ERP systems
Asked as “ERP system”, and as “enterprise resource planning software for finance”, on behalf of a mid-market B2B company. 51 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each.
Standing · first-choice share
39%
Contested · Odoo 22%
39Oracle NetSuite22Odoo16ERPNext24others
39% of first choices, contested.
Since September 2026=heldSince September 2026: 38% → 39%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.Oracle NetSuite held the lead, ±0 points on 38%, 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
Odoo39%Contested▲+11Since September 2026: 31% → 42%, +11 points. Past the 10-point floor: movement. Read over the models both editions asked.Standing →Mid-market
Oracle NetSuite39%Contested=heldSince September 2026: 38% → 39%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.This pageEnterprise
SAP S/4HANA52%Clear leader▲+9Since September 2026: 48% → 57%, +9 points. Inside the 10-point floor: within noise. Read over the models both editions asked.Standing →
Odoo39%Contested▲+11Since September 2026: 31% → 42%, +11 points. Past the 10-point floor: movement. Read over the models both editions asked.Standing →Mid-marketOracle NetSuite39%Contested=heldSince September 2026: 38% → 39%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.This pageEnterpriseSAP S/4HANA52%Clear leader▲+9Since September 2026: 48% → 57%, +9 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
01Oracle NetSuite39%11%55endorsed leader=heldSince September 2026: 38% → 39%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.38% → 39%
Oracle NetSuite39%11%55endorsed leader=heldSince September 2026: 38% → 39%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.38% → 39%02Odoo22%5%21accepted challenger▲+4Since September 2026: 19% → 23%, +4 points. Inside the 10-point floor: within noise. Read over the models both editions asked.19% → 23%
Odoo22%5%21accepted challenger▲+4Since September 2026: 19% → 23%, +4 points. Inside the 10-point floor: within noise. Read over the models both editions asked.19% → 23%03
ERPNext16%0%12accepted challenger▲+3Since September 2026: 11% → 14%, +3 points. Inside the 10-point floor: within noise. Read over the models both editions asked.11% → 14%
ERPNext16%0%12accepted challenger▲+3Since September 2026: 11% → 14%, +3 points. Inside the 10-point floor: within noise. Read over the models both editions asked.11% → 14%04
Sage Intacct10%3%30accepted challenger▲+1Since September 2026: 11% → 11%, +1 point. Inside the 10-point floor: within noise. Read over the models both editions asked.11% → 11%
Sage Intacct10%3%30accepted challenger▲+1Since September 2026: 11% → 11%, +1 point. Inside the 10-point floor: within noise. Read over the models both editions asked.11% → 11%05
Microsoft Dynamics 365 Business Central4%6%35accepted challenger▼−13Since September 2026: 15% → 2%, −13 points. Past the 10-point floor: movement. Read over the models both editions asked.15% → 2%
Microsoft Dynamics 365 Business Central4%6%35accepted challenger▼−13Since September 2026: 15% → 2%, −13 points. Past the 10-point floor: movement. Read over the models both editions asked.15% → 2%06Microsoft Dynamics 3652%14%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%
07
SAP Business One2%21%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%
SAP Business One2%21%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%08
Oracle Fusion Cloud ERP2%46%24criticized challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 10-point floor: within noise. Read over the models both editions asked.0% → 2%
Oracle Fusion Cloud ERP2%46%24criticized challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 10-point floor: within noise. Read over the models both editions asked.0% → 2%09SAP S/4HANA2%46%35criticized challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 10-point floor: within noise. Read over the models both editions asked.0% → 2%
SAP S/4HANA2%46%35criticized 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
12
Epicor Kinetic0%18%22accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.0% → 0%
Epicor Kinetic0%18%22accepted 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
Workday Financial Management0%10%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%
Workday Financial Management0%10%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%11
Infor CloudSuite0%10%21accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.0% → 0%
Infor CloudSuite0%10%21accepted 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
Acumatica0%0%43accepted challenger▼−2Since September 2026: 2% → 0%, −2 points. Inside the 10-point floor: within noise. Read over the models both editions asked.2% → 0%
Acumatica0%0%43accepted challenger▼−2Since September 2026: 2% → 0%, −2 points. Inside the 10-point floor: within noise. Read over the models both editions asked.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 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.
