Spend management platforms for enterprise buyers
Asked as “spend management platform”, and as “all-in-one spend control software”, on behalf of an enterprise B2B company. 55 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each.
Standing · first-choice share
56%
Clear leader
56Coupa11Ramp05Brex27others
56% of first choices, clear leader.
Since September 2026▲+1Since September 2026: 54% → 55%, +1 point. Inside the 10-point floor: within noise. Read over the models both editions asked.Coupa held the lead, +1 point on 54%, 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
Ramp58%Clear leader▲+2Since September 2026: 51% → 53%, +2 points. Inside the 10-point floor: within noise. Read over the models both editions asked.Standing →Mid-marketRamp44%Clear leader▼−6Since September 2026: 49% → 43%, −6 points. Inside the 10-point floor: within noise. Read over the models both editions asked.Standing →Enterprise
Coupa56%Clear leader▲+1Since September 2026: 54% → 55%, +1 point. Inside the 10-point floor: within noise. Read over the models both editions asked.This page
Ramp58%Clear leader▲+2Since September 2026: 51% → 53%, +2 points. Inside the 10-point floor: within noise. Read over the models both editions asked.Standing →Mid-marketRamp44%Clear leader▼−6Since September 2026: 49% → 43%, −6 points. Inside the 10-point floor: within noise. Read over the models both editions asked.Standing →EnterpriseCoupa56%Clear leader▲+1Since September 2026: 54% → 55%, +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
01Coupa56%16%68endorsed leader▲+1Since September 2026: 54% → 55%, +1 point. Inside the 10-point floor: within noise. Read over the models both editions asked.54% → 55%
Coupa56%16%68endorsed leader▲+1Since September 2026: 54% → 55%, +1 point. Inside the 10-point floor: within noise. Read over the models both editions asked.54% → 55%02Ramp11%36%55criticized challenger▼−1Since September 2026: 14% → 13%, −1 point. Inside the 10-point floor: within noise. Read over the models both editions asked.14% → 13%
Ramp11%36%55criticized challenger▼−1Since September 2026: 14% → 13%, −1 point. Inside the 10-point floor: within noise. Read over the models both editions asked.14% → 13%03
SAP Concur5%22%40accepted challenger▼−2Since September 2026: 6% → 4%, −2 points. Inside the 10-point floor: within noise. Read over the models both editions asked.6% → 4%
SAP Concur5%22%40accepted challenger▼−2Since September 2026: 6% → 4%, −2 points. Inside the 10-point floor: within noise. Read over the models both editions asked.6% → 4%04
Payhawk5%24%21accepted challenger=heldSince September 2026: 4% → 4%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.4% → 4%
Payhawk5%24%21accepted challenger=heldSince September 2026: 4% → 4%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.4% → 4%05
Brex5%38%48criticized challenger=heldSince September 2026: 6% → 6%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.6% → 6%
Brex5%38%48criticized challenger=heldSince September 2026: 6% → 6%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.6% → 6%06
SAP Ariba4%21%39accepted challenger=heldSince September 2026: 2% → 2%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.2% → 2%
SAP Ariba4%21%39accepted challenger=heldSince September 2026: 2% → 2%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.2% → 2%07
BILL Spend & Expense4%54%13criticized challenger▲+2Since September 2026: 2% → 4%, +2 points. Inside the 10-point floor: within noise. Read over the models both editions asked.2% → 4%
BILL Spend & Expense4%54%13criticized challenger▲+2Since September 2026: 2% → 4%, +2 points. Inside the 10-point floor: within noise. Read over the models both editions asked.2% → 4%08
Ivalua2%0%20accepted challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 10-point floor: within noise. Read over the models both editions asked.0% → 2%
Ivalua2%0%20accepted challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 10-point floor: within noise. Read over the models both editions asked.0% → 2%09
Spendesk2%44%16criticized challenger=heldSince September 2026: 2% → 2%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.2% → 2%
Spendesk2%44%16criticized 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 five products at 0%, ordered by negative rate
14
Airbase0%36%22criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.0% → 0%
Airbase0%36%22criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.0% → 0%13
Navan0%23%13accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.0% → 0%
Navan0%23%13accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.0% → 0%12
Oracle Fusion Cloud Procurement0%18%11accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.0% → 0%
Oracle Fusion Cloud Procurement0%18%11accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.0% → 0%11
Jaggaer0%10%10accepted 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%10%10accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.0% → 0%10
GEP SMART0%0%14accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.0% → 0%
GEP SMART0%0%14accepted 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-one head-to-head pages: the top seven products, each against each
Ramp vs SpendeskRamp vs Zoho ExpenseRamp vs CoupaAirbase vs BILL Spend & ExpenseAirbase vs PayhawkAirbase vs SpendeskAirbase vs Zoho ExpenseAirbase vs CoupaBILL Spend & Expense vs PayhawkBILL Spend & Expense vs SpendeskBILL Spend & Expense vs Zoho ExpenseBILL Spend & Expense vs CoupaPayhawk vs SpendeskPayhawk vs Zoho ExpensePayhawk vs CoupaSpendesk vs Zoho ExpenseSpendesk vs CoupaZoho Expense vs Coupa
One product takes 56% of first choices here, so the chart would put thirteen markers in one corner and one at the far edge. The two measurements it plots are columns in the standing above: share, and the negative label rate. Five products carry a negative rate above 25% in this category.
