Procure-to-pay
Asked as “procure-to-pay platform”, and as “purchasing software”, on behalf of a mid-market B2B company. 47 first choices recorded across the direct, paraphrase, budget and scale prompts, twelve models each.
Standing · first-choice share
45%
Clear leader
45Procurify17Ramp06Precoro32others
45% of first choices, clear leader.
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 twelve models, for a mid-market B2B company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrant
Show the five products at 0%, ordered by negative rate
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
Procurify vs ProcureDeskProcurify vs TipaltiProcurify vs StampliProcurify vs CoupaRamp vs PrecoroRamp vs TradogramRamp vs ProcureDeskRamp vs TipaltiRamp vs StampliRamp vs CoupaPrecoro vs TradogramPrecoro vs ProcureDeskPrecoro vs TipaltiPrecoro vs StampliPrecoro vs CoupaTradogram vs ProcureDeskTradogram vs TipaltiTradogram vs StampliTradogram vs CoupaProcureDesk vs TipaltiProcureDesk vs StampliProcureDesk vs CoupaTipalti vs StampliTipalti vs CoupaStampli vs Coupa
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
13Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative60%
Key
01Procurify45%
Procurify45%02Ramp17%
Ramp17%03Precoro6%
Precoro6%04Tradogram6%
Tradogram6%05ProcureDesk4%
ProcureDesk4%06Tipalti2%
Tipalti2%07Stampli2%
Stampli2%08Coupa2%
Coupa2%09GEP SMART0%
GEP SMART0%10Jaggaer0%
Jaggaer0%11Ivalua0%
Ivalua0%12Oracle Fusion Cloud Procurement0%
Oracle Fusion Cloud Procurement0%13SAP Ariba0%
SAP Ariba0%What they warned about
Four of twelve models held their first choice under the paraphrase. Claude Haiku 4.5, GPT-5.4 mini, Perplexity Sonar, Mistral Small, Llama 4 Maverick, Kimi K2, GLM 4.7 FlashX and MiniMax M2.5 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 Ariba51%
19 of 37 labels negative · 9 of 12 models · 10 hard negative
“Procurement systems are always convoluted but SAP Ariba is by far the worst! I would strongly encourage any procurement team to avoid using this platform.” Kimi K2, negative prompt
Coupa47%
18 of 38 labels negative · 9 of 12 models · 6 hard negative
“more enterprise-oriented platforms such as Coupa, SAP Ariba, and similar suites are generally not the best fit for a limited budget” Perplexity Sonar, budget prompt
Alibaba100%
4 of 4 labels negative · 4 of 12 models · 1 hard negative
“avoid for safety reasons are the open B2B marketplaces (Global Sources especially, Alibaba with care)” DeepSeek V4 Flash, negative prompt
Oracle Fusion Cloud Procurement36%
4 of 11 labels negative · 4 of 12 models · 1 hard negative
“you must avoid the classic mistake of evaluating enterprise-level P2P suites... (such as SAP Ariba or complex Oracle deployments)” Gemini 3.5 Flash, scale prompt
What they cite
Twelve of the twelve models returned a source list in this edition: four return the pages they cited and eight the search results they consulted.
Sites the answers cite
66 of 72 answers in this category came back with a source list, from 12 of 12 models: citations where the model returns them, or the search results it consulted. 921 links across 261 sites, every framing counted. Ranked by the number of answers carrying the site or page.
vendor site · G228 answers · 31 citations · 11 models
vendor site · ProcureDesk24 answers · 33 citations · 9 models
vendor site · Order.co22 answers · 25 citations · 10 models
vendor site · Spendflo20 answers · 23 citations · 10 models
vendor site · Tradogram20 answers · 21 citations · 11 models
19 answers · 20 citations · 10 models
vendor site · Procurify18 answers · 38 citations · 10 models
vendor site · G217 answers · 29 citations · 7 models
17 answers · 17 citations · 11 models
vendor site · APSentra16 answers · 17 citations · 11 models
vendor site · Fraxion15 answers · 18 citations · 9 models
13 answers · 17 citations · 8 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.