All twenty-eight head-to-head pages: the top eight products, each against each
Oracle NetSuite vs Microsoft Dynamics 365 Business CentralOracle NetSuite vs Microsoft Dynamics 365Oracle NetSuite vs SAP Business OneOracle NetSuite vs Oracle Fusion Cloud ERPOdoo vs ERPNextOdoo vs Sage IntacctOdoo vs Microsoft Dynamics 365 Business CentralOdoo vs Microsoft Dynamics 365Odoo vs SAP Business OneOdoo vs Oracle Fusion Cloud ERPERPNext vs Sage IntacctERPNext vs Microsoft Dynamics 365 Business CentralERPNext vs Microsoft Dynamics 365ERPNext vs SAP Business OneERPNext vs Oracle Fusion Cloud ERPSage Intacct vs Microsoft Dynamics 365 Business CentralSage Intacct vs Microsoft Dynamics 365Sage Intacct vs SAP Business OneSage Intacct vs Oracle Fusion Cloud ERPMicrosoft Dynamics 365 Business Central vs Microsoft Dynamics 365Microsoft Dynamics 365 Business Central vs SAP Business OneMicrosoft Dynamics 365 Business Central vs Oracle Fusion Cloud ERPMicrosoft Dynamics 365 vs SAP Business OneMicrosoft Dynamics 365 vs Oracle Fusion Cloud ERPSAP Business One vs Oracle Fusion Cloud ERP
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 →
0102030405M06
07080910111213Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative50%
Key
01Oracle NetSuite39%
Oracle NetSuite39%02Odoo22%
Odoo22%03ERPNext16%
ERPNext16%04Sage Intacct10%
Sage Intacct10%05Microsoft Dynamics 365 Business Central4%
Microsoft Dynamics 365 Business Central4%06Microsoft Dynamics 3652%
07SAP Business One2%
SAP Business One2%08Oracle Fusion Cloud ERP2%
Oracle Fusion Cloud ERP2%09SAP S/4HANA2%
SAP S/4HANA2%10Acumatica0%
Acumatica0%11Infor CloudSuite0%
Infor CloudSuite0%12Epicor Kinetic0%
Epicor Kinetic0%13Workday Financial Management0%
Workday Financial Management0%What they warned about
Five of fourteen models held their first choice under the paraphrase. Claude Haiku 4.5, GPT-5.4 mini, Gemini 3.5 Flash, Mistral Small, DeepSeek V4 Flash, Qwen 3.7 Flash, Kimi K2, MiniMax M2.5 and GPT-6 Luna 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.
SAP S/4HANA46%
16 of 35 labels negative · 10 of 14 models · 4 hard negative
“SAP S/4HANA - due to its steep learning curve, need for skilled consultants, lengthy deployments, and significant total cost of ownership.” Llama 4 Maverick, negative prompt
Oracle Fusion Cloud ERP46%
11 of 24 labels negative · 8 of 14 models · 2 hard negative
“Oracle ERP Cloud - due to its wide array of options, which can be confusing for customers” Llama 4 Maverick, negative prompt
Oracle NetSuite11%
6 of 55 labels negative · 6 of 14 models · 2 hard negative
“Avoid if budget < $1K: Enterprise options like NetSuite/Dynamics 365 (~$25K+/year)” Grok 4.1 Fast, budget prompt
SAP ECC100%
4 of 4 labels negative · 4 of 14 models · 4 hard negative
“**SAP (Specifically S/4HANA & ECC):** ... it has the highest failure rate among Fortune 500 companies if mismanaged” Qwen 3.7 Flash, 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
77 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. 974 links across 267 sites, every framing counted. Ranked by the number of answers carrying the site or page. 5 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.
53 answers · 146 citations · 12 models
29 answers · 39 citations · 10 models
29 answers · 31 citations · 10 models
vendor site · NetSuite20 answers · 26 citations · 12 models
20 answers · 22 citations · 10 models
vendor site · G216 answers · 16 citations · 8 models
14 answers · 27 citations · 7 models
13 answers · 14 citations · 8 models
12 answers · 17 citations · 7 models
vendor site · SAP11 answers · 15 citations · 7 models
11 answers · 13 citations · 6 models
vendor site · Zapier11 answers · 11 citations · 6 models
Pages the answers cite
The ten pages named in the most answers, by full address. A page here is one the models returned with a recommendation, not one the index endorses.
