Procure-to-pay
Asked as “procure-to-pay platform”, and as “purchasing software”, on behalf of a mid-market B2B company. 54 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each.
Standing · first-choice share
43%
Clear leader
43Procurify39Precoro06Cflow13others
43% of first choices, clear leader.
Since October 2026▲+1Since October 2026: 42% → 43%, +1 point. Inside the 10-point floor: within noise.Procurify held the lead, +1 point on 42%, 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
Precoro53%Clear leader▲+25Since October 2026: 28% → 53%, +25 points. Past the 10-point floor: movement.Standing →Mid-market
Procurify43%Clear leader▲+1Since October 2026: 42% → 43%, +1 point. Inside the 10-point floor: within noise.This pageEnterprise
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.Standing →Mid-marketProcurify43%Clear leader▲+1Since October 2026: 42% → 43%, +1 point. Inside the 10-point floor: within noise.This pageEnterpriseCoupa50%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 mid-market B2B company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrantSince October 2026
01Procurify43%4%57endorsed leader▲+1Since October 2026: 42% → 43%, +1 point. Inside the 10-point floor: within noise.42% → 43%
Procurify43%4%57endorsed leader▲+1Since October 2026: 42% → 43%, +1 point. Inside the 10-point floor: within noise.42% → 43%02Precoro39%2%51endorsed leader▲+20Since October 2026: 19% → 39%, +20 points. Past the 10-point floor: movement.19% → 39%
Precoro39%2%51endorsed leader▲+20Since October 2026: 19% → 39%, +20 points. Past the 10-point floor: movement.19% → 39%03
Ramp4%6%18accepted challenger▼−8Since October 2026: 12% → 4%, −8 points. Inside the 10-point floor: within noise.12% → 4%
Ramp4%6%18accepted challenger▼−8Since October 2026: 12% → 4%, −8 points. Inside the 10-point floor: within noise.12% → 4%04Coupa2%44%55criticized challenger▼−1Since October 2026: 3% → 2%, −1 point. Inside the 10-point floor: within noise.3% → 2%
Coupa2%44%55criticized challenger▼−1Since October 2026: 3% → 2%, −1 point. Inside the 10-point floor: within noise.3% → 2%Show the eight products at 0%, ordered by negative rate
12
SAP Ariba0%54%52criticized challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise.0% → 0%
SAP Ariba0%54%52criticized challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise.0% → 0%10
Oracle Fusion Cloud Procurement0%27%22criticized challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise.0% → 0%
Oracle Fusion Cloud Procurement0%27%22criticized challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise.0% → 0%08
GEP SMART0%23%22accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise.0% → 0%
GEP SMART0%23%22accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise.0% → 0%09
Ivalua0%22%18accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise.0% → 0%
Ivalua0%22%18accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise.0% → 0%07
Jaggaer0%17%18accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise.0% → 0%
Jaggaer0%17%18accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise.0% → 0%11
Tipalti0%10%10accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise.0% → 0%
Tipalti0%10%10accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise.0% → 0%05
Zip0%4%23accepted challenger▼−2Since October 2026: 2% → 0%, −2 points. Inside the 10-point floor: within noise.2% → 0%
Zip0%4%23accepted challenger▼−2Since October 2026: 2% → 0%, −2 points. Inside the 10-point floor: within noise.2% → 0%06
Tradogram0%0%17accepted challenger▼−5Since October 2026: 5% → 0%, −5 points. Inside the 10-point floor: within noise.5% → 0%
Tradogram0%0%17accepted 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
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% negative60%
Key
01Procurify43%
Procurify43%02Precoro39%
Precoro39%03Ramp4%
Ramp4%04Coupa2%
Coupa2%05Zip0%
Zip0%06Tradogram0%
Tradogram0%07Jaggaer0%
Jaggaer0%08GEP SMART0%
GEP SMART0%09Ivalua0%
Ivalua0%10Oracle Fusion Cloud Procurement0%
Oracle Fusion Cloud Procurement0%11Tipalti0%
Tipalti0%12SAP Ariba0%
SAP Ariba0%What they warned about
Six of fourteen models held their first choice under the paraphrase. Claude Haiku 4.5, GPT-5.4 mini, Perplexity Sonar, DeepSeek V4 Flash, Llama 4 Maverick, Qwen 3.7 Flash, Kimi K2 and GLM 4.7 FlashX 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 Ariba54%
28 of 52 labels negative · 11 of 14 models · 7 hard negative
“it is wise to avoid or be very cautious with SAP Ariba, Coupa, Jaggaer, Ivalua, GEP SMART, and Oracle Fusion Cloud Procurement” Mistral Small, negative prompt
Coupa44%
24 of 55 labels negative · 10 of 14 models · 7 hard negative
“Coupa is frequently recommended only for large, complex procurement needs... enterprise-only, with high costs and outdated interfaces” Mistral Small, negative prompt
Oracle Fusion Cloud Procurement27%
6 of 22 labels negative · 5 of 14 models · 2 hard negative
“Avoid Enterprise Suites: Platforms like Coupa, SAP Ariba, or Oracle Fusion” Qwen 3.7 Flash, budget prompt
GEP SMART23%
5 of 22 labels negative · 4 of 14 models · 2 hard negative
“Another platform recommended only for large, complex procurement environments.” Mistral Small, 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
74 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. 766 links across 214 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.
