Procure-to-pay for enterprise buyers
Asked as “procure-to-pay platform”, and as “purchasing software”, on behalf of an enterprise B2B company. 56 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each.
Standing · first-choice share
43%
Clear leader
43Coupa30SAP Ariba09Ivalua18others
43% of first choices, clear leader.
Since September 2026▼−1Since September 2026: 42% → 41%, −1 point. Inside the 10-point floor: within noise. Read over the models both editions asked.Coupa 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
Precoro28%Contested↗new leaderNew leader since September 2026: Precoro (28%) replaces Ramp (27% then, 17% now), 11 points clear, past the 10-point floor.Standing →Mid-market
Procurify42%Clear leader▼−3Since September 2026: 45% → 42%, −3 points. Inside the 10-point floor: within noise. Read over the models both editions asked.Standing →Enterprise
Coupa43%Clear leader▼−1Since September 2026: 42% → 41%, −1 point. Inside the 10-point floor: within noise. Read over the models both editions asked.This page
Precoro28%Contested↗new leaderNew leader since September 2026: Precoro (28%) replaces Ramp (27% then, 17% now), 11 points clear, past the 10-point floor.Standing →Mid-marketProcurify42%Clear leader▼−3Since September 2026: 45% → 42%, −3 points. Inside the 10-point floor: within noise. Read over the models both editions asked.Standing →EnterpriseCoupa43%Clear leader▼−1Since September 2026: 42% → 41%, −1 point. Inside the 10-point floor: within noise. Read over the models both editions asked.This pageThe standing
Share is the count of first choices across the direct, paraphrase, budget and scale prompts, over all fourteen models, for an enterprise B2B company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrantSince September 2026
01Coupa43%18%71endorsed leader▼−1Since September 2026: 42% → 41%, −1 point. Inside the 10-point floor: within noise. Read over the models both editions asked.42% → 41%
Coupa43%18%71endorsed leader▼−1Since September 2026: 42% → 41%, −1 point. Inside the 10-point floor: within noise. Read over the models both editions asked.42% → 41%02
SAP Ariba30%24%72endorsed leader▼−5Since September 2026: 36% → 31%, −5 points. Inside the 10-point floor: within noise. Read over the models both editions asked.36% → 31%
SAP Ariba30%24%72endorsed leader▼−5Since September 2026: 36% → 31%, −5 points. Inside the 10-point floor: within noise. Read over the models both editions asked.36% → 31%03
Ivalua9%11%55accepted challenger▲+1Since September 2026: 9% → 10%, +1 point. Inside the 10-point floor: within noise. Read over the models both editions asked.9% → 10%
Ivalua9%11%55accepted challenger▲+1Since September 2026: 9% → 10%, +1 point. Inside the 10-point floor: within noise. Read over the models both editions asked.9% → 10%04
Oracle Fusion Cloud Procurement7%7%41accepted challenger▲+4Since September 2026: 2% → 6%, +4 points. Inside the 10-point floor: within noise. Read over the models both editions asked.2% → 6%
Oracle Fusion Cloud Procurement7%7%41accepted challenger▲+4Since September 2026: 2% → 6%, +4 points. Inside the 10-point floor: within noise. Read over the models both editions asked.2% → 6%05
GEP SMART5%15%34accepted challenger▲+4Since September 2026: 2% → 6%, +4 points. Inside the 10-point floor: within noise. Read over the models both editions asked.2% → 6%
GEP SMART5%15%34accepted challenger▲+4Since September 2026: 2% → 6%, +4 points. Inside the 10-point floor: within noise. Read over the models both editions asked.2% → 6%06
Zip2%10%21accepted challenger=heldSince September 2026: 2% → 2%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.2% → 2%
Zip2%10%21accepted challenger=heldSince September 2026: 2% → 2%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.2% → 2%Show the two products at 0%, ordered by negative rate
08Procurify0%43%14criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.0% → 0%
Procurify0%43%14criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.0% → 0%07
Jaggaer0%7%29accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.0% → 0%
Jaggaer0%7%29accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.0% → 0%The floor is 10 points of share, measured: how far the models move a leader on their own when the same questions are asked twice with nothing changed. A larger change is movement; a smaller one is noise, and both are shown. Movement is read over the twelve models both editions asked; GPT-6 Luna, Muse Glimmer 30B joined this edition and are in the standing but not yet in the comparison. How the floor is measured
Bars are the share of first choices, 0 to 100Every product with at least 10 labels here. Every product name links to its product page.
