Procure-to-pay for small business buyers
Asked as “procure-to-pay platform”, and as “purchasing software”, on behalf of a small B2B company. 58 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each.
Standing · first-choice share
53%
Clear leader
53Precoro16Procurify07Ramp24others
53% of first choices, clear leader.
Since October 2026▲+25Since October 2026: 28% → 53%, +25 points. Past the 10-point floor: movement.Precoro held the lead, +25 points on 28%, past the 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
Precoro53%Clear leader▲+25Since October 2026: 28% → 53%, +25 points. Past the 10-point floor: movement.This pageMid-market
Procurify43%Clear leader▲+1Since October 2026: 42% → 43%, +1 point. Inside the 10-point floor: within noise.Standing →Enterprise
Coupa50%Clear leader▲+7Since October 2026: 43% → 50%, +7 points. Inside the 10-point floor: within noise.Standing →
Precoro53%Clear leader▲+25Since October 2026: 28% → 53%, +25 points. Past the 10-point floor: movement.This pageMid-marketProcurify43%Clear leader▲+1Since October 2026: 42% → 43%, +1 point. Inside the 10-point floor: within noise.Standing →EnterpriseCoupa50%Clear leader▲+7Since October 2026: 43% → 50%, +7 points. Inside the 10-point floor: within noise.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 October 2026
01Precoro53%6%62endorsed leader▲+25Since October 2026: 28% → 53%, +25 points. Past the 10-point floor: movement.28% → 53%
Precoro53%6%62endorsed leader▲+25Since October 2026: 28% → 53%, +25 points. Past the 10-point floor: movement.28% → 53%02Procurify16%2%55accepted challenger▼−3Since October 2026: 19% → 16%, −3 points. Inside the 10-point floor: within noise.19% → 16%
Procurify16%2%55accepted challenger▼−3Since October 2026: 19% → 16%, −3 points. Inside the 10-point floor: within noise.19% → 16%03
Ramp7%8%26accepted challenger▼−10Since October 2026: 17% → 7%, −10 points. Past the 10-point floor: movement.17% → 7%
Ramp7%8%26accepted challenger▼−10Since October 2026: 17% → 7%, −10 points. Past the 10-point floor: movement.17% → 7%04
Tradogram3%0%30accepted challenger▼−8Since October 2026: 11% → 3%, −8 points. Inside the 10-point floor: within noise.11% → 3%
Tradogram3%0%30accepted challenger▼−8Since October 2026: 11% → 3%, −8 points. Inside the 10-point floor: within noise.11% → 3%05
BILL2%8%13accepted challenger▼−4Since October 2026: 6% → 2%, −4 points. Inside the 10-point floor: within noise.6% → 2%
BILL2%8%13accepted challenger▼−4Since October 2026: 6% → 2%, −4 points. Inside the 10-point floor: within noise.6% → 2%06
Order.co2%0%10accepted challenger=heldSince October 2026: 2% → 2%, ±0 points. Inside the 10-point floor: within noise.2% → 2%
Order.co2%0%10accepted challenger=heldSince October 2026: 2% → 2%, ±0 points. Inside the 10-point floor: within noise.2% → 2%07
Cflow2%0%10accepted challenger▲+2Since October 2026: 0% → 2%, +2 points. Inside the 10-point floor: within noise.0% → 2%
Cflow2%0%10accepted challenger▲+2Since October 2026: 0% → 2%, +2 points. Inside the 10-point floor: within noise.0% → 2%Show the five products at 0%, ordered by negative rate
10
Oracle Fusion Cloud Procurement0%100%11criticized challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise.0% → 0%
Oracle Fusion Cloud Procurement0%100%11criticized challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise.0% → 0%12
SAP Ariba0%97%31criticized challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise.0% → 0%
SAP Ariba0%97%31criticized challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise.0% → 0%11Coupa0%90%30criticized challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise.0% → 0%
Coupa0%90%30criticized challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise.0% → 0%08
ProcureDesk0%0%12accepted challenger▼−2Since October 2026: 2% → 0%, −2 points. Inside the 10-point floor: within noise.2% → 0%
ProcureDesk0%0%12accepted challenger▼−2Since October 2026: 2% → 0%, −2 points. Inside the 10-point floor: within noise.2% → 0%09
Spendwise0%0%11accepted challenger▼−5Since October 2026: 5% → 0%, −5 points. Inside the 10-point floor: within noise.5% → 0%
Spendwise0%0%11accepted challenger▼−5Since October 2026: 5% → 0%, −5 points. Inside the 10-point floor: within noise.5% → 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.