33 answers · 37 citations · 11 models
vendor site · G223 answers · 37 citations · 9 models
vendor site · Payhawk22 answers · 28 citations · 11 models
vendor site · Capterra19 answers · 24 citations · 10 models
17 answers · 23 citations · 9 models
vendor site · GetApp16 answers · 28 citations · 9 models
vendor site · Procurify16 answers · 26 citations · 8 models
vendor site · Precoro16 answers · 20 citations · 8 models
vendor site · ProcureDesk14 answers · 14 citations · 9 models
vendor site · Vertice13 answers · 15 citations · 8 models
vendor site · Capterra12 answers · 14 citations · 6 models
vendor site · Spendesk12 answers · 13 citations · 5 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.
28 answers · 11 models
16 answers · 10 models
12 answers · 9 models
11 answers · 6 models
9 answers · 5 models
9 answers · 8 models
9 answers · 6 models
9 answers · 6 models
9 answers · 6 models
9 answers · 7 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 | Best Google position |
|---|---|---|---|---|---|---|---|---|
| Procurify procurify.com | 43% | 278 | 4,400 | 43 | 62,225 | $282 | 14 | |
| Precoro precoro.com | 39% | 341 | 1,000 | 3 | 82,966 | 86 | ||
| Cflow cflowapps.com | 6% | 17 | ||||||
| Ramp ramp.com | 4% | 916 | 246,000 | 49,733 | 770,056 | $13,511 | 120 | |
| Payhawk payhawk.com | 2% | 106 | 2,400 | 27 | 5,824 | 21 | ||
| ProcurementExpress.com procurementexpress.com | 2% | 15 | 20 | 0 | 1,050 | 3 | ||
| Zoho parent site Zoho Procurement 2% | 2% | 14 | ||||||
| AuraVMS auravms.com | 2% | 29 | 10 | 0 | 206 | |||
| Coupa coupa.com | 2% | 637 | 60,500 | 1,210 | 41,319 | $339 | 91 | 2 |
| Zip zip.com | 0% | 96 | 301,000 | 498,436 | 18,669 | 34 |
Google's top ten for the three searches hold 24 sites; 2 of them are among the sites the models cited here (g2.com, procuredesk.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 mid-market B2B company?”Paraphrase“Which purchasing software would you recommend to a mid-sized B2B company?”Comparative“What are the top procurement platforms and how do they differ?”Budget-constrained“What is the best procure-to-pay platform for a company with a limited budget?”Scale-constrained“We are a 500 person company evaluating a procure-to-pay platform. What should we look at?”Negative“Which procurement platforms should I avoid or be cautious about?”
