Index › Finance › Planning and analysis › FP&A platforms › Small business · November 2026 Edition

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. 59 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each.
Standing · first-choice share
24%
Contested · Jirav 19%
24Cube19Jirav17Fathom41others

24% of first choices, contested.

Since October 2026↗new leaderNew leader since October 2026: Cube (24%) replaces Fathom (25% then, 17% now), 7 points clear, inside the 10-point floor.Cube leads at 24%, replacing Fathom, which led at 25% and stands at 17% now: 7 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.

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 October 2026
01Cube24%11%62accepted challenger▲+17Since October 2026: 7% → 24%, +17 points. Past the 10-point floor: movement.7% → 24%
02Jirav19%13%38accepted challenger▲+10Since October 2026: 9% → 19%, +10 points. Inside the 10-point floor: within noise.9% → 19%
03Fathom17%8%38accepted challenger▼−8Since October 2026: 25% → 17%, −8 points. Inside the 10-point floor: within noise.25% → 17%
04Datarails8%7%60accepted challenger▼−1Since October 2026: 9% → 8%, −1 point. Inside the 10-point floor: within noise.9% → 8%
05Aleph5%0%23accepted challenger▲+3Since October 2026: 2% → 5%, +3 points. Inside the 10-point floor: within noise.2% → 5%
06PlanGuru5%0%13accepted challenger▲+3Since October 2026: 2% → 5%, +3 points. Inside the 10-point floor: within noise.2% → 5%
07Clockwork3%8%13accepted challenger▼−8Since October 2026: 11% → 3%, −8 points. Inside the 10-point floor: within noise.11% → 3%
08LiveFlow2%6%18accepted challenger▼−3Since October 2026: 5% → 2%, −3 points. Inside the 10-point floor: within noise.5% → 2%
09Runway2%0%14accepted challenger▲+2Since October 2026: 0% → 2%, +2 points. Inside the 10-point floor: within noise.0% → 2%
10Mosaic2%8%12accepted challenger=heldSince October 2026: 2% → 2%, ±0 points. Inside the 10-point floor: within noise.2% → 2%
11Planful2%56%16criticized challenger=heldSince October 2026: 2% → 2%, ±0 points. Inside the 10-point floor: within noise.2% → 2%
Show the six products at 0%, ordered by negative rate
17Anaplan0%87%38criticized challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise.0% → 0%
16Workday Adaptive Planning0%79%39criticized challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise.0% → 0%
15Vena0%44%27criticized challenger▼−2Since October 2026: 2% → 0%, −2 points. Inside the 10-point floor: within noise.2% → 0%
14Pigment0%44%18criticized challenger▼−2Since October 2026: 2% → 0%, −2 points. Inside the 10-point floor: within noise.2% → 0%
12Centage0%16%19accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise.0% → 0%
13Abacum0%0%11accepted challenger▼−2Since October 2026: 2% → 0%, −2 points. Inside the 10-point floor: within noise.2% → 0%

The floor is 10 points of share, measured: how far the models move a leader on their own when the same questions are asked twice with nothing changed. A larger change is movement; a smaller one can't be told apart from repeat variation, and both are shown. Each index measures its own floor from its own repeat, over its own categories, so the floor differs from one index to the next. Both editions asked the same fourteen models. How the floor is measured

Bars are the share of first choices, 0 to 100Every product with at least 10 labels here. Every product name links to its product page.
Head to headHead-to-head pages are published for mid-market buyers, so these open on mid-market figures, not small business.
All twenty-eight head-to-head pages: the top eight products, each against each

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 →
01
02
03
04
05
06
07
08
09
10
11
12
13
14
15
16
17
Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative40%
Key
01Cube24%
02Jirav19%
03Fathom17%
04Datarails8%
05Aleph5%
06PlanGuru5%
07Clockwork3%
08LiveFlow2%
09Runway2%
10Mosaic2%
11Planful2%
12Centage0%
13Abacum0%
14Pigment0%
15Vena0%
16Workday Adaptive Planning0%
17Anaplan0%

