Procure-to-pay for enterprise buyers
Asked as “procure-to-pay platform”, and as “purchasing software”, on behalf of an enterprise B2B company. 53 first choices recorded across the direct, paraphrase, budget and scale prompts, twelve models each.
Standing · first-choice share
42%
Clear leader
42Coupa36SAP Ariba09Ivalua13others
42% 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 an enterprise B2B company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrant
Show the one product 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.
Head to headHead-to-head pages are published for mid-market buyers, so these open on mid-market figures, not enterprise.
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
07Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative60%
Key
01Coupa42%
Coupa42%02SAP Ariba36%
SAP Ariba36%03Ivalua9%
Ivalua9%04GEP SMART2%
GEP SMART2%05Oracle Fusion Cloud Procurement2%
Oracle Fusion Cloud Procurement2%06Zip2%
Zip2%07Jaggaer0%
Jaggaer0%What they warned about
Four of twelve models held their first choice under the paraphrase. Claude Haiku 4.5, GPT-5.4 mini, Gemini 3.5 Flash, Perplexity Sonar, 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 Ariba16%
10 of 61 labels negative · 8 of 12 models · 1 hard negative
“When to Avoid: Unless you're deeply embedded in SAP (e.g., S/4HANA users), skip it.” Grok 4.20, negative prompt
Coupa15%
8 of 55 labels negative · 7 of 12 models · 1 hard negative
“Avoid Coupa's standard per-seat licensing: ... Coupa's standard per-user/per-module pricing can become cost-prohibitive” Gemini 3.5 Flash, budget prompt
Oracle Fusion Cloud Procurement10%
3 of 31 labels negative · 3 of 12 models
“For large enterprises running different stacks, configuring Oracle Procurement to talk to your legacy systems can result in months of delayed deployment and steep professional services bills.” Qwen 3.7 Flash, negative prompt
Amazon Business100%
2 of 2 labels negative · 2 of 12 models · 1 hard negative
“making it risky for complex enterprise procurement needs” Mistral Small, negative 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
64 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. 949 links across 246 sites, every framing counted. Ranked by the number of answers carrying the site or page.
27 answers · 44 citations · 11 models
27 answers · 30 citations · 10 models
vendor site · G224 answers · 24 citations · 11 models
20 answers · 22 citations · 8 models
vendor site · Guideflow17 answers · 20 citations · 7 models
vendor site · Ivalua16 answers · 25 citations · 9 models
vendor site · Zycus16 answers · 20 citations · 6 models
vendor site · Precoro15 answers · 20 citations · 8 models
14 answers · 25 citations · 6 models
vendor site · G214 answers · 19 citations · 8 models
14 answers · 18 citations · 10 models
13 answers · 13 citations · 7 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.
21 answers · 11 models
19 answers · 10 models
15 answers · 7 models
14 answers · 10 models
13 answers · 7 models
12 answers · 8 models
12 answers · 5 models
12 answers · 6 models
12 answers · 8 models
11 answers · 5 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 |
|---|---|---|---|---|---|---|---|---|
| Coupa coupa.com | 42% | 637 | 60,500 | 1,210 | 41,319 | $339 | 91 | 2 |
| SAP Ariba sap.com | 36% | 553 | 8,100 | 554 | 2,214,514 | $1,251 | 23 | |
| Ivalua ivalua.com | 9% | 313 | 3,600 | 87 | 35,515 | 80 | ||
| Stampli stampli.com | 4% | 194 | 18,100 | 68 | 26,332 | $39 | 53 | |
| GEP gep.com GEP SMART 2%, GEP NEXXT 0% | 2% | 188 | 880 | 26 | 54,424 company | 51 | 9 | |
| Oracle Fusion oracle.com Oracle Fusion Cloud Procurement 2% | 2% | 155 | 170 | 2 | 7,410,638 company | $247 | 101 | |
| Zip zip.com | 2% | 96 | 301,000 | 498,436 | 18,669 | 34 | ||
| Precoro precoro.com | 2% | 341 | 1,000 | 3 | 82,966 | 86 | ||
| Pivot pivotapp.ai | 2% | 2 | 4 | |||||
| Jaggaer jaggaer.com | 0% | 231 | 5,400 | 218 | 21,919 | $82 | 9 |
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, procurementmag.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 an enterprise B2B company?”Paraphrase“Which purchasing software would you recommend to a large B2B company with thousands of employees?”Comparative“What are the top enterprise-grade procurement platforms and how do they differ?”Budget-constrained“What is the best procure-to-pay platform for a large company that needs predictable total cost across thousands of users?”Scale-constrained“We are a 5,000 person company with SSO, SOC 2 and procurement review requirements evaluating a procure-to-pay platform. What should we look at?”Negative“Which procurement platforms should a large enterprise avoid or be cautious about?”