23 answers · 10 models
19 answers · 11 models
14 answers · 11 models
13 answers · 7 models
12 answers · 7 models
12 answers · 8 models
11 answers · 7 models
11 answers · 8 models
10 answers · 6 models
10 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 | 45% | 278 | 4,400 | 43 | 62,225 | $282 | 14 | |
| Ramp ramp.com | 17% | 916 | 246,000 | 49,733 | 770,056 | $13,511 | 120 | |
| Precoro precoro.com | 6% | 341 | 1,000 | 3 | 82,966 | 86 | ||
| Tradogram tradogram.com | 6% | 124 | 880 | 4 | 208,129 | 1 | ||
| ProcureDesk procuredesk.com | 4% | 29 | 720 | 1 | 11,677 | 5 | 5 | |
| APSentra apsentra.com | 4% | 1 | ||||||
| Spendwise spendwise.com | 4% | 22 | 720 | 3 | 401 | 2 | ||
| Tipalti tipalti.com | 2% | 490 | 18,100 | 381 | 213,652 | $83,363 | 120 | |
| Teampay paystand.com | 2% | 11 | 590 | 11 | 59,075 | $55,504 | 51 | |
| Stampli stampli.com | 2% | 194 | 18,100 | 68 | 26,332 | $39 | 53 |
Google's top ten for the three searches hold 24 sites; 4 of them are among the sites the models cited here (g2.com, gartner.com, learn.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 4.5ProcureDeskProcurifyChangedagainst: Spendwise, Xero, Zoho Booksno first choicePrecorono first choicenothing named
Two alternatives
Procurify, RillionTwo alternatives
Precoro, TeampayTwo alternatives
Procurify, Zoho ProcurementsGPT-5.4 miniProcurifyagainst: CoupaCoupa, ProcurifyChangedagainst: Oracle Fusion Cloud Procurementno first choiceSpendwiseagainst: Procurifyno first choicenothing named
Three alternatives
Order.co, ProcureDesk, TipaltiOne alternative
SAP AribaSeven alternatives
Coupa, GEP SMART, Ivalua, Jaggaer, Oracle Fusion Cloud Procurement, SAP Ariba, ZycusThree alternatives
Precoro, ProcureDesk, SpendHoundGemini 3.5 FlashProcurifyProcurifyHeldagainst: Coupa, SAP AribaCoupaRampagainst: Coupa, SAP AribaTipaltiagainst: Oracle Fusion Cloud Procurement, SAP Aribaagainst: Coupa, Ivalua, Legacy ERP Procurement Modules, SAP Ariba
Four alternatives
Precoro, Ramp, Tipalti, ZipFour alternatives
Order.co, Precoro, ProcureDesk, ZipSix alternatives
GEP SMART, Ivalua, Precoro, Procurify, SAP Ariba, ZipFour alternatives
Digital Purchase Order, Precoro, Tradogram, Zoho Books / Zoho InventorySix alternatives
Airbase, Order.co, Precoro, Procurify, Ramp, ZipPerplexity SonarProcureDeskProcurifyChangedno first choiceSpendwiseagainst: Coupa, Precoro, Procurify, SAP Aribano first choiceagainst: Basware, Coupa, GEP SMART, Ivalua, Jaggaer, Oracle Fusion Cloud Procurement, Precoro, ProcurementExpress.com, Ramp, Rippling Spend, SAP Ariba, Workday P2P/T&E
Four alternatives
Precoro, Procurify, Ramp, RillionTwo alternatives
Precoro, RampThree alternatives
Odoo, Tradogram, Zoho InventoryGrok 4.20Procurifyagainst: CoupaProcurifyHeldagainst: Coupa, SAP Aribano first choiceRampno first choiceagainst: Alibaba, Coupa, DHgate, EC21, Global Sources, Made-in-China, SAP Ariba, Tradekey
Three alternatives
Fraxion, Precoro, RampFour alternatives
Precoro, ProcureDesk, Teampay, TradogramSeven alternatives
Coupa, GEP SMART, Ivalua, Jaggaer, Precoro, Procurify, SAP AribaTwo alternatives
Odoo, Zoho InventoryMistral SmallPrecoro, ProcurifyProcurifyChangedCoupaRamp, Teampayagainst: Nanonetsno first choicenothing named
Three alternatives
APSentra, Coupa, RampTwo alternatives
Teampay, TradogramFour alternatives
Ivalua, Jaggaer, SAP Ariba, ZipDeepSeek V4 FlashProcurifyagainst: Basware, CoupaProcurifyHeldCoupa, SAP AribaRampno first choiceagainst: Coupa, SAP Aribaagainst: Alibaba, Coupa, Global Sources, Ivalua, SAP Ariba
Two alternatives
GEP SMART, PrecoroFour alternatives
Airbase, PLANERGY, Precoro, ProcureDeskSix alternatives
GEP SMART, Ivalua, Jaggaer, Precoro, Procurify, Workday Strategic SourcingFour alternatives
Odoo, Precoro, Tradogram, Zoho InventoryLlama 4 MaverickAPSentra, Procurify, Rampno first choiceChangedSAP AribaPipefy, Xerono first choiceagainst: SAP Ariba, Workday P2P/T&E
Three alternatives
Coupa, GEP SMART, ZaproTwo alternatives
ProcurementExpress.com, TradogramQwen 3.7 FlashProcurifyagainst: Coupa, SAP AribaProcurifyHeldno first choiceRampno first choiceagainst: Alibaba, Government e-Marketplace, SAP Ariba
Three alternatives
APSentra, Fraxion, Oracle NetSuiteFive alternatives
Coupa, Ivalua, Rippling Spend, Tradogram, Zoho BooksSeven alternatives
Coupa, GEP SMART, Oracle Fusion Cloud Procurement, Precoro, Procurify, SAP Ariba, ZaproTwo alternatives