Claude Haiku 4.5no first choicePrecoro, ProcurifyChangedno first choicePrecorono first choicenothing named
Two alternatives
BILL, CoupaFour alternatives
Spendwise, Tradogram, Zoho Books, Zoho ProcurementGPT-5.4 miniProcurify, Rampagainst: SAP AribaProcurifyChangedno first choiceProcurementExpress.comagainst: Procurifyno first choiceagainst: SAP Ariba
Two alternatives
Stampli, TipaltiFive alternatives
Coupa, Ivalua, SAP Ariba, Teampay, ZipOne alternative
PrecoroGemini 3.5 FlashProcurifyagainst: SAP AribaProcurifyHeldagainst: Coupa, QuickBooks Online, SAP AribaCoupaRampagainst: Coupa, SAP Ariba, Zipno first choiceagainst: BILL, Coupa, SAP Aribanothing named
Six alternatives
Airbase, Coupa, Precoro, Ramp, Tipalti, ZipFour alternatives
Airbase, Precoro, Ramp, ZipEight alternatives
GEP SMART, Ivalua, Jaggaer, Oracle Fusion Cloud Procurement, Procurify, SAP Ariba, Workday P2P/T&E, ZipFour alternatives
BILL, Precoro, ProcureDesk, TradogramPerplexity SonarPayhawkagainst: Coupa, SAP Ariba, TipaltiPrecoroChangedagainst: Coupa, GEP SMARTCoupaPrecoroagainst: Coupa, Ivalua, SAP Aribano first choiceagainst: Airbase, Alibaba, Amazon Business, Brex, Coupa, GEP SMART, Ivalua, Navan, Oracle Fusion Cloud Procurement, ProcureDesk, QuickBooks Commerce, Ramp, SAP Ariba, TradeGecko
Four alternatives
Medius, Precoro, Procurify, SpendeskThree alternatives
BILL, Payhawk, ProcurifyEleven alternatives
BILL, GEP SMART, Gatekeeper, Ivalua, Jaggaer, Oracle Fusion Cloud Procurement, Precoro, Procurify, SAP Ariba, Spendesk, ZipTwo alternatives
BILL, Procurement ExpressGrok 4.20Procurifyagainst: SAP AribaProcurifyHeldagainst: Coupa, SAP AribaCoupa, SAP AribaPrecoroagainst: Coupa, Jaggaer, SAP Aribano first choiceagainst: SAP Aribaagainst: Global Sources, OpenGov Procurement & Contract Management, ProcurePort, TradeKey.com
Three alternatives
Coupa, Precoro, StampliFour alternatives
Kissflow Procurement, Precoro, Teampay, VerticeSix alternatives
GEP SMART, Icertis, Ivalua, Oracle Fusion Cloud Procurement, Precoro, ProcurifyThree alternatives
Cflow, Procurify, TradogramMistral SmallPrecoro, Procurifyagainst: Coupa, SAP AribaPrecoro, ProcurifyHeldSAPCflow, Precorono first choiceagainst: Coupa, GEP SMART, Ivalua, Jaggaer, Oracle Fusion Cloud Procurement, SAP Ariba
One alternative
ProcureDeskOne alternative
PairSoftThree alternatives
Coupa Software, GEP SMART, Oracle Fusion Cloud ProcurementOne alternative
ProcurifyDeepSeek V4 FlashProcurifyagainst: CoupaPrecoroChangedagainst: CoupaCoupa, SAP AribaCflowagainst: Coupa, Precoro, Procurify, SAP AribaPrecoro, Procurifyagainst: Coupa, SAP Aribaagainst: Coupa, Oracle Fusion Cloud Procurement, Oracle NetSuite, SAP Ariba, Workday
Three alternatives
Precoro, Ramp, StampliTwo alternatives
ProcureDesk, ProcurifySeven alternatives
GEP SMART, Ivalua, Jaggaer, Oracle Fusion Cloud Procurement, Precoro, Procurify, ZipTwo alternatives
SpendMap, TradogramTwo alternatives
Payhawk, ZipLlama 4 MaverickProcurifyPrecoroChangedno first choicePrecorono first choiceagainst: Coupa, GEP SMART, Icertis, Intuit, Jaggaer, Kissflow Procurement, SAP Ariba, Zycus
Three alternatives
Coupa, Precoro, VerticeThree alternatives
Fraxion, Ivalua, ProcurifyTwo alternatives
Procurify, TradogramQwen 3.7 FlashPrecoro, ProcurifyCoupaChangedagainst: QuickBooks Online, SAP S/4HANA, Xerono first choicePrecoroagainst: Coupa, Oracle Fusion Cloud Procurement, SAP Aribano first choiceagainst: SAP Ariba, SAP Concuragainst: Oracle Fusion Cloud Procurement, Oracle PeopleSoft, SAP Ariba
Two alternatives
Coupa, SAP Ariba SnapThree alternatives
BILL, Jaggaer, Oracle NetSuiteFour alternatives
Cflow, Procurify, Zoho Books, Zoho CreatorKimi K2Procurifyagainst: Coupa, Oracle Fusion Cloud Procurement, SAP AribaPrecoro, ProcurifyChangedagainst: Coupa, SAP Aribano first choicePrecoroagainst: Coupa, GEP SMART, Ivalua, SAP Aribano first choiceagainst: Coupa, SAP Aribaagainst: Alibaba, Global Sources
Two alternatives
Precoro, RampThree alternatives
Fraxion, Ramp, VerticeEight alternatives
Coupa, Ivalua, Jaggaer, Precoro, Procurify, Ramp, SAP Ariba, ZipFour alternatives
Cflow, Odoo, TYASuite, TradogramGLM 4.7 FlashXProcurifyPrecoro, ProcurifyChangedno first choiceAuraVMSno first choiceagainst: Coupa, Industrybuying, SAP Ariba
Three alternatives
Airbase, Fraxion, PrecoroTwo alternatives
Coupa, TradogramFive alternatives