Claude Haiku 4.5no first choiceSAP AribaChangedno first choicePivotno first choicenothing named
Five alternatives
Corcentric, Coupa, Determine, Infor CloudSuite, JaggaerTwo alternatives
Coupa, SAP AribaGPT-5.4 miniCoupaCoupa, IvaluaChangedno first choiceCoupano first choicenothing named
Three alternatives
Ivalua, Oracle Fusion Cloud Procurement, SAP AribaTwo alternatives
Oracle Fusion Cloud Procurement, SAP AribaFive alternatives
Coupa, GEP SMART, Ivalua, Oracle Fusion Cloud Procurement, SAP AribaOne alternative
SAP AribaGemini 3.5 FlashCoupa, SAP AribaCoupaChangedCoupaIvaluaagainst: Coupano first choiceagainst: Coupa, Fraxion, Jaggaer, Precoro, Procurify, SAP Ariba, Tradogram
Four alternatives
GEP SMART, Ivalua, Jaggaer, ZipFour alternatives
GEP SMART, Ivalua, SAP Ariba, ZipSix alternatives
GEP SMART, Ivalua, Jaggaer, Oracle Fusion Cloud Procurement, SAP Ariba, ZipThree alternatives
Basware, Precoro, SAP AribaPerplexity SonarCoupaSAP AribaChangedno first choicePrecoroagainst: SAP AribaCoupa, Ivalua, SAP Aribaagainst: Oracle Fusion Cloud Procurement, Order.co, Precoro, ProcurementExpress.com, Procurify, Ramp, Rippling Spend, Tradogram, Workday P2P/T&E
Four alternatives
GEP SMART, Ivalua, Oracle Fusion Cloud Procurement, SAP AribaTwo alternatives
Coupa, IvaluaOne alternative
CoupaGrok 4.20Coupa, SAP AribaCoupa, SAP AribaHeldCoupa, Ivaluaagainst: Zip, ZycusCoupa, SAP AribaCoupaagainst: Coupa, GEP SMART, Ivalua, Oracle Fusion Cloud Procurement, SAP Ariba
Two alternatives
GEP SMART, IvaluaFour alternatives
GEP SMART, Ivalua, Jaggaer, Oracle Fusion Cloud ProcurementFour alternatives
GEP SMART, Jaggaer, Oracle Fusion Cloud Procurement, SAP AribaThree alternatives
GEP SMART, Ivalua, Oracle Fusion Cloud ProcurementThree alternatives
Ivalua, SAP Ariba, ZycusMistral SmallSAP AribaSAP AribaHeldno first choiceagainst: CoupaSAP Aribano first choiceagainst: Amazon Business, ProcurePort ProcureWare / eBid Systems, Workday Strategic Sourcing
Two alternatives
Coupa, JaggaerThree alternatives
Coupa, Ivalua, ZipOne alternative
GEP SMARTDeepSeek V4 FlashCoupaCoupaHeldCoupaCoupaagainst: SAP AribaCoupa, Ivaluaagainst: Coupa, SAP Ariba, SAP Fieldglass
Four alternatives
GEP SMART, Ivalua, Oracle Fusion Cloud Procurement, SAP AribaThree alternatives
Ivalua, Oracle Fusion Cloud Procurement, SAP AribaSeven alternatives
GEP SMART, Ivalua, Jaggaer, Oracle Fusion Cloud Procurement, SAP Ariba, Workday Strategic Sourcing, ZycusTwo alternatives
Oracle Fusion Cloud Procurement, Workday P2P/T&ETwo alternatives
GEP SMART, SAP AribaLlama 4 MaverickSAP AribaSAP Ariba, ZipChangedCoupa, SAP AribaIvalua, Oracle Fusion Cloud Procurement, SAP Ariba, Stamplino first choiceagainst: Amazon Business, Coupa, Microsoft Dynamics 365, Oracle NetSuite
Two alternatives
GEP SMART, StampliOne alternative
GEP SMARTQwen 3.7 FlashSAP AribaCoupaChangedagainst: ProcuriousCoupaCoupano first choiceagainst: SAP Concur, Workdayagainst: Oracle Fusion Cloud Procurement, SAP Ariba
Four alternatives
Coupa, GEP NEXXT, Ivalua, Oracle Fusion Cloud ProcurementThree alternatives
Ivalua, Oracle Fusion Cloud Procurement, SAP AribaFive alternatives
GEP SMART, Ivalua, Oracle Fusion Cloud Procurement, SAP Ariba, Workday Strategic SourcingTwo alternatives
Ivalua, SAP AribaKimi K2CoupaCoupa, SAP AribaChangedCoupa, SAP AribaStampliagainst: SAP AribaCoupa, SAP Aribaagainst: Coupa, Jaggaer, SAP Ariba
Two alternatives
Ivalua, SAP AribaTwo alternatives
Ivalua, JaggaerThree alternatives
Ivalua, Jaggaer, Oracle Fusion Cloud ProcurementThree alternatives
Coupa, Precoro, ProcurifyFour alternatives