27 answers · 10 models
25 answers · 10 models
16 answers · 10 models
15 answers · 7 models
11 answers · 8 models
11 answers · 6 models
10 answers · 7 models
9 answers · 8 models
9 answers · 5 models
9 answers · 6 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 erp system”, “erp system”, “erp systems”. 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 |
|---|---|---|---|---|---|---|---|---|
| Oracle parent site Oracle NetSuite 39% | 39% | 489 | 450,000 | 66,611 | ||||
| Odoo odoo.com | 22% | 105 | 49,500 | 3,053 | 406,262 | $644 | 95 | |
| ERPNext erpnext.com | 16% | 44 | 5,400 | 128 | 1,862 | |||
| Sage sage.com Sage Intacct 10% | 10% | 433 | 246,000 | 90,599 | 1,737,127 company | $114,671 | 78 | |
| Microsoft Dynamics microsoft.com Microsoft Dynamics 365 Business Central 4%, Microsoft Dynamics 365 Finance & Operations 0% | 4% | 115 | 2,900 | 50 | 145,358,109 company | $12,455 | 103 | |
| SAP S/4HANA sap.com SAP Business One 2%, SAP S/4HANA 2% | 4% | 178 | 2,400 | 260 | 2,214,514 | $1,251 | 23 | 2 |
| Microsoft Dynamics 365 | 2% | 12,100 | 604 | |||||
| SAP Business ByDesign | 2% | |||||||
| Oracle Fusion oracle.com Oracle Fusion Cloud ERP 2% | 2% | 147 | 3,600 | 11 | 7,410,638 company | $247 | 101 | 1 |
| Acumatica acumatica.com | 0% | 132 | 12,100 | 242 | 130,487 | $2,934 | 120 |
Google's top ten for the three searches hold 14 sites; 1 of them are among the sites the models cited here (sap.com). The first result for “best erp system” is reddit.com.
How they answered
Six framings of the same buying question, each sent to every model in a fresh session with search on. One row per model, so a row shows whether it held its answer under rewording, what it named when cost was the constraint, and what it argued against. Computed from the raw judge labels.ShowHide
How they answered
Six framings of the same buying question, each sent to every model in a fresh session with search on. One row per model, so a row shows whether it held its answer under rewording, what it named when cost was the constraint, and what it argued against. Computed from the raw judge labels.
ShowHideModelDirect“What is the best ERP system for a mid-market B2B company?”Paraphrase“Which enterprise resource planning software for finance would you recommend to a mid-sized B2B company?”Comparative“What are the top ERP systems and how do they differ?”Budget-constrained“What is the best ERP system for a company with a limited budget?”Scale-constrained“We are a 500 person company evaluating a ERP system. What should we look at?”Negative“Which ERP systems should I avoid or be cautious about?”
Claude Haiku 4.5no first choiceSAP S/4HANAChangedno first choiceOdoono first choiceagainst: Oracle FLEXCUBE
Four alternatives
Infor CloudSuite, Microsoft Dynamics 365 Finance & Operations, Oracle NetSuite, Sage IntacctSeven alternatives
Acumatica, Infor CloudSuite, Microsoft Dynamics 365, Oracle Fusion Cloud ERP, Oracle NetSuite, SAP S/4HANA, Workday Financial ManagementThree alternatives
Cetec ERP, Dolibarr, ERPNextGPT-5.4 miniMicrosoft Dynamics 365, Oracle NetSuiteOracle Fusion Cloud ERPChangedno first choiceOdooagainst: Microsoft Dynamics 365 Business Central, Sageno first choicenothing named
Two alternatives
Infor CloudSuite, SAP Business ByDesignTwo alternatives
SAP S/4HANA, SageOne alternative
ERPNextGemini 3.5 FlashOracle NetSuiteOracle NetSuite, Sage IntacctChangedagainst: Oracle Fusion Cloud ERP, QuickBooks, SAP S/4HANA, Xerono first choiceERPNextagainst: Epicor Kinetic, Oracle NetSuite, SAP S/4HANAno first choiceagainst: Oracle Fusion Cloud ERP, QuickBooks, SAP S/4HANAagainst: Epicor Kinetic, Infor Lawson, Microsoft Dynamics GP, Oracle Fusion Cloud ERP, SAP ECC, SAP S/4HANA, Sage
Three alternatives
Acumatica, Epicor Kinetic, Microsoft Dynamics 365 Business CentralTwo alternatives
Acumatica, Microsoft Dynamics 365 Business CentralFour alternatives
Acumatica, Cetec ERP, Odoo, Zoho OneFive alternatives
Acumatica, Epicor Kinetic, Microsoft Dynamics 365 Business Central, Oracle NetSuite, Sage IntacctPerplexity SonarOracle NetSuiteOracle NetSuiteHeldno first choiceagainst: QuickBooksERPNext, Odooagainst: Microsoft Dynamics 365 Business Central, SAP Business Oneno first choicenothing named
One alternative
Microsoft Dynamics 365 Business CentralThree alternatives