For buyers
All twenty-eight head-to-head pages: the top eight products, each against each
Procurify vs SpendwiseProcurify vs CoupaProcurify vs ProcureDeskProcurify vs ZipPrecoro vs RampPrecoro vs TradogramPrecoro vs SpendwisePrecoro vs CoupaPrecoro vs ProcureDeskPrecoro vs ZipRamp vs TradogramRamp vs SpendwiseRamp vs CoupaRamp vs ProcureDeskRamp vs ZipTradogram vs SpendwiseTradogram vs CoupaTradogram vs ProcureDeskTradogram vs ZipSpendwise vs CoupaSpendwise vs ProcureDeskSpendwise vs ZipCoupa vs ProcureDeskCoupa vs ZipProcureDesk vs Zip
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 →
0102030405060708Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative60%
Key
01Coupa43%
Coupa43%02SAP Ariba30%
SAP Ariba30%03Ivalua9%
Ivalua9%04Oracle Fusion Cloud Procurement7%
Oracle Fusion Cloud Procurement7%05GEP SMART5%
GEP SMART5%06Zip2%
Zip2%07Jaggaer0%
Jaggaer0%08Procurify0%
Procurify0%What they warned about
Five of fourteen models held their first choice under the paraphrase. Claude Haiku 4.5, GPT-5.4 mini, Grok 4.1 Fast, Mistral Small, DeepSeek V4 Flash, Llama 4 Maverick, Kimi K2, GLM 4.7 FlashX and Muse Glimmer 30B 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 Ariba24%
17 of 72 labels negative · 11 of 14 models · 6 hard negative
“with **SAP Ariba** being the clearest "caution" case ... the supplier-hostile fee structure alone should give you serious pause.” DeepSeek V4 Flash, negative prompt
Coupa18%
13 of 71 labels negative · 10 of 14 models · 2 hard negative
“Criticized for internal disconnection between modules ... "huge dumpster fire of a platform" for enterprises with complex needs.” Mistral Small, negative prompt
Procurify43%
6 of 14 labels negative · 5 of 14 models · 3 hard negative
“usually avoid as a primary procurement platform... The clearest examples in the results are **Procurify**, **Precoro**, and **Oboloo**” Perplexity Sonar, negative prompt
Ivalua11%
6 of 55 labels negative · 5 of 14 models · 2 hard negative
“avoid: - ❌ **SAP Ariba** (unpredictable supplier fees) - ❌ **Ivalua** (high implementation variance)” DeepSeek V4 Flash, budget prompt
What they cite
Citations exist only for the models that return a source list: fourteen of the fourteen in this edition, and all six flagship models on the expanded tier.
Sites the answers cite
80 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. 1159 links across 263 sites, every framing counted. Ranked by the number of answers carrying the site or page. None of the 252 answers across every segment cited this index's own page for the category.
vendor site · Spendflo38 answers · 45 citations · 12 models
vendor site · G233 answers · 56 citations · 13 models
32 answers · 42 citations · 12 models
vendor site · Precoro24 answers · 28 citations · 10 models
vendor site · G223 answers · 26 citations · 11 models
vendor site · Monday.com22 answers · 22 citations · 10 models
vendor site · Ramp21 answers · 26 citations · 10 models
vendor site · Guideflow19 answers · 21 citations · 9 models
vendor site · Ivalua18 answers · 25 citations · 12 models
16 answers · 18 citations · 8 models
15 answers · 27 citations · 8 models
15 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.