Precoro, TeampayKimi K2Procurify, Stampliagainst: TipaltiProcurifyChangedagainst: Coupa, Jaggaer, SAP Aribano first choiceagainst: ZycusRampProcurifyagainst: Coupa, SAP Aribaagainst: Alibaba, Global Sources, Made-in-China, SAP Ariba
One alternative
PrecoroThree alternatives
Order.co, Precoro, TradogramSeven alternatives
Coupa, GEP SMART, Ivalua, Precoro, Procurify, SAP Ariba, TradogramFour alternatives
Precoro, ProcureDesk, Spendwise, Zoho InventoryThree alternatives
Precoro, Stampli, TipaltiGLM 4.7 FlashXProcurifyagainst: Coupa, SAP Ariba, StampliPrecoro, ProcurifyChangedno first choiceTradogramno first choiceagainst: Coupa, SAP Ariba
Three alternatives
APSentra, Precoro, ProcureDeskThree alternatives
Coupa, Jaggaer, SAP AribaSeven alternatives
Coupa, GEP SMART, Market Dojo, Precoro, Procurify, SAP Ariba, ZaproSix alternatives
Digital Purchase Order, ERPNext, Precoro, Procuman, ProcureDesk, SpendwiseMiniMax M2.5APSentraProcurify, TradogramChangedCoupa, SAP AribaRamp, Tradogramno first choiceagainst: Coupa, Oracle Fusion Cloud Procurement, SAP Aribaagainst: Chain IQ Group AG, Procure.com, Roseltorg
Two alternatives
Precoro, ProcurifyTwo alternatives
ControlHub, VISCOFive alternatives
Oracle Fusion Cloud Procurement, Precoro, Procurify, Tradogram, ZaproOne alternative
PipefyBold 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.
Seventy-two 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 | 2026-09-17 17:54 | yes | 9 | 9 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-09-17 18:53 | yes | 4 | 7 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.5-flash | 2026-09-17 19:12 | yes | 15 | 20 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-09-17 19:43 | yes | 20 | 6 s |
| Direct recommendation | Grok 4.20 | spacexai/grok-4.1-fast-non-reasoning via vertex (asked for grok-4.20-non-reasoning; the API answered as this version) | 2026-09-17 18:48 | yes | 34 | 18 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-09-17 19:29 | yes | 5 | 5 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-09-17 18:58 | yes | 21 | 50 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-09-17 20:42 | yes | 5 | 3 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-09-17 20:50 | yes | 5 | 19 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-09-17 19:59 | yes | 10 | 26 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-09-17 19:01 | yes | 25 | 126 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-09-17 20:40 | yes | 5 | 20 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-09-17 20:41 | yes | 9 | 8 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-09-17 17:57 | no | 0 | 3 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.5-flash | 2026-09-17 17:57 | yes | 10 | 17 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-09-17 17:54 | yes | 20 | 6 s |
| Paraphrase | Grok 4.20 | spacexai/grok-4.1-fast-non-reasoning via vertex (asked for grok-4.20-non-reasoning; the API answered as this version) | 2026-09-17 18:15 | yes | 14 | 8 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-09-17 17:54 | yes | 5 | 5 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via fireworks | 2026-09-17 21:03 | yes | 13 | 13 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-09-17 18:05 | yes | 5 | 2 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-09-17 19:55 | yes | 5 | 15 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-09-17 18:27 | yes | 9 | 15 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-09-17 18:07 | yes | 15 | 219 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-09-17 20:38 | yes | 5 | 14 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-09-17 20:17 | yes | 10 | 9 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-09-17 20:41 | yes | 7 | 12 s |
| Comparative | Gemini 3.5 Flash | gemini-3.5-flash | 2026-09-17 21:16 | yes | 20 | 160 s |
| Comparative | Perplexity Sonar | sonar | 2026-09-17 19:24 | yes | 20 | 10 s |