What they warned about

Three of fourteen models held their first choice under the paraphrase. Claude Haiku 4.5, GPT-5.4 mini, Grok 4.20, Mistral Small, DeepSeek V4 Flash, Llama 4 Maverick, Qwen 3.7 Flash, Kimi K2, 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.
Anaplan
87%
33 of 38 labels negative · 13 of 14 models · 23 hard negative
“Tools to generally avoid at your current size: Anaplan, Workday Adaptive Planning, OneStream, Board (too heavy, expensive, and slow to implement).” Gemini 3.5 Flash, scale prompt
Workday Adaptive Planning
79%
31 of 39 labels negative · 13 of 14 models · 19 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.” Muse Glimmer 30B, negative prompt
Vena
44%
12 of 27 labels negative · 10 of 14 models · 6 hard negative
“Avoid enterprise-grade FP&A platforms: Platforms like Workday Adaptive Planning, Anaplan, or Vena are designed for large, complex organizations” Muse Glimmer 30B, negative prompt
Oracle Fusion Cloud EPM
100%
9 of 9 labels negative · 7 of 14 models · 3 hard negative
“Why to avoid: Heavy operational overhead, rigid structures, and steep learning curves.” Gemini 3.5 Flash, negative prompt

What they cite

Fourteen of the fourteen models returned a source list in this edition: five return the pages they cited and nine the search results they consulted.

Sites the answers cite

73 of 84 answers in this category came back with a source list, from 14 of 14 models: citations where the model returns them, or the search results it consulted. 793 links across 147 sites, every framing counted. Ranked by the number of answers carrying the site or page. 32 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 · G245 answers · 73 citations · 13 models
37 answers · 53 citations · 12 models
36 answers · 40 citations · 11 models
28 answers · 28 citations · 11 models
24 answers · 36 citations · 10 models
vendor site · Datarails21 answers · 45 citations · 8 models
vendor site · Prophix21 answers · 30 citations · 11 models
vendor site · Centage21 answers · 21 citations · 9 models
19 answers · 19 citations · 8 models
vendor site · Cubesoftware17 answers · 20 citations · 8 models
17 answers · 19 citations · 10 models
vendor site · Fuelfinance17 answers · 18 citations · 10 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.

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 productsShareOwn site citedName searches, GoogleAI search demand, est.Organic visitsPaid search a month, est.Google ads, last 30 daysBest Google position
Cube cubesoftware.com24%30490,500152,613168,764131
Jirav jirav.com19%148720153,7802
Fathom fathomhq.com17%19090,5006,65774,88138
Datarails datarails.com8%3746,60013418,964$16,697107
Aleph getaleph.com5%9218,1001,6637,31003
PlanGuru planguru.com5%43
Clockwork clockwork.ai3%2427,1007,1784634
LiveFlow liveflow.com2%521,3001994,8464
Runway runway.com2%30110,00033,145169,04391
Mosaic mosaic.tech2%45165,00034,05227