GEP SMART, Procurify, Tipalti, ZipGLM 4.7 FlashXno first choiceSAP AribaChangedSAP AribaCoupano first choiceagainst: Microsoft Dynamics 365, Oracle NetSuite, SAP Ariba, Workday P2P/T&E
Four alternatives
Coupa, GEP SMART, Ivalua, Oracle Fusion Cloud ProcurementFour alternatives
Coupa, GEP SMART, Ivalua, JaggaerFour alternatives
GEP SMART, Ivalua, Oracle Fusion Cloud Procurement, SAP AribaMiniMax M2.5SAP AribaSAP AribaHeldSAP AribaGEP SMARTagainst: Coupa, SAP AribaCoupanothing named
Five alternatives
Basware, Coupa, GEP SMART, Jaggaer, Oracle Fusion Cloud ProcurementTwo alternatives
Coupa, IvaluaSix alternatives
Coupa, GEP SMART, Ivalua, Jaggaer, Oracle Fusion Cloud Procurement, ZipOne alternative
IvaluaFour alternatives
Basware, Oracle Fusion Cloud Procurement, Procurement, SAP AribaBold 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 20:53 | no | 0 | 5 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-09-17 18:47 | yes | 5 | 9 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.5-flash | 2026-09-17 21:56 | yes | 10 | 53 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-09-17 17:58 | yes | 20 | 7 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 19:33 | yes | 33 | 15 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-09-17 18:10 | yes | 15 | 10 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via fireworks | 2026-09-17 20:36 | yes | 10 | 21 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-09-17 21:07 | yes | 5 | 2 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-09-17 19:35 | yes | 5 | 17 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-09-17 18:25 | yes | 10 | 21 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-09-17 20:40 | yes | 21 | 95 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-09-17 20:45 | yes | 14 | 35 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-09-17 19:23 | no | 0 | 5 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-09-17 19:58 | yes | 2 | 5 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.5-flash | 2026-09-17 18:02 | yes | 17 | 23 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-09-17 18:48 | 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 20:05 | yes | 14 | 8 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-09-17 20:48 | yes | 5 | 4 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via fireworks | 2026-09-17 19:45 | yes | 10 | 13 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-09-17 19:36 | yes | 5 | 3 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-09-17 20:10 | no | 0 | 27 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-09-17 20:11 | yes | 20 | 26 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-09-17 19:53 | yes | 13 | 67 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-09-17 18:39 | yes | 5 | 19 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-09-17 19:38 | yes | 9 | 8 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-09-17 20:23 | yes | 6 | 9 s |
| Comparative | Gemini 3.5 Flash | gemini-3.5-flash | 2026-09-17 18:03 | yes | 18 | 33 s |
| Comparative | Perplexity Sonar | sonar | 2026-09-17 20:13 | 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 19:07 | yes | 25 | 15 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-09-17 18:32 | yes | 15 | 11 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via fireworks | 2026-09-17 18:23 | yes | 19 | 30 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-09-17 19:58 | yes | 5 | 3 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-09-17 20:18 | yes | 5 | 17 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-09-17 18:59 | yes | 20 | 32 