What they warned about
Five of fourteen models held their first choice under the paraphrase. GPT-5.4 mini, Gemini 3.5 Flash, Grok 4.1 Fast, Llama 4 Maverick, Qwen 3.7 Flash, Kimi K2, GLM 4.7 FlashX, GPT-6 Luna 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.
Brex38%
18 of 48 labels negative · 11 of 14 models · 4 hard negative
“multiple complaints about poor customer support, unresponsive service, and sudden account closures” Mistral Small, negative prompt
Ramp36%
20 of 55 labels negative · 10 of 14 models · 3 hard negative
“Platforms to **Avoid for Large Enterprises** (Better for SMBs/Startups): - **Ramp, Brex, Pleo, Spendesk, Airbase**” Grok 4.1 Fast, negative prompt
Coupa16%
11 of 68 labels negative · 10 of 14 models
“it requires 6-12 months of professional services to implement... Teams struggle with feature overload, steep learning curves” Claude Haiku 4.5, negative prompt
Expensify100%
9 of 9 labels negative · 8 of 14 models · 4 hard negative
“avoid platforms designed for startups or mid-market (Ramp, Brex, Expensify, Procurify)” DeepSeek V4 Flash, negative 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
82 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. 1228 links across 241 sites, every framing counted. Ranked by the number of answers carrying the site or page. 11 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.
vendor site · Ramp45 answers · 72 citations · 14 models
vendor site · Emburse43 answers · 46 citations · 13 models
vendor site · Brex35 answers · 47 citations · 11 models
vendor site · Zylo35 answers · 37 citations · 11 models
vendor site · Spendflo31 answers · 35 citations · 11 models
vendor site · BILL29 answers · 31 citations · 12 models
vendor site · G226 answers · 41 citations · 13 models
vendor site · G226 answers · 35 citations · 11 models
vendor site · Spendesk25 answers · 34 citations · 10 models
vendor site · Precoro25 answers · 26 citations · 11 models
25 answers · 25 citations · 11 models
24 answers · 28 citations · 11 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.