Acumatica, Microsoft Dynamics 365 Business Central, Sage IntacctOne alternative
Cetec ERPGrok 4.1 FastOracle NetSuiteagainst: SAP S/4HANAOracle NetSuiteHeldOracle Fusion Cloud ERP, Oracle NetSuite, SAP S/4HANAERPNextagainst: Microsoft Dynamics 365, Oracle NetSuite, QuickBooksno first choiceagainst: Epicor Kinetic, Infor CloudSuite, Microsoft Dynamics 365, Oracle, SAP S/4HANA
Four alternatives
Acumatica, Epicor Kinetic, Infor CloudSuite, Microsoft Dynamics 365Three alternatives
Acumatica, Microsoft Dynamics 365 Business Central, Sage IntacctFive alternatives
Acumatica, Epicor Kinetic, Infor CloudSuite, Microsoft Dynamics 365, Workday Financial ManagementTwo alternatives
Dolibarr, OdooMistral SmallOracle NetSuite, SAP Business OneSage IntacctChangedno first choiceOdoono first choiceagainst: Oracle Fusion Cloud ERP, SAP S/4HANA
Three alternatives
Acumatica, Epicor Kinetic, Microsoft Dynamics 365 Business CentralTwo alternatives
Microsoft Dynamics 365 Business Central, Oracle NetSuiteThree alternatives
ERPNext, Sage Intacct, Zoho OneDeepSeek V4 FlashOracle NetSuiteMicrosoft Dynamics 365 Business CentralChangedno first choiceERPNext, Odoono first choiceagainst: Oracle Fusion Cloud ERP, SAP S/4HANAagainst: CANIAS ERP, Epicor Kinetic, OmegaCube Technologies, Oracle NetSuite, SAP S/4HANA
Four alternatives
Acumatica, Epicor Kinetic, Microsoft Dynamics 365 Business Central, Sage X3Three alternatives
Acumatica, Oracle NetSuite, Sage IntacctThree alternatives
Dolibarr, Microsoft Dynamics 365 Business Central, QuickBooksLlama 4 MaverickOracle NetSuiteOracle NetSuiteHeldno first choiceOdoono first choiceagainst: Oracle Fusion Cloud ERP, SAP S/4HANA
One alternative
AcumaticaFour alternatives
Acumatica, ERPAG, Microsoft Dynamics 365 Business Central, Sage IntacctSix alternatives
Cin7, ERPNext, Katana, Sage 50cloud, Xero, Zoho OneQwen 3.7 FlashOracle NetSuiteSage IntacctChangedno first choiceOdoono first choiceagainst: Oracle Fusion Cloud ERP, SAP S/4HANAagainst: Apache OFBiz, Baan, JD Edwards World, Microsoft AX, Odoo, Oracle E-Business Suite, Oracle Fusion Cloud ERP, Oracle NetSuite, PeopleSoft Classic, SAP Business One, SAP ECC, SAP S/4HANA, Siebel
Three alternatives
Acumatica, Microsoft Dynamics 365 Business Central, Sage IntacctTwo alternatives
Microsoft Dynamics 365 Business Central, Oracle NetSuiteTwo alternatives
Acumatica, Microsoft Dynamics 365 Business CentralFive alternatives
Acumatica, Infor CloudSuite, Microsoft Dynamics 365 Business Central, Oracle NetSuite, Sage X3Kimi K2Oracle NetSuiteOracle NetSuite, Sage IntacctChangedno first choiceERPNext, Odoono first choiceagainst: Epicor Syteline, Infor CloudSuite, Oracle Fusion Cloud ERP, SAP Business One, SAP S/4HANA
Five alternatives
Acumatica, Epicor Prophet 21, Infor CloudSuite Distribution, Microsoft Dynamics 365 Business Central, Sage IntacctTwo alternatives
Acumatica, Microsoft Dynamics 365 Business CentralThree alternatives
Acumatica, QuickBooks Desktop, Zoho OneGLM 4.7 FlashXOracle NetSuiteOracle NetSuiteHeldno first choiceOdoono first choiceagainst: Microsoft Dynamics 365, Oracle E-Business Suite, Oracle Fusion Cloud ERP, Oracle NetSuite, SAP ECC, SAP S/4HANA
Two alternatives
Acumatica, Microsoft Dynamics 365 Business CentralTwo alternatives
Sage Intacct, Unit4Four alternatives
Acumatica, Microsoft Dynamics 365 Business Central, Oracle NetSuite, SAP Business OneMiniMax M2.5Oracle NetSuiteSAP Business ByDesign, Sage IntacctChangedno first choiceERPNext, Odoono first choiceagainst: QuickBooks, SAP S/4HANA
Two alternatives
Acumatica, Microsoft Dynamics 365Three alternatives
Intuit Enterprise Suite, Microsoft Dynamics 365 Finance & Operations, Unit4One alternative
Zoho OneGPT-6 LunaMicrosoft Dynamics 365 Business CentralOracle NetSuiteChangedno first choiceagainst: Sage Intacct, Workday Financial ManagementERPNextno first choiceagainst: Microsoft Dynamics AX 2012, Microsoft Dynamics GP, Microsoft Dynamics SL 2018, SAP ERP
Three alternatives
Acumatica, Epicor Kinetic, Oracle NetSuiteThree alternatives
Acumatica, Microsoft Dynamics 365 Business Central, Sage IntacctTwo alternatives
Odoo, Zoho Finance PlusMuse Glimmer 30BOracle NetSuiteOracle NetSuiteHeldSAP S/4HANAERPNext, Odoono first choiceagainst: Horizon ERP, JD Edwards, Microsoft Dynamics legacy AX/NAV/Great Plains, Oracle E-Business Suite, Oracle Fusion Cloud ERP, Oracle NetSuite, Oracle PeopleSoft, SAP ECC, SAP S/4HANA