Google's top ten for the three searches hold 20 sites; 9 of them are among the sites the models cited here (centage.com, cfoshortlist.com, corporatefinanceinstitute.com, cubesoftware.com, g2.com, getaleph.com, golimelight.com, prophix.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.
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ModelDirect“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 4.5Jirav
Three alternativesClockwork, Cube, Datarails
FreshBooks, XeroChanged
One alternativeQuickBooks Online
Datarails, Mosaic
Three alternativesCube, Jirav, Vena
Jirav
Four alternativesClockwork, Cube, Datarails, QuickBooks Online
no first choiceagainst: Anaplan, Datarails, Jirav, OneStream, Workday Adaptive Planning
GPT-5.4 miniCube
Three alternativesDatarails, Fathom, Vena
against: Planful
DatarailsChanged
One alternativeFathom
against: Planful, Vena
Datarails
Five alternativesAbacum, Cube, Planful, Prophix, Runway
Fathom
Two alternativesCentage, Datarails
no first choiceagainst: Workiva
Gemini 3.5 FlashJirav
Six alternativesCausal, Cube, Datarails, LiveFlow, Mosaic, Syft Analytics
against: Anaplan, Workday Adaptive Planning
JiravHeld
Six alternativesAleph, Clockwork, Cube, Fathom, Mosaic, Runway
Cube
Six alternativesAleph, Causal, Datarails, Jirav, LiveFlow, Mosaic
against: Anaplan, Workday Adaptive Planning
Clockwork, Fathom
Three alternativesCausal, Coefficient, LiveFlow
against: Anaplan, Cube, Jirav, Pigment, Workday Adaptive Planning
Cube, Mosaic, Runway
Four alternativesCausal, Jirav, LivePlan, SheetGo
against: Anaplan, Board, OneStream, Workday Adaptive Planning
against: Anaplan, IBM Planning Analytics, Oracle Fusion Cloud EPM, Oracle Hyperion, Pigment, Planful, SAP Analytics Cloud, SAP BPC, Workday Adaptive Planning
Perplexity SonarJirav
Four alternativesConnected spreadsheets or Aleph, Cube, Datarails, Mosaic
against: Anaplan, Workday Adaptive Planning
JiravHeld
Four alternativesCube, Datarails, Mosaic, PlanGuru
Cube, Datarails, Jirav
Three alternativesAleph, Limelight, Runway
Cube
Three alternativesAleph, Datarails, Jirav
against: Anaplan, Workday Adaptive Planning
no first choiceagainst: Anaplan, Cube, Datarails, Mosaic, NetSuite Planning and Budgeting, OneStream, Oracle Fusion Cloud EPM, Pigment, Planful, Prophix, Vena, Workday Adaptive Planning
Grok 4.20Cube
Four alternativesCausal, Datarails, Fathom, Vena
against: Anaplan, IBM Planning Analytics, Oracle Fusion Cloud EPM, Workday Adaptive Planning
JiravChanged
Four alternativesCube, Datarails, Fathom, LiveFlow
against: Anaplan, Planful, Workday Adaptive Planning
Cube, Jirav
Three alternativesDatarails, Planful, Vena
against: Anaplan, Oracle Fusion Cloud EPM, Pigment
LiveFlow
Five alternativesDatarails, Fathom, Google Sheets or Microsoft Excel, Row Zero, Xero or QuickBooks Online + Built-In Tools
against: Anaplan, Cube, IBM Planning Analytics, Workday Adaptive Planning
Cube, Planful
Six alternativesAbacum, Datarails, Fuelfinance, Limelight, Prophix, Vena
against: Anaplan, Oracle Fusion Cloud EPM, Workday Adaptive Planning
against: Anaplan, IBM Planning Analytics, Jedox, NetSuite Planning and Budgeting, Planful, Prophix, Vena, Workday Adaptive Planning
Mistral SmallFathom
Three alternativesAleph, Datarails, Fuelfinance
Fuelfinance, JiravChanged
Three alternativesCube, Fathom, LiveFlow
Cube, Datarails, LiveFlow
One alternativeAleph
against: Anaplan, Workday Adaptive Planning
Cube
Three alternativesCentage, Datarails, Firmbase