For buyers
Head to headHead-to-head pages are published for mid-market buyers, so these open on mid-market figures, not small business.
All six head-to-head pages: the top four 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 →
010203040506070809101112Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative70%
Key
01Precoro53%
Precoro53%02Procurify16%
Procurify16%03Ramp7%
Ramp7%04Tradogram3%
Tradogram3%05BILL2%
BILL2%06Order.co2%
Order.co2%07Cflow2%
Cflow2%08ProcureDesk0%
ProcureDesk0%09Spendwise0%
Spendwise0%10Oracle Fusion Cloud Procurement0%
Oracle Fusion Cloud Procurement0%11Coupa0%
Coupa0%12SAP Ariba0%
SAP Ariba0%What they warned about
Seven of fourteen models held their first choice under the paraphrase. Claude Haiku 4.5, GPT-5.4 mini, Perplexity Sonar, Llama 4 Maverick, GLM 4.7 FlashX, 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 Ariba97%
30 of 31 labels negative · 12 of 14 models · 17 hard negative
“Platforms to be especially cautious with - Enterprise suites like SAP Ariba — powerful, but often more process-heavy than a small business needs.” GPT-5.4 mini, negative prompt
Coupa90%
27 of 30 labels negative · 12 of 14 models · 13 hard negative
“enterprise suites like Coupa and SAP Ariba are often considered overkill or high-risk for small businesses due to their high pricing and complex features” Llama 4 Maverick, negative prompt
Oracle Fusion Cloud Procurement100%
11 of 11 labels negative · 7 of 14 models · 7 hard negative
“Platforms to Avoid or Be Cautious About ... Enterprise-Only Platforms - Coupa, SAP Ariba, Oracle Fusion Cloud Procurement, GEP SMART” Muse Glimmer 30B, negative prompt
Jaggaer100%
8 of 8 labels negative · 6 of 14 models · 5 hard negative
“The main platforms to be cautious about are SAP Ariba, Coupa, Jaggaer, Ivalua, and GEP SMART” Muse Glimmer 30B, 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
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. 780 links across 183 sites, every framing counted. Ranked by the number of answers carrying the site or page. 12 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 · 57 citations · 11 models
37 answers · 44 citations · 10 models
vendor site · Capterra32 answers · 63 citations · 9 models
26 answers · 29 citations · 10 models
vendor site · G224 answers · 28 citations · 11 models
vendor site · AuraVMS19 answers · 22 citations · 8 models
vendor site · GetApp17 answers · 24 citations · 8 models
vendor site · Precoro16 answers · 19 citations · 8 models
16 answers · 18 citations · 9 models
vendor site · Capterra14 answers · 14 citations · 9 models
vendor site · Tradogram13 answers · 15 citations · 8 models
vendor site · Spendflo11 answers · 12 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.
30 answers · 9 models
16 answers · 9 models
15 answers · 8 models
14 answers · 8 models
13 answers · 7 models
11 answers · 9 models
11 answers · 7 models
10 answers · 6 models
10 answers · 7 models
10 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 procure-to-pay platform”, “procure-to-pay platform”, “procurement platforms”. 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 |
|---|---|---|---|---|---|---|---|
| Precoro precoro.com | 53% | 341 | 1,000 | 3 | 82,966 | 86 | |
| Procurify procurify.com | 16% | 278 | 4,400 | 43 | 62,225 | $282 | 14 |
| Ramp ramp.com | 7% | 916 | 246,000 | 49,733 | 770,056 | $13,511 | 120 |
| Tradogram tradogram.com | 3% | 124 | 880 | 4 | 208,129 | 1 | |
| BILL bill.com | 2% | 374 | 2,740,000 | 1,063,001 | 1,783,039 | $199,231 | 119 |
| Order.co order.co | 2% | 22 | 1,600 | 7 | 64,386 | $369 | 59 |
| Cflow cflowapps.com | 2% | 17 | |||||
| Spendesk spendesk.com | 2% | 98 | 1,000 | 22 | 24,610 | ||
| ProcurementExpress.com procurementexpress.com | 2% | 15 | 20 | 0 | 1,050 | 3 | |
| Zoho zoho.com Zoho Books 2% | 2% | 367 | 27,100 | 268 | 1,216,894 company | $51,031 | 119 |
Google's top ten for the three searches hold 24 sites; 1 of them are among the sites the models cited here (g2.com). The first result for “best procure-to-pay platform” is gartner.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 procure-to-pay platform for a small B2B company?”Paraphrase“Which purchasing software would you recommend to a small business that sells to other businesses?”Comparative“What are the top procurement platforms for a small team and how do they differ?”Budget-constrained“What is the best procure-to-pay platform for a small company with a tight budget?”Scale-constrained“We are a 30 person company evaluating a procure-to-pay platform. What should we look at?”Negative“Which procurement platforms should a small business avoid or be cautious about?”