Precoro, Procurify, Spendwise, TYASuite, VNDLYMiniMax M2.5Precoro, ProcurifyPrecoro, ProcurifyHeldSAP AribaCflow, Precorono first choicenothing named
Two alternatives
Sage Intacct, ZipOne alternative
CoupaThree alternatives
Coupa Software, GEP SMART, Oracle Fusion Cloud ProcurementOne alternative
obolooGPT-6 LunaProcurifyProcurifyHeldno first choiceZoho Procurementno first choicenothing named
Three alternatives
Coupa, Precoro, TipaltiThree alternatives
Coupa, Precoro, RampNine alternatives
Coupa, GEP Quantum Intelligence, GEP SMART, Ivalua, Jaggaer, Oracle Fusion Cloud Procurement, Procurify, SAP Ariba, ZipOne alternative
PrecoroMuse Glimmer 30BProcurifyProcurifyHeldagainst: Coupa, SAP AribaCoupa, SAP AribaPrecorono first choiceagainst: Alibaba, Global Sources, Made-in-China.com
Two alternatives
Medius, PrecoroOne alternative
PrecoroSix alternatives
GEP SMART, Ivalua, Jaggaer, Oracle Fusion Cloud Procurement, Precoro, ProcurifyTwo alternatives
SutiProcure, 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 | no | 0 | 4 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 10:41 | yes | 2 | 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 10:04 | yes | 10 | 22 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-11-01 09:19 | yes | 10 | 4 s |
| Direct recommendation | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 13:13 | yes | 10 | 29 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 11:55 | yes | 5 | 4 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 09:10 | yes | 24 | 33 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 11:57 | yes | 5 | 2 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 09:27 | yes | 5 | 24 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 11:31 | yes | 15 | 30 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 11:20 | yes | 9 | 35 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 09:54 | yes | 10 | 38 s |
| Direct recommendation | GPT-6 Luna | gpt-6-luna | 2026-11-01 08:41 | yes | 4 | 18 s |
| Direct recommendation | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 12:49 | yes | 15 | 20 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 10:21 | yes | 10 | 7 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 09:29 | yes | 3 | 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 12:51 | no | 0 | 16 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-11-01 10:38 | yes | 10 | 4 s |
| Paraphrase | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 13:16 | yes | 5 | 28 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 11:42 | yes | 5 | 5 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 10:49 | yes | 22 | 22 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 11:58 | yes | 5 | 2 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 08:56 | no | 0 | 32 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 11:22 | yes | 8 | 27 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 11:28 | yes | 10 | 48 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 10:39 | yes | 5 | 26 s |
| Paraphrase | GPT-6 Luna | gpt-6-luna | 2026-11-01 11:15 | yes | 4 | 12 s |
| Paraphrase | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 09:34 | yes | 9 | 20 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 11:02 | yes | 9 | 9 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 11:04 | yes | 4 | 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 09:06 | no | 0 | 19 s |
| Comparative | Perplexity Sonar | sonar | 2026-11-01 08:57 | yes | 10 | 5 s |
| Comparative | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 13:20 | yes | 5 | 38 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 08:59 | yes | 5 | 6 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 08:56 | yes | 22 | 35 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 09:10 | yes | 5 | 2 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 12:20 | yes | 5 | 28 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 11:16 | yes | 18 | 27 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 10:15 | yes | 10 | 61 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 10:07 | yes | 25 | 46 s |
| Comparative | GPT-6 Luna | gpt-6-luna | 2026-11-01 12:08 | yes | 9 | 24 s |