One alternative
Microsoft Dynamics 365Two alternatives
Microsoft Dynamics 365 Finance & Operations, Sage IntacctSix alternatives
Acumatica, Microsoft Dynamics 365, Microsoft Dynamics 365 Business Central, Oracle Fusion Cloud ERP, Oracle NetSuite, Workday Financial ManagementBold 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 08:16 | no | 0 | 5 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 10:52 | yes | 6 | 5 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 07:36 | yes | 10 | 23 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-10-01 10:10 | yes | 19 | 4 s |
| Direct recommendation | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 07:37 | yes | 25 | 9 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 11:00 | yes | 5 | 6 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 08:46 | yes | 25 | 42 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 10:59 | yes | 5 | 2 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 08:37 | yes | 5 | 18 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 11:04 | yes | 19 | 22 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 10:11 | yes | 14 | 80 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 10:11 | yes | 5 | 15 s |
| Direct recommendation | GPT-6 Luna | gpt-6-luna | 2026-10-01 10:46 | yes | 4 | 18 s |
| Direct recommendation | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 10:18 | yes | 12 | 24 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 09:57 | no | 0 | 5 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 07:58 | yes | 3 | 6 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 07:53 | yes | 9 | 25 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-10-01 08:14 | yes | 20 | 4 s |
| Paraphrase | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 11:14 | yes | 23 | 10 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 11:20 | yes | 5 | 4 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 08:45 | yes | 15 | 35 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 09:06 | yes | 5 | 2 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 09:04 | yes | 5 | 30 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 09:55 | yes | 15 | 32 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 09:32 | yes | 25 | 167 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 10:00 | yes | 5 | 36 s |
| Paraphrase | GPT-6 Luna | gpt-6-luna | 2026-10-01 10:11 | yes | 4 | 15 s |
| Paraphrase | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 07:39 | yes | 15 | 21 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 10:46 | yes | 9 | 11 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 09:57 | yes | 8 | 9 s |
| Comparative | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 10:18 | yes | 17 | 25 s |
| Comparative | Perplexity Sonar | sonar | 2026-10-01 10:52 | yes | 19 | 5 s |
| Comparative | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 08:34 | yes | 24 | 11 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 10:07 | yes | 10 | 13 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 11:19 | yes | 25 | 50 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 10:50 | yes | 5 | 2 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 09:18 | yes | 23 | 71 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 07:50 | yes | 15 | 24 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 08:40 | yes | 15 | 22 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 08:23 | yes | 10 | 21 s |
| Comparative | GPT-6 Luna | gpt-6-luna | 2026-10-01 08:40 | yes | 7 | 22 s |
| Comparative | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 10:47 | yes | 14 | 28 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 07:47 | yes | 9 | 7 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 09:52 | yes | 3 | 6 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 08:09 | yes | 17 | 28 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-10-01 09:35 | yes | 19 | 3 s |