Claude Haiku 4.5PrecoroProcurifyChangedPrecoroPrecorono first choiceagainst: 1688.com, Alibaba, Coupa, DHgate, Jaggaer, SAP Ariba
Two alternatives
BILL, CflowThree alternatives
Precoro, Spendwise, TradogramThree alternatives
Ramp, Spendwise, TradogramThree alternatives
Cflow, Spendwise, TradogramGPT-5.4 miniProcurifyPrecoroChangedPrecoroagainst: Coupa, SAP AribaPrecorono first choiceagainst: SAP Ariba
Three alternatives
Ramp, Spendwise, StampliFour alternatives
ProcurementExpress.com, Procurify, Spendwise, TradogramThree alternatives
ProcureDesk, Spendwise, TradogramTwo alternatives
Ramp, SpendwiseGemini 3.5 FlashPrecoroagainst: Coupa, SAP AribaPrecoroHeldPrecoroagainst: Coupa, SAP AribaRampagainst: Coupa, SAP AribaRamp, Spendeskagainst: BILL, Coupa, SAP Aribaagainst: Alibaba, Coupa, Jaggaer, Oracle Fusion Cloud Procurement, SAP Ariba
Four alternatives
BILL, Order.co, Procurify, RampFour alternatives
Katana Cloud Manufacturing, Procurify, Ramp, Zoho InventorySix alternatives
ProcureDesk, Procurify, Ramp, Tradogram, Tropic, VerticeThree alternatives
BILL, Precoro, ProcureDeskFour alternatives
Airbase, Precoro, Procurify, ZipPerplexity SonarBILLagainst: Coupa, SAP AribaCin7 Core, PrecoroChangedagainst: Coupa, SAP AribaPrecoroagainst: Coupa, Oracle Fusion Cloud Procurement, SAP AribaPrecorono first choiceagainst: Brex, Coupa, GEP SMART, Oracle Fusion Cloud Procurement, Precoro, Procurify, QuickBooks Commerce, Ramp, SAP Ariba, ServiceNow Procurement, TradeGecko
Four alternatives
Precoro, ProcureDesk, Procurement Express, ProcurifyFour alternatives
Procurify, Ramp, Xero, Zoho BooksSix alternatives
BILL, Kissflow Procurement, Procurify, Spendesk, Tradogram, Zoho ProcurementFour alternatives
BILL, Procurement Express, Ramp, SpendeskGrok 4.20Precoroagainst: Coupa, Jaggaer, SAP AribaPrecoroHeldPrecoroagainst: Coupa, SAP AribaTradogramagainst: Precorono first choiceagainst: Oracle Fusion Cloud Procurement, SAP Aribaagainst: AliExpress, Alibaba, Angi, Global Sources, HomeAdvisor, Oracle Fusion Cloud Procurement, Oracle NetSuite, SAP Ariba
Four alternatives
Procurify, Stampli, TYASuite, TradogramTwo alternatives
ControlHub, ProcurifyFour alternatives
Procurify, Teampay, Tradogram, Zoho ProcurementThree alternatives
Cflow, Nanonets, RampFive alternatives
AvidXchange, Kissflow Procurement, Order.co, Procurify, StampliMistral SmallPrecoro, ProcurifyPrecoro, ProcurifyHeldPrecoroagainst: SpendHound, Team CanopyPrecorono first choiceagainst: Coupa, Precoro, SAP Ariba
One alternative
Sage IntacctTwo alternatives
ProcurementExpress.com, TeampayFour alternatives
Procurify, Prokuria, Team Procure, TipaltiTwo alternatives
Procurify, TYASuiteDeepSeek V4 FlashPrecoroPrecoroHeldTradogramCflow, Tradogramagainst: Coupa, Jaggaer, Precoro, SAP AribaPrecoroagainst: Ivaluaagainst: Alibaba, Coupa, GEP SMART, Global Sources, Ivalua, Jaggaer, Oracle Fusion Cloud Procurement, SAP Ariba, TradeKey.com
Three alternatives
