | 14 | 29 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 10:30 | yes | 23 | 61 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 08:20 | no | 0 | 8 s |
| Scale constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 10:05 | yes | 1 | 14 s |
| Scale constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 07:40 | yes | 14 | 25 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 08:23 | yes | 15 | 10 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 08:52 | yes | 3 | 5 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 09:59 | yes | 24 | 30 s |
| Negative framing | Perplexity Sonar | sonar | 2026-10-01 11:22 | yes | 17 | 4 s |
| Negative framing | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 10:06 | yes | 20 | 8 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 10:31 | yes | 5 | 2 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 08:03 | yes | 23 | 45 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 10:46 | yes | 5 | 3 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 08:28 | no | 0 | 35 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 10:24 | yes | 21 | 29 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 07:56 | yes | 21 | 62 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 09:44 | yes | 20 | 42 s |
| Negative framing | GPT-6 Luna | gpt-6-luna | 2026-10-01 10:58 | yes | 4 | 21 s |
| Negative framing | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 08:55 | yes | 22 | 36 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
Clockwork.ai read as Clockwork
Oracle EPM (Hyperion / Fusion Cloud) read as Oracle Fusion Cloud EPM
Oracle EPM Cloud (Hyperion) read as Oracle Fusion Cloud EPM
Vena Solutions read as Vena
Workday read as Workday Adaptive Planning
Workday Adaptive read as Workday Adaptive Planning
Unresolved, counted raw
Coram Group
Cubewise
Dask
Excel with templates
Excel-based FP&A tools
Google Sheets or Excel with add-ons
Kintana
SAP IBP (Integrated Business Planning)
Vimcal/Mosaic
Zoho FP&A
Discontinued, still offered
No shut-down product was recommended here.