no first choiceagainst: Anaplan, Planful, Vena, Workday Adaptive Planning
DeepSeek V4 FlashCube
Four alternativesAleph, Datarails, Fathom, Finmark
FathomChanged
Four alternativesCube, Datarails, Jirav, PlanGuru
against: Anaplan, Centage, Pigment, Workday Adaptive Planning
Cube
Three alternativesAleph, Datarails, Runway
against: Fathom
Fathom
One alternativePlanGuru
against: Anaplan, Centage, Jirav, LiveFlow, OneStream, Workday Adaptive Planning
no first choice
Four alternativesAleph, Cube, Datarails, Limelight
against: Anaplan, Oracle Fusion Cloud EPM, Vena, Workday Adaptive Planning
against: Anaplan, Fathom, Vena, Workday Adaptive Planning
Llama 4 MaverickAleph
Three alternativesDatarails, Pigment, Runway
FathomChanged
Three alternativesCentage, Clockwork, Datarails
Aleph
Two alternativesCube, Datarails
Cube
Three alternativesAleph, Datarails, Runway
no first choiceagainst: Anaplan, Vena, Workday Adaptive Planning
Qwen 3.7 FlashDatarails, Float
Two alternativesFathom, Xplane
CubeChanged
Two alternativesFathom, LiveFlow
Aleph, Cube
Three alternativesAbacum, Datarails, LiveFlow
PlanGuru
Two alternativesFathom, Rows
no first choiceagainst: NetSuite Planning and Budgeting, Oracle Fusion Cloud EPMagainst: Anaplan, Vena, Workday Adaptive Planning
Kimi K2Cube, Datarails
Two alternativesAleph, Jirav
against: Anaplan, Pigment, Planful
Cube, FathomChanged
Two alternativesDatarails, LiveFlow
Fathom, Jirav
Five alternativesCentage, Cube, Datarails, Fuelfinance, PlanGuru
against: Anaplan, Workday Adaptive Planning
PlanGuru
Three alternativesExcel or Google Sheets, QuickBooks Online, Xero
against: Anaplan, Centage, Cube, Jirav, SAP, Workday Adaptive Planning
Cube
Four alternativesDatarails, Fathom, Jirav, LiveFlow
against: Anaplan, IBM Planning Analytics, Workday Adaptive Planning
against: Anaplan, Cube, Datarails, OneStream, SAP, Vena, Workday Adaptive Planning
GLM 4.7 FlashXFathom
Two alternativesCube, Datarails
FathomHeld
Two alternativesDatarails, Jirav
no first choice
Seven alternativesAleph, Centage, Cube, Datarails, Fathom, Firmbase, LiveFlow
PlanGuru
Five alternativesAdlega, Centage, Cube, Firmbase, Runway
no first choiceagainst: Anaplan, Datarails, Fathom, Workday Adaptive Planning
MiniMax M2.5Aleph, Datarails
Three alternativesCube, Fuelfinance, Jirav
Datarails, JiravChanged
Three alternativesCube, Fathom, SMPL.ai
Cube, Datarails
Two alternativesCentage, PlanGuru
against: Vena
Cube, Fairview
Three alternativesDatarails, Google Sheets / Excel, PlanGuru
no first choiceagainst: Anaplan, Vena, Workday Adaptive Planning
GPT-6 LunaClockwork, Jiravagainst: CubeJiravChanged
One alternativeFathom
Jirav
Four alternativesCube, Datarails, Fathom, Mosaic
Excel, Google Sheets
Two alternativesFathom, Float
against: Clockwork
no first choice
Three alternativesClockwork, Cube, Jirav
against: Anaplan, Cube, Jirav, Oracle Fusion Cloud EPM, Pigment, Planful, Workday Adaptive Planning
Muse Glimmer 30BAleph
Four alternativesCentage, Cube, Datarails, Jirav
FathomChanged
Three alternativesCube, Datarails, Fairview
Aleph
Seven alternativesCentage, Cube, Datarails, Fairview, Fathom, PlanGuru, Runway
against: Anaplan, Pigment, Workday Adaptive Planning
Cube
Four alternativesAleph, Clockwork, Datarails, Fairview
no first choiceagainst: Anaplan, Oracle Fusion Cloud EPM, Oracle Hyperion, Vena, Workday Adaptive Planning
Bold is the first choiceAlternatives are counted; the count opens them.What the answer argued against