Procurify, Ramp, TradogramThree alternatives
ProcureDesk, Procurify, Zoho InventoryFive alternatives
Kissflow Procurement, Precoro, ProcurementExpress.com, Procurify, RampOne alternative
NanonetsFour alternatives
Order.co, Procurify, Tradogram, ZipLlama 4 MaverickOrder.co, Precoro, ProcurifyProcurementExpress.comChangedProcurifyPrecorono first choiceagainst: Coupa, SAP Ariba
Three alternatives
Expeni, Procurify, TeampayTwo alternatives
Jotform Apps, PrecoroThree alternatives
AuraVMS, Cflow, ProcurifyQwen 3.7 FlashPrecoroagainst: Coupa, SAP AribaPrecoroHeldPrecoroagainst: Coupa, SAP AribaPrecorono first choiceagainst: Oracle NetSuite, SAP Ariba
Two alternatives
Procurify, i2B ConnectThree alternatives
Cin7, Procurify, Zoho InventoryFive alternatives
Brex, Procurify, Ramp, Spendwise, TradogramTwo alternatives
Cflow, SpendeskKimi K2PrecoroPrecoroHeldagainst: Oracle NetSuitePrecoroTYASuite Procurementagainst: Coupa, Oracle Fusion Cloud Procurement, SAP AribaPrecoro, Procurify, Rampagainst: Coupa, SAP Aribaagainst: Alibaba, Coupa, Global Sources, IndiaMART, Industrybuying
Four alternatives
Airbase, BILL, Melio, ProcurifyFour alternatives
Order.co, Procurify, Striven, TeampayFive alternatives
BILL, ProcureDesk, Procurify, Ramp, SpendeskFour alternatives
AuraVMS, Fraxion, Precoro, TradogramTwo alternatives
Spendesk, TradogramGLM 4.7 FlashXProcurifyagainst: Coupa, SAP AribaPrecoroChangedPrecoro, ProcurifyInstaSupplyno first choiceagainst: Alibaba, Coupa, GEP SMART, Global Sources, Ivalua, Jaggaer, Made-in-China, Oracle Fusion Cloud Procurement, SAP Ariba
Two alternatives
Precoro, ProcureDeskFour alternatives
Katana, Procurify, Tradogram, Zoho BooksEight alternatives
AuraVMS, CobbleStone Contract Insight, Coupa, InstaSupply, ProcureDesk, Tipalti, Zapro, Zoho ProcurementTwo alternatives
AuraVMS, TradogramMiniMax M2.5PrecoroPrecoro, ProcurifyChangedPrecoro, TradogramERPNext, oboloono first choicenothing named
Two alternatives
Nanonets, ProcurifyTwo alternatives
CobbleStone Contract Insight, StrivenTwo alternatives
Procurify, ZipThree alternatives
InstaSupply, TYASuite Procurement, TradogramGPT-6 LunaRampagainst: TipaltiQuickBooks Online Plus or AdvancedChangedRampZoho Booksagainst: Rampno first choicenothing named
One alternative
BILLTwo alternatives
Odoo, Zoho ProcurementThree alternatives
Precoro, Procurify, TradogramOne alternative
TradogramMuse Glimmer 30BPrecoroagainst: Coupa, Oracle Fusion Cloud Procurement, SAP AribaPrecoroHeldPrecoro, Procurifyagainst: Coupa, GEP SMART, Ivalua, Jaggaer, Oracle Fusion Cloud Procurement, SAP AribaPrecoroPrecoro, Procurifyagainst: Coupa, GEP SMART, Ivalua, Jaggaer, Oracle Fusion Cloud Procurement, SAP Ariba
Two alternatives
Cflow, ProcurifyFive alternatives
Digital Purchase Order, Procurify, Striven, VNDLY, Zoho InventoryFour alternatives
AuraVMS, Ramp, Vroozi, ZipThree alternatives
AuraVMS, Cflow, TradogramBold 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.