| Comparative | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 12:09 | yes | 15 | 25 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 12:01 | yes | 10 | 9 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 09:44 | yes | 1 | 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 09:36 | yes | 9 | 21 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-11-01 10:12 | yes | 10 | 4 s |
| Budget constrained | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 13:13 | yes | 5 | 31 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 08:39 | yes | 5 | 4 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 08:52 | yes | 20 | 30 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 09:39 | yes | 5 | 3 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 09:06 | yes | 5 | 16 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 09:44 | yes | 24 | 65 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 10:25 | yes | 13 | 13 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 11:49 | yes | 20 | 40 s |
| Budget constrained | GPT-6 Luna | gpt-6-luna | 2026-11-01 10:53 | yes | 2 | 11 s |
| Budget constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 10:34 | yes | 10 | 26 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 12:32 | yes | 19 | 12 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 11:00 | no | 0 | 8 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 12:59 | no | 0 | 19 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-11-01 09:53 | yes | 10 | 8 s |
| Scale constrained | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 13:14 | yes | 15 | 31 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 09:36 | no | 0 | 6 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 09:42 | yes | 23 | 29 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 12:20 | yes | 5 | 3 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 12:36 | yes | 5 | 32 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 10:21 | yes | 10 | 19 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 10:02 | yes | 15 | 57 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 11:59 | no | 0 | 17 s |
| Scale constrained | GPT-6 Luna | gpt-6-luna | 2026-11-01 09:51 | yes | 3 | 21 s |
| Scale constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 11:12 | yes | 14 | 28 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 10:11 | yes | 18 | 8 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 11:01 | yes | 4 | 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 09:51 | yes | 6 | 15 s |
| Negative framing | Perplexity Sonar | sonar | 2026-11-01 09:47 | yes | 10 | 4 s |
| Negative framing | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 13:04 | yes | 10 | 14 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 12:13 | yes | 5 | 5 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 12:24 | yes | 25 | 30 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 12:34 | yes | 5 | 3 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 12:39 | no | 0 | 36 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 10:52 | yes | 19 | 21 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 11:27 | yes | 25 | 39 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 10:18 | no | 0 | 20 s |
| Negative framing | GPT-6 Luna | gpt-6-luna | 2026-11-01 11:01 | yes | 4 | 14 s |
| Negative framing | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 09:11 | yes | 15 | 21 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
Ariba read as SAP Ariba
Ariba (SAP) read as SAP Ariba
Bill.com read as BILL
GEP read as GEP SMART
GEP (GEP SOURCING, GEP SMART) read as GEP SMART
Kissflow read as Kissflow Procurement
NetSuite read as Oracle NetSuite
Oracle read as Oracle Fusion Cloud Procurement
Oracle (Oracle Procurement Cloud) read as Oracle Fusion Cloud Procurement
Oracle Fusion read as Oracle Fusion Cloud Procurement
Oracle Procurement Cloud read as Oracle Fusion Cloud Procurement
QuickBooks read as QuickBooks Online
Workday Procurement read as Workday P2P/T&E
Zoho Procure read as Zoho Procurement
Unresolved, counted raw
Cavin
Claritum
Deputy
Explorer
Finato
Find a Tender
GEP P2P
Infor Nexus
Intuit (TradeGecko/QuickBooks Commerce)
Made-in-China.com
Odoo Purchase
OpenGov Procurement & Contract Management
Oracle P2P
PRMAI
PlanetBids
RTS-Tender
Roseltorg
SAP Ariba Snap
Sberbank-AST
SutiProcure
TED
Trade/Tradogram
zakupki.gov.ru
Discontinued, still offered
No shut-down product was recommended here.