The record

One row per call: the version string exactly as returned, whether the model searched, sources cited, and latency.
Eighty-four rows: every prompt, every model, every answer.
PromptModelVersion stringTime (UTC)SearchedSourcesLatency
Direct recommendationClaude Haiku 4.5claude-haiku-4-5-202510012026-11-01 12:23yes108 s
Direct recommendationGPT-5.4 minigpt-5.4-mini-2026-03-172026-11-01 13:00yes46 s
Direct recommendationGemini 3.5 Flashgemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version)2026-11-01 11:05no016 s
Direct recommendationPerplexity Sonarsonar2026-11-01 08:55yes104 s
Direct recommendationGrok 4.20spacexai/grok-4.20-non-reasoning via xai2026-11-01 13:05yes533 s
Direct recommendationMistral Smallmistral/mistral-small via mistral2026-11-01 12:10yes55 s
Direct recommendationDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-11-01 12:24yes2426 s
Direct recommendationLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-11-01 11:00yes53 s
Direct recommendationQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-11-01 12:58no032 s
Direct recommendationKimi K2moonshotai/kimi-k2 via novita2026-11-01 11:25yes1434 s
Direct recommendationGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-11-01 09:50yes24122 s
Direct recommendationMiniMax M2.5minimax/minimax-m2.5 via minimax2026-11-01 11:11yes836 s
Direct recommendationGPT-6 Lunagpt-6-luna2026-11-01 10:48yes315 s
Direct recommendationMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-11-01 12:43yes1520 s
ParaphraseClaude Haiku 4.5claude-haiku-4-5-202510012026-11-01 09:50no04 s
ParaphraseGPT-5.4 minigpt-5.4-mini-2026-03-172026-11-01 12:39yes35 s
ParaphraseGemini 3.5 Flashgemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version)2026-11-01 08:44yes920 s
ParaphrasePerplexity Sonarsonar2026-11-01 11:52yes103 s
ParaphraseGrok 4.20spacexai/grok-4.20-non-reasoning via xai2026-11-01 13:28yes528 s
ParaphraseMistral Smallmistral/mistral-small via mistral2026-11-01 12:01yes55 s
ParaphraseDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-11-01 09:37yes2430 s
ParaphraseLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-11-01 12:17yes52 s
ParaphraseQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-11-01 11:57yes527 s
ParaphraseKimi K2moonshotai/kimi-k2 via novita2026-11-01 10:10yes2453 s
ParaphraseGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-11-01 09:53yes1021 s
ParaphraseMiniMax M2.5minimax/minimax-m2.5 via minimax2026-11-01 09:00yes1052 s
ParaphraseGPT-6 Lunagpt-6-luna2026-11-01 10:03yes215 s
ParaphraseMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-11-01 11:37yes1518 s
ComparativeClaude Haiku 4.5claude-haiku-4-5-202510012026-11-01 12:21yes910 s
ComparativeGPT-5.4 minigpt-5.4-mini-2026-03-172026-11-01 09:30yes39 s
ComparativeGemini 3.5 Flashgemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version)2026-11-01 10:59yes725 s
ComparativePerplexity Sonarsonar2026-11-01 11:40yes105 s
ComparativeGrok 4.20spacexai/grok-4.20-non-reasoning via xai2026-11-01 13:29yes1737 s
ComparativeMistral Smallmistral/mistral-small via mistral2026-11-01 11:23yes56 s
ComparativeDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-11-01 12:18yes2447 s
ComparativeLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-11-01 08:44yes53 s
ComparativeQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-11-01 08:45yes523 s
ComparativeKimi K2moonshotai/kimi-k2 via novita2026-11-01 11:44yes2269 s
ComparativeGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-11-01 10:30yes2070 s
ComparativeMiniMax M2.5minimax/minimax-m2.5 via minimax2026-11-01 10:02yes949 s
ComparativeGPT-6 Lunagpt-6-luna2026-11-01 09:09yes622 s
ComparativeMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-11-01 10:57yes1227 s
Budget constrainedClaude Haiku 4.5claude-haiku-4-5-202510012026-11-01 12:44yes107 s
Budget constrainedGPT-5.4 minigpt-5.4-mini-2026-03-172026-11-01 10:34yes45 s