28 answers · 11 models
24 answers · 11 models
22 answers · 10 models
17 answers · 8 models
15 answers · 10 models
15 answers · 8 models
14 answers · 8 models
12 answers · 8 models
11 answers · 9 models
10 answers · 6 models
Search against answers
Each company's standing in the answers beside its site's footprint in Google search, one row a site: the products the models named on it with their shares, and the share they add up to; monthly searches on Google, and DataForSEO's estimate of AI search demand (modeled from search signals, directional, not a count of queries to any assistant), for the most-searched of the company's and its products' names (the name is in each row's hover text); estimated monthly organic visits to the site; and its best position in Google's top ten for “best 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 | 43% | 674 | 60,500 | 1,210 | 41,319 | $339 | 91 | 2 |
| SAP Ariba sap.com | 30% | 519 | 8,100 | 554 | 2,214,514 | $1,251 | 23 | |
| Ivalua ivalua.com | 9% | 258 | 3,600 | 87 | 35,515 | 80 | ||
| Oracle Fusion oracle.com Oracle Fusion Cloud Procurement 7% | 7% | 111 | 170 | 2 | 7,410,638 company | $247 | 101 | |
| GEP gep.com GEP SMART 5%, GEP Quantum Intelligence 0% | 5% | 169 | 880 | 26 | 54,424 company | 51 | 9 | |
| Zip zip.com | 2% | 95 | 301,000 | 498,436 | 18,669 | 34 | ||
| Pivot pivotapp.ai | 2% | 2 | 4 | |||||
| Precoro precoro.com | 2% | 283 | 1,000 | 3 | 82,966 | 86 | ||
| Jaggaer jaggaer.com | 0% | 181 | 5,400 | 218 | 21,919 | $82 | 9 | |
| Workday parent site Workday P2P/T&E 0%, Workday Strategic Sourcing 0% | 0% | 28 | 1,220,000 | 23,848 |
Google's top ten for the three searches hold 24 sites; 2 of them are among the sites the models cited here (g2.com, learn.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 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 4.5CoupaCoupa, SAP AribaChangedno first choicePivotagainst: Coupano first choicenothing named
Four alternatives
GEP SMART, Jaggaer, Oracle Fusion Cloud Procurement, SAP AribaTwo alternatives
GEP SMART, IvaluaOne alternative
SAP AribaGPT-5.4 miniIvalua, SAP AribaSAP AribaChangedCoupa, SAP Aribaagainst: Ramp, Stampli, TeampayCoupaagainst: SAP Aribano first choicenothing named
One alternative
CoupaFour alternatives
Coupa, Ivalua, Oracle Fusion Cloud Procurement, SAP Business NetworkSix alternatives
Ivalua, Jaggaer, Oracle Fusion Cloud Procurement, Procurify, ServiceNow Source-to-Pay Operations, ZipOne alternative
Oracle Fusion Cloud ProcurementGemini 3.5 FlashCoupaCoupaHeldno first choiceIvaluaagainst: Coupa, SAP Aribano first choiceagainst: Oracle EBS, Precoro, Procurify, SAP Business Network, SAP ECC, Teampay
Six alternatives
Basware, GEP SMART, Ivalua, Oracle Fusion Cloud Procurement, SAP Ariba, ZipFive alternatives
Ivalua, Jaggaer, Oracle Fusion Cloud Procurement, SAP Ariba, ZipSeven alternatives
Coupa, GEP SMART, Ivalua, Jaggaer, Oracle Fusion Cloud Procurement, SAP Ariba, ZipThree alternatives
Kissflow Procurement, Medius, StampliPerplexity SonarSAP Aribaagainst: mJPROSAP AribaHeldno first choiceCoupaagainst: GEP SMART, Ivaluano first choiceagainst: Precoro, Procurify, oboloo
Two alternatives
Coupa, IvaluaTwo alternatives
Coupa, Oracle Fusion Cloud ProcurementOne alternative
SAP AribaGrok 4.1 FastCoupa, SAP Aribaagainst: Procurify, StampliCoupa, Oracle Fusion Cloud Procurement, SAP AribaChangedagainst: Procurify, Zipno first choiceOracle Fusion Cloud Procurementagainst: SAP AribaCoupaagainst: Coupa, GEP SMART, Ivalua, Oracle Fusion Cloud Procurement, SAP Ariba
Three alternatives
Ivalua, Jaggaer, Oracle Fusion Cloud ProcurementTwo alternatives
GEP SMART, Workday P2P/T&ETwo alternatives
Coupa, IvaluaTwo alternatives
Precoro, SpendfloMistral SmallCoupa, SAP AribaZipChangedCoupa, SAP AribaIvaluaagainst: SAP Aribano first choiceagainst: Amazon Business, Coupa, Oracle-class tools, SAP Ariba