37 answers · 12 models
33 answers · 11 models
23 answers · 11 models
23 answers · 9 models
23 answers · 11 models
23 answers · 11 models
22 answers · 11 models
21 answers · 9 models
20 answers · 11 models
20 answers · 9 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 spend management platform”, “spend management platform”, “spend management 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 | 56% | 674 | 60,500 | 1,210 | 41,319 | $339 | 91 | |
| Ramp ramp.com | 11% | 1042 | 246,000 | 49,733 | 770,056 | $13,511 | 120 | 3 |
| SAP Ariba sap.com SAP Concur 5%, SAP Ariba 4% | 9% | 519 | 74,000 | 502 | 2,214,514 | $1,251 | 23 | |
| Payhawk payhawk.com | 5% | 115 | 2,400 | 27 | 5,824 | 21 | 3 | |
| Brex brex.com | 5% | 640 | 60,500 | 1,190 | 328,914 | $12,238 | 81 | 1 |
| BILL bill.com BILL Spend & Expense 4% | 4% | 342 | 2,740,000 | 1,063,001 | 1,783,039 company | $199,231 | 119 | 7 |
| Ivalua ivalua.com | 2% | 258 | 3,600 | 87 | 35,515 | 80 | ||
| Emburse emburse.com | 2% | 84 | 18,100 | 242 | 40,700 | $266 | 51 | |
| Rho rho.co | 2% | 90 | 74,000 | 7,366 | 182,562 | $416 | 2 | |
| SpendHound spendhound.com | 2% | 2 | 880 | 5 | 5,468 | 11 |
Google's top ten for the three searches hold 14 sites; 5 of them are among the sites the models cited here (bill.com, brex.com, g2.com, ramp.com, spendesk.com). The first result for “best spend management 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 spend management platform for an enterprise B2B company?”Paraphrase“Which all-in-one spend control software would you recommend to a large B2B company with thousands of employees?”Comparative“What are the top enterprise-grade spend management platforms and how do they differ?”Budget-constrained“What is the best spend management 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 spend management platform. What should we look at?”Negative“Which spend management platforms should a large enterprise avoid or be cautious about?”
Claude Haiku 4.5CoupaCoupaHeldCoupaCoupano first choiceagainst: Coupa, Expensify, SAP Ariba
Four alternatives
Airbase, Brex, Ramp, SAP AribaThree alternatives
Brex, SAP Concur, SpendeskFour alternatives
Brex, Navan, Ramp, SAP ConcurThree alternatives
Brex, Ramp, SAP ConcurGPT-5.4 miniCoupaPayhawk, RampChangedCoupaSpendHoundagainst: BILL Spend & Expense, Emburse, Sage Expense Managementno first choiceagainst: Expensify, SAP Concur, Spendflo
Three alternatives
GEP SMART, Ramp, ZycusOne alternative
AirbaseSix alternatives
GEP SMART, Ivalua, Jaggaer, Oracle Fusion Cloud Procurement, SAP Ariba, SAP ConcurThree alternatives
Airbase, Brex, ServiceNow-based procurement stacksGemini 3.5 FlashCoupaBrexChangedCoupaBILL Spend & Expense, Rhoagainst: Expensify, SAP Concurno first choiceagainst: Coupa, SAP Concuragainst: Brex, Expensify, Ramp, SAP Concur
Seven alternatives
Airbase, Brex, Navan, Ramp, SAP Ariba, SAP Concur, SpendfloThree alternatives
Coupa, Navan, RampFive alternatives
Brex, Navan, Paylocity for Finance, Ramp, SAP ConcurThree alternatives
Brex, Ramp, SpendeskFour alternatives
Brex, Ramp, Tonkean, ZipPerplexity SonarCoupaagainst: BILL Spend & Expense, Brex, Navan, Payhawk, RampCoupaHeldagainst: RampCoupaSAP Concurno first choiceagainst: Brex, Coupa, Fraxion, Pleo, Ramp, Spendesk
Two alternatives
Eco, SAP AribaThree alternatives
Emburse, Payhawk, SAP ConcurNine alternatives
Brex, Eco, Emburse, Ivalua, Payhawk, Ramp, SAP Ariba, SAP Concur, TipaltiOne alternative
CoupaGrok 4.1 FastCoupa, IvaluaCoupaChangedagainst: Airbase, Ramp, SpendeskCoupaagainst: Brex, Emburse, Navan, SpendeskCoupaagainst: BILL Spend & Expense, Rampno first choiceagainst: Airbase, Brex, Coupa, Expensify, Pleo, Ramp, SAP Ariba, Spendesk, Workday Adaptive Planning
Four alternatives
Jaggaer, Oracle Fusion Cloud Procurement, SAP Ariba, ZycusThree alternatives
GEP SMART, Ivalua, SAP AribaFive alternatives
GEP SMART, Ivalua, Jaggaer, Oracle Fusion Cloud Procurement, SAP AribaThree alternatives
Airbase, Payhawk, SAP ConcurFive alternatives
Payhawk, Ramp, SAP Ariba, Spendesk, ZyloMistral SmallCoupaCoupaHeldCoupaagainst: Brex, PayEm, Spendesk, SpendfloBrex, Rampagainst: Coupano first choiceagainst: BILL Spend & Expense, Brex, Rippling Spend