| Budget constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 08:19 | yes | 20 | 7 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 11:08 | yes | 5 | 3 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 11:22 | yes | 18 | 32 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 08:15 | yes | 5 | 2 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 07:32 | yes | 24 | 53 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 09:44 | yes | 15 | 24 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 11:20 | no | 0 | 14 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 08:37 | yes | 5 | 18 s |
| Budget constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 11:22 | yes | 3 | 7 s |
| Budget constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 10:41 | yes | 13 | 21 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 08:57 | no | 0 | 7 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 07:55 | no | 0 | 8 s |
| Scale constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 08:38 | yes | 13 | 27 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-10-01 09:07 | yes | 17 | 4 s |
| Scale constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 11:18 | yes | 15 | 9 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 09:16 | no | 0 | 11 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 10:31 | yes | 16 | 53 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 08:16 | yes | 5 | 2 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 10:31 | yes | 8 | 28 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 11:12 | yes | 12 | 22 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 07:50 | no | 0 | 33 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 09:13 | yes | 5 | 15 s |
| Scale constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 08:09 | yes | 2 | 19 s |
| Scale constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 07:37 | yes | 11 | 19 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 07:52 | yes | 18 | 9 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 09:21 | yes | 4 | 6 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 10:50 | yes | 14 | 22 s |
| Negative framing | Perplexity Sonar | sonar | 2026-10-01 10:59 | yes | 19 | 3 s |
| Negative framing | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 07:51 | yes | 25 | 10 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 08:16 | yes | 5 | 5 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 10:31 | yes | 23 | 36 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 09:17 | yes | 5 | 2 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 08:08 | yes | 20 | 72 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 09:25 | yes | 17 | 28 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 10:43 | yes | 25 | 53 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 10:53 | yes | 10 | 21 s |
| Negative framing | GPT-6 Luna | gpt-6-luna | 2026-10-01 10:02 | yes | 4 | 19 s |
| Negative framing | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 08:13 | yes | 21 | 24 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
Acumatica Cloud ERP read as Acumatica
Dynamics 365 Business Central read as Microsoft Dynamics 365 Business Central
Epicor read as Epicor Kinetic
Epicor (Kinetic / Prophet 21) read as Epicor Kinetic
Infor read as Infor CloudSuite
Microsoft Dynamics read as Microsoft Dynamics 365
Microsoft Dynamics 365 Finance & Supply Chain Management (SCM) read as Microsoft Dynamics 365 Finance & Operations
NetSuite read as Oracle NetSuite
NetSuite (Oracle) read as Oracle NetSuite
Oracle Cloud ERP read as Oracle Fusion Cloud ERP
Oracle Cloud ERP (Fusion) read as Oracle Fusion Cloud ERP
Oracle ERP Cloud read as Oracle Fusion Cloud ERP
Oracle ERP Cloud (Fusion) read as Oracle Fusion Cloud ERP
Oracle Fusion read as Oracle Fusion Cloud ERP
Oracle Fusion Cloud read as Oracle Fusion Cloud ERP
QuickBooks Online read as QuickBooks
SAP read as SAP S/4HANA
SAP (S/4HANA, ECC) read as SAP S/4HANA
SAP Cloud ERP read as SAP S/4HANA
Workday read as Workday Financial Management
Workday (Financial Management) read as Workday Financial Management
Unresolved, counted raw
CANIAS ERP
Doss
ERP.io
ERPAG
Epicor Syteline
Horizon ERP
IFS Cloud ERP
Infor CloudSuite Distribution
Infor M3 ERP
Intuit
JD Edwards World
Microsoft AX
Microsoft Dynamics AX 2012
Microsoft Dynamics SL 2018
Microsoft Dynamics legacy AX/NAV/Great Plains
OmegaCube Technologies
PeopleSoft Classic
Sage X3 or Intacct
Siebel
Zoho Finance Plus
ecount ERP
Discontinued, still offered
No shut-down product was recommended here.
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