One alternative
IvaluaFour alternatives
Coupa, Ivalua, Ramp, SAP AribaThree alternatives
Ivalua, Jaggaer, Oracle Fusion Cloud ProcurementOne alternative
CoupaDeepSeek V4 FlashCoupaCoupa, SAP AribaChangedCoupa, SAP AribaOracle Fusion Cloud Procurementagainst: Ivalua, SAP AribaCoupaagainst: Basware, Precoro, Procurifyagainst: Basware, Coupa, GEP SMART, Ivalua, Jaggaer, Omnea, Oracle Fusion Cloud Procurement, Pivot, SAP Ariba
Three alternatives
Ivalua, Oracle Fusion Cloud Procurement, SAP AribaThree alternatives
GEP SMART, Ivalua, JaggaerFive alternatives
GEP SMART, Ivalua, Jaggaer, Oracle Fusion Cloud Procurement, Workday P2P/T&EThree alternatives
Coupa, GEP SMART, ZipFour alternatives
GEP SMART, Ivalua, Jaggaer, SAP AribaLlama 4 Maverickno first choiceSAP AribaChangedCoupaagainst: SAP AribaIvaluano first choiceagainst: Coupa, GEP SMART, Ivalua
One alternative
RampOne alternative
ZipTwo alternatives
Coupa, SAP AribaQwen 3.7 FlashCoupaCoupaHeldCoupa, Oracle Fusion Cloud Procurement, SAP AribaSAP Aribaagainst: Workday P2P/T&Eno first choicenothing named
Four alternatives
GEP SMART, Ivalua, Oracle Fusion Cloud Procurement, SAP AribaFour alternatives
Oracle Fusion Cloud Procurement, SAP Ariba, Workday Spend Management, ZycusTwo alternatives
Ivalua, WorkdayThree alternatives
Coupa, GEP SMART, JaggaerSeven alternatives
BILL, Basware, Coupa, Ivalua, Kissflow Procurement, SAP Ariba, TipaltiKimi K2CoupaSAP AribaChangedCoupaPrecoroagainst: Coupa, Ivalua, SAP Aribano first choiceagainst: Coupa, Jaggaer, SAP Ariba
Three alternatives
GEP SMART, Ivalua, SAP AribaThree alternatives
Coupa, Ivalua, JaggaerFive alternatives
GEP Quantum Intelligence, Ivalua, Jaggaer, Oracle Fusion Cloud Procurement, SAP AribaTwo alternatives
Procurify, RampGLM 4.7 FlashXCoupa, SAP AribaCoupa, GEP SMARTChangedno first choiceGEP SMARTagainst: Coupa, SAP Aribano first choiceagainst: Coupa, SAP Ariba, Teampay
Four alternatives
Basware, GEP SMART, Ivalua, JaggaerFour alternatives
Microsoft Dynamics 365 Procurement, Oracle Fusion Cloud Procurement, SAP Ariba, Workday P2P/T&ESeven alternatives
Coupa, GEP SmartSource, Jaggaer, Microsoft Dynamics 365 Procurement, Oracle Fusion Cloud Procurement, SAP Ariba, Workday Strategic SourcingOne alternative
Oracle Fusion Cloud ProcurementMiniMax M2.5Coupa, SAP AribaCoupa, SAP AribaHeldno first choiceGEP SMART, Ivaluaagainst: Coupano first choiceagainst: Coupa, SAP Ariba
One alternative
Oracle Fusion Cloud ProcurementTwo alternatives
Oracle Fusion Cloud Procurement, Workday P2P/T&EFive alternatives
Coupa, GEP SMART, Oracle Fusion Cloud Procurement, SAP Ariba, Workday P2P/T&EOne alternative
SAP AribaGPT-6 LunaCoupaCoupaHeldno first choiceOracle Fusion Cloud Procurementno first choiceagainst: Oracle Fusion Cloud Procurement, SAP Ariba
Three alternatives
Ivalua, Oracle Fusion Cloud Procurement, SAP AribaFour alternatives
Ivalua, Jaggaer, Oracle Fusion Cloud Procurement, SAP AribaThree alternatives
Coupa, Ivalua, SAP AribaMuse Glimmer 30BCoupa, SAP AribaSAP AribaChangedCoupa, Oracle Fusion Cloud Procurement, SAP AribaCoupaagainst: SAP Aribano first choiceagainst: Coupa, GEP SMART, Order.co, Payhawk, Precoro, Procurify, Ramp, SAP Ariba, Tradogram, Zip
One alternative
Oracle Fusion Cloud ProcurementOne alternative
CoupaTwo alternatives
GEP SMART, IvaluaThree alternatives
GEP SMART, Ivalua, PrecoroBold is the first choiceAlternatives are counted; the count opens them.What the answer argued against
The record
One row per call: the version string exactly as returned, whether the model searched, sources cited, and latency. Full answer text is in the free responses file. Download the record
Eighty-four rows: every prompt, every model, every answer.