| Prompt | Model | Version string | Time (UTC) | Searched | Sources | Latency |
|---|---|---|---|---|---|---|
| Direct recommendation | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 08:40 | yes | 10 | 8 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 09:26 | yes | 3 | 5 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 12:44 | yes | 8 | 18 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-11-01 12:27 | yes | 10 | 3 s |
| Direct recommendation | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 13:09 | yes | 8 | 32 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 11:37 | yes | 5 | 5 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 09:34 | yes | 13 | 18 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 12:58 | yes | 5 | 3 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 12:53 | yes | 5 | 23 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 10:15 | yes | 14 | 22 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 09:56 | yes | 23 | 80 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 09:41 | yes | 5 | 23 s |
| Direct recommendation | GPT-6 Luna | gpt-6-luna | 2026-11-01 09:59 | yes | 3 | 12 s |
| Direct recommendation | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 10:29 | yes | 10 | 18 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 09:58 | yes | 9 | 7 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 12:03 | yes | 4 | 6 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 11:34 | no | 0 | 12 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-11-01 09:24 | yes | 10 | 3 s |
| Paraphrase | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 13:28 | yes | 5 | 25 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 09:53 | yes | 5 | 4 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 10:34 | yes | 25 | 34 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 09:37 | yes | 5 | 3 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 11:54 | yes | 5 | 33 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 12:51 | yes | 8 | 18 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 09:38 | yes | 10 | 16 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 09:24 | yes | 10 | 31 s |
| Paraphrase | GPT-6 Luna | gpt-6-luna | 2026-11-01 09:32 | yes | 3 | 12 s |
| Paraphrase | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 10:08 | yes | 15 | 25 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 09:23 | yes | 9 | 8 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 09:25 | yes | 3 | 9 s |
| Comparative | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 12:30 | yes | 12 | 23 s |
| Comparative | Perplexity Sonar | sonar | 2026-11-01 12:02 | yes | 10 | 4 s |
| Comparative | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 13:26 | yes | 5 | 31 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 09:02 | yes | 5 | 7 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 11:26 | yes | 23 | 57 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 09:46 | yes | 5 | 2 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 13:01 | yes | 5 | 17 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 10:38 | yes | 19 | 48 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 11:48 | yes | 12 | 20 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 11:43 | yes | 10 | 18 s |
| Comparative | GPT-6 Luna | gpt-6-luna | 2026-11-01 12:04 | yes | 4 | 23 s |
| Comparative | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 09:57 | yes | 14 | 28 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 12:48 | yes | 10 | 9 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 09:29 | yes | 3 | 5 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 09:56 | yes | 8 | 20 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-11-01 10:16 | yes | 10 | 3 s |
| Budget constrained | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 13:11 | yes | 24 | 46 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 10:47 | yes | 5 | 4 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 12:34 | yes | 22 | 22 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 09:52 | yes | 5 | 2 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 10:57 | yes | 5 | 22 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 09:43 | yes | 13 | 22 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 12:36 | yes | 19 | 91 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 08:54 | yes | 15 | 77 s |
| Budget constrained | GPT-6 Luna | gpt-6-luna | 2026-11-01 09:00 | yes | 3 | 17 s |
| Budget constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 08:49 | yes | 20 | 30 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 12:30 | no | 0 | 7 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 11:54 | no | 0 | 6 s |
| Scale constrained | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 09:53 | no | 0 | 15 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-11-01 08:45 | yes | 10 | 6 s |
| Scale constrained | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 13:27 | yes | 15 | 36 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 11:06 | no | 0 | 9 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 11:08 | yes | 23 | 28 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 11:41 | yes | 5 | 2 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 09:57 | no | 0 | 29 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 08:46 | yes | 10 | 26 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 08:59 | yes | 14 | 31 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 08:54 | yes | 5 | 31 s |
| Scale constrained | GPT-6 Luna | gpt-6-luna | 2026-11-01 08:43 | yes | 2 | 9 s |
| Scale constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 09:08 | yes | 15 | 29 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 12:36 | yes | 18 | 9 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 12:32 | yes | 3 | 5 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 09:04 | yes | 9 | 20 s |
| Negative framing | Perplexity Sonar | sonar | 2026-11-01 09:53 | yes | 10 | 4 s |
| Negative framing | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 13:25 | yes | 15 | 37 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 10:37 | yes | 5 | 5 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 08:41 | yes | 25 | 27 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 11:12 | yes | 5 | 3 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 12:58 | no | 0 | 26 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 09:27 | yes | 23 | 27 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 09:57 | yes | 15 | 115 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 12:57 | no | 0 | 11 s |
| Negative framing | GPT-6 Luna | gpt-6-luna | 2026-11-01 12:45 | yes | 4 | 18 s |
| Negative framing | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 09:05 | yes | 15 | 20 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
Bill.com read as BILL
GEP read as GEP SMART
Kissflow read as Kissflow Procurement
NetSuite read as Oracle NetSuite
Oracle read as Oracle Fusion Cloud Procurement
Oracle Fusion read as Oracle Fusion Cloud Procurement
Oracle Procurement Cloud read as Oracle Fusion Cloud Procurement
Rippling read as Rippling Spend
Zoho Procure read as Zoho Procurement
Unresolved, counted raw
APEX Accelerators
Angi (formerly Angie's List)
Auxionize
Coupa Express
HomeAdvisor (now part of Angi)
Jotform Apps
Order.com
QuickBooks Online Plus or Advanced
Sage Intacct Procurement
Team Canopy
Updoot
Wafeq
eRequisition
Discontinued, still offered
No shut-down product was recommended here.