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-09-17 18:42 | yes | 34 | 100 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-09-17 20:02 | yes | 9 | 34 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-09-17 20:52 | yes | 14 | 8 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-09-17 19:58 | yes | 6 | 7 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-09-17 19:57 | yes | 24 | 31 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-09-17 17:53 | yes | 17 | 6 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 19:04 | yes | 35 | 19 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-09-17 19:25 | yes | 5 | 5 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via fireworks | 2026-09-17 21:02 | yes | 17 | 24 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-09-17 17:53 | yes | 5 | 2 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-09-17 20:56 | no | 0 | 27 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-09-17 20:09 | yes | 10 | 30 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-09-17 20:05 | yes | 15 | 41 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-09-17 18:41 | yes | 17 | 44 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-09-17 18:58 | yes | 18 | 11 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-09-17 18:20 | no | 0 | 9 s |
| Scale constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-09-17 18:31 | yes | 3 | 28 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-09-17 18:21 | yes | 20 | 15 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 18:26 | yes | 14 | 12 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-09-17 17:57 | no | 0 | 8 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via fireworks | 2026-09-17 19:22 | yes | 20 | 28 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-09-17 20:07 | yes | 5 | 3 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-09-17 18:08 | no | 0 | 30 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-09-17 18:07 | yes | 24 | 51 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-09-17 18:34 | yes | 24 | 98 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-09-17 20:48 | yes | 5 | 23 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-09-17 20:59 | yes | 36 | 13 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-09-17 20:52 | yes | 4 | 8 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.5-flash | 2026-09-17 20:12 | yes | 12 | 24 s |
| Negative framing | Perplexity Sonar | sonar | 2026-09-17 20:48 | yes | 20 | 6 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 20:18 | yes | 23 | 16 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-09-17 20:05 | yes | 15 | 11 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-09-17 20:19 | yes | 25 | 71 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-09-17 20:37 | yes | 5 | 3 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-09-17 19:49 | no | 0 | 34 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-09-17 19:42 | yes | 30 | 50 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-09-17 19:20 | yes | 27 | 60 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-09-17 19:48 | yes | 10 | 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.
ShowHide
Category-scoped readings
Ariba read as SAP Ariba
GEP read as GEP SMART
Microsoft Dynamics read as Microsoft Dynamics 365
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
Workday Procurement read as Workday P2P/T&E
Unresolved, counted raw
ProcurePort ProcureWare / eBid Systems
Procurement (Tipalti)
Prodigy
Discontinued, still offered
No shut-down product was recommended here.