| Prompt | Model | Version string | Time (UTC) | Searched | Sources | Latency |
|---|---|---|---|---|---|---|
| Direct recommendation | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 10:12 | yes | 13 | 8 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 09:33 | yes | 5 | 6 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 11:27 | yes | 19 | 24 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-10-01 10:40 | yes | 16 | 3 s |
| Direct recommendation | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 07:37 | yes | 24 | 10 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 10:15 | yes | 13 | 6 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 09:41 | yes | 21 | 24 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 10:03 | yes | 5 | 2 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 10:20 | yes | 10 | 22 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 08:09 | yes | 20 | 24 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 09:49 | yes | 12 | 58 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 08:48 | yes | 13 | 29 s |
| Direct recommendation | GPT-6 Luna | gpt-6-luna | 2026-10-01 10:24 | yes | 4 | 13 s |
| Direct recommendation | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 08:49 | yes | 13 | 19 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 10:12 | yes | 9 | 7 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 08:22 | yes | 2 | 6 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 09:44 | yes | 9 | 19 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-10-01 09:10 | yes | 17 | 3 s |
| Paraphrase | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 08:52 | yes | 15 | 7 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 10:51 | yes | 5 | 4 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 11:04 | yes | 10 | 36 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 11:17 | yes | 5 | 2 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 10:50 | no | 0 | 24 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 09:06 | yes | 10 | 20 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 07:59 | yes | 20 | 32 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 10:29 | yes | 10 | 37 s |
| Paraphrase | GPT-6 Luna | gpt-6-luna | 2026-10-01 10:14 | yes | 3 | 15 s |
| Paraphrase | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 09:51 | yes | 13 | 16 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 09:47 | yes | 10 | 8 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 07:49 | yes | 7 | 8 s |
| Comparative | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 08:48 | yes | 30 | 30 s |
| Comparative | Perplexity Sonar | sonar | 2026-10-01 11:20 | yes | 16 | 6 s |
| Comparative | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 08:10 | yes | 25 | 10 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 08:56 | yes | 25 | 12 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 10:08 | yes | 25 | 47 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 07:50 | yes | 5 | 1 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 10:22 | yes | 10 | 39 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 08:14 | yes | 14 | 24 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 08:32 | yes | 24 | 30 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 11:19 | yes | 10 | 18 s |
| Comparative | GPT-6 Luna | gpt-6-luna | 2026-10-01 07:39 | yes | 7 | 38 s |
| Comparative | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 09:19 | yes | 14 | 30 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 08:30 | yes | 15 | 8 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 07:50 | yes | 6 | 5 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 08:08 | yes | 28 | 34 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-10-01 08:17 | yes | 14 | 4 s |
| Budget constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 11:12 | yes | 22 | 9 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 10:42 | yes | 17 | 9 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 10:52 | yes | 21 | 41 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 11:14 | yes | 5 | 2 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 08:11 | yes | 24 | 76 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 08:06 | yes | 23 | 31 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 07:56 | yes | 24 | 79 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 09:07 | yes | 20 | 57 s |
| Budget constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 08:42 | yes | 3 | 22 s |
| Budget constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 08:17 | yes | 20 | 53 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 10:42 | yes | 18 | 12 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 10:25 | no | 0 | 11 s |
| Scale constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 11:26 | yes | 10 | 24 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-10-01 07:39 | yes | 17 | 5 s |
| Scale constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 09:12 | yes | 19 | 8 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 08:36 | no | 0 | 9 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 08:46 | yes | 23 | 60 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 09:00 | yes | 8 | 6 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 11:05 | no | 0 | 30 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 10:14 | yes | 13 | 19 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 10:07 | yes | 25 | 32 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 09:59 | yes | 5 | 20 s |
| Scale constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 07:56 | yes | 3 | 41 s |
| Scale constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 11:21 | yes | 14 | 27 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 09:40 | yes | 25 | 11 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 10:33 | yes | 4 | 7 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 08:04 | yes | 18 | 29 s |
| Negative framing | Perplexity Sonar | sonar | 2026-10-01 09:37 | yes | 17 | 4 s |
| Negative framing | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 10:47 | yes | 24 | 9 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 10:34 | yes | 9 | 5 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 11:04 | yes | 25 | 63 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 08:22 | yes | 5 | 2 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 11:10 | yes | 5 | 31 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 08:00 | yes | 25 | 22 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 10:56 | yes | 24 | 27 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 09:25 | yes | 15 | 32 s |
| Negative framing | GPT-6 Luna | gpt-6-luna | 2026-10-01 09:13 | yes | 6 | 18 s |
| Negative framing | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 09:08 | yes | 22 | 38 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
Bill.com read as BILL
GEP read as GEP SMART
Kissflow read as Kissflow Procurement
Oracle read as Oracle Fusion Cloud Procurement
Oracle Fusion read as Oracle Fusion Cloud Procurement
Oracle Procurement Cloud read as Oracle Fusion Cloud Procurement
Workday Procurement read as Workday P2P/T&E
Unresolved, counted raw
GEP SmartSource
Oracle-class tools (often bundled with ERP systems)
Workday Spend Management
Discontinued, still offered
No shut-down product was recommended here.