Budget constrainedGemini 3.5 Flashgemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version)2026-11-01 09:13yes916 s
Budget constrainedPerplexity Sonarsonar2026-11-01 09:16yes104 s
Budget constrainedGrok 4.20spacexai/grok-4.20-non-reasoning via xai2026-11-01 13:04yes534 s
Budget constrainedMistral Smallmistral/mistral-small via mistral2026-11-01 12:57yes55 s
Budget constrainedDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-11-01 11:47yes2518 s
Budget constrainedLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-11-01 11:30yes52 s
Budget constrainedQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-11-01 10:54yes1440 s
Budget constrainedKimi K2moonshotai/kimi-k2 via novita2026-11-01 12:16yes1959 s
Budget constrainedGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-11-01 13:00yes11169 s
Budget constrainedMiniMax M2.5minimax/minimax-m2.5 via minimax2026-11-01 10:42yes1249 s
Budget constrainedGPT-6 Lunagpt-6-luna2026-11-01 08:50yes315 s
Budget constrainedMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-11-01 10:20yes1421 s
Scale constrainedClaude Haiku 4.5claude-haiku-4-5-202510012026-11-01 12:00no06 s
Scale constrainedGPT-5.4 minigpt-5.4-mini-2026-03-172026-11-01 12:47no07 s
Scale constrainedGemini 3.5 Flashgemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version)2026-11-01 09:10no015 s
Scale constrainedPerplexity Sonarsonar2026-11-01 09:09yes107 s
Scale constrainedGrok 4.20spacexai/grok-4.20-non-reasoning via xai2026-11-01 13:21yes531 s
Scale constrainedMistral Smallmistral/mistral-small via mistral2026-11-01 10:16no06 s
Scale constrainedDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-11-01 08:42yes1735 s
Scale constrainedLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-11-01 11:19yes52 s
Scale constrainedQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-11-01 11:04no026 s
Scale constrainedKimi K2moonshotai/kimi-k2 via novita2026-11-01 11:28yes1948 s
Scale constrainedGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-11-01 09:01no024 s
Scale constrainedMiniMax M2.5minimax/minimax-m2.5 via minimax2026-11-01 10:26no014 s
Scale constrainedGPT-6 Lunagpt-6-luna2026-11-01 09:47yes315 s
Scale constrainedMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-11-01 11:37yes1322 s
Negative framingClaude Haiku 4.5claude-haiku-4-5-202510012026-11-01 09:12yes1510 s
Negative framingGPT-5.4 minigpt-5.4-mini-2026-03-172026-11-01 11:35yes36 s
Negative framingGemini 3.5 Flashgemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version)2026-11-01 12:42no019 s
Negative framingPerplexity Sonarsonar2026-11-01 12:17yes104 s
Negative framingGrok 4.20spacexai/grok-4.20-non-reasoning via xai2026-11-01 13:25yes1533 s
Negative framingMistral Smallmistral/mistral-small via mistral2026-11-01 12:07yes54 s
Negative framingDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-11-01 09:25yes2324 s
Negative framingLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-11-01 11:05yes53 s
Negative framingQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-11-01 11:08yes1846 s
Negative framingKimi K2moonshotai/kimi-k2 via novita2026-11-01 13:00yes2231 s
Negative framingGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-11-01 11:44yes2276 s
Negative framingMiniMax M2.5minimax/minimax-m2.5 via minimax2026-11-01 10:56yes1060 s
Negative framingGPT-6 Lunagpt-6-luna2026-11-01 11:03yes515 s
Negative framingMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-11-01 10:02yes1421 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 read as Oracle Fusion Cloud EPM
VENA Solutions read as Vena
Vena Solutions read as Vena
Workday Adaptive read as Workday Adaptive Planning
Unresolved, counted raw
AI Assistant (Claude/GPT-4)
Connected spreadsheets or Aleph
Google Sheets or Microsoft Excel (with Add-Ins)
Profitual
SMPL.ai
SheetGo
Xero or QuickBooks Online + Built-In Tools
Xplane
Discontinued, still offered
No shut-down product was recommended here.
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