| Comparative | Grok 4.20 | spacexai/grok-4.1-fast-non-reasoning via vertex (asked for grok-4.20-non-reasoning; the API answered as this version) | 2026-09-17 20:14 | yes | 34 | 17 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-09-17 18:01 | yes | 10 | 11 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-09-17 18:56 | yes | 18 | 41 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-09-17 19:59 | yes | 5 | 3 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-09-17 19:30 | yes | 5 | 16 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-09-17 20:55 | yes | 15 | 68 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-09-17 19:06 | yes | 10 | 25 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-09-17 21:05 | yes | 15 | 24 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-09-17 19:47 | yes | 16 | 9 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-09-17 21:03 | yes | 5 | 5 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-09-17 19:32 | yes | 15 | 20 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-09-17 19:58 | yes | 20 | 7 s |
| Budget constrained | Grok 4.20 | spacexai/grok-4.1-fast-non-reasoning via vertex (asked for grok-4.20-non-reasoning; the API answered as this version) | 2026-09-17 19:56 | yes | 35 | 18 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-09-17 19:47 | yes | 5 | 3 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via fireworks | 2026-09-17 18:34 | yes | 23 | 21 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-09-17 18:55 | yes | 5 | 3 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-09-17 18:33 | yes | 5 | 27 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-09-17 20:31 | yes | 8 | 22 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-09-17 19:53 | yes | 20 | 70 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-09-17 19:04 | yes | 5 | 11 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-09-17 20:55 | no | 0 | 8 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-09-17 20:55 | no | 0 | 10 s |
| Scale constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-09-17 18:56 | yes | 12 | 23 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-09-17 18:20 | yes | 20 | 9 s |
| Scale constrained | Grok 4.20 | spacexai/grok-4.1-fast-non-reasoning via vertex (asked for grok-4.20-non-reasoning; the API answered as this version) | 2026-09-17 18:40 | yes | 19 | 15 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-09-17 19:24 | no | 0 | 8 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via fireworks | 2026-09-17 18:12 | yes | 19 | 21 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-09-17 18:07 | yes | 5 | 4 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-09-17 19:26 | no | 0 | 26 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-09-17 18:24 | yes | 14 | 24 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-09-17 20:18 | yes | 14 | 50 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-09-17 19:34 | yes | 8 | 20 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-09-17 20:52 | yes | 18 | 7 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-09-17 19:05 | no | 0 | 5 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.5-flash | 2026-09-17 21:17 | yes | 25 | 56 s |
| Negative framing | Perplexity Sonar | sonar | 2026-09-17 19:40 | yes | 20 | 8 s |
| Negative framing | Grok 4.20 | spacexai/grok-4.1-fast-non-reasoning via vertex (asked for grok-4.20-non-reasoning; the API answered as this version) | 2026-09-17 19:48 | yes | 48 | 17 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-09-17 19:46 | yes | 5 | 5 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via fireworks | 2026-09-17 20:06 | yes | 19 | 21 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-09-17 18:19 | yes | 5 | 2 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-09-17 20:41 | yes | 15 | 30 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-09-17 20:22 | yes | 22 | 29 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-09-17 18:38 | yes | 14 | 34 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-09-17 20:22 | yes | 20 | 36 s |
Normalization in this category
Every judgment call made between the raw labels and the numbers above, listed so it is visible and reversible.
ShowHide
Category-scoped readings
Ariba read as SAP Ariba
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 read as Oracle Fusion Cloud Procurement
Oracle Procurement Cloud read as Oracle Fusion Cloud Procurement
Rippling read as Rippling Spend
ServiceNow read as ServiceNow Source-to-Pay Operations
Zapro.ai read as Zapro
Zoho Procure read as Zoho Procurement
Unresolved, counted raw
Chain IQ Group AG
EC21
Elementum
Government e-Marketplace (GeM)
Legacy ERP Procurement Modules (e.g., older Oracle, JD Edwards, or on-premise SAP ECC)
Opstream
Procure.com
Roseltorg
Sirion
Tradekey
Discontinued, still offered
No shut-down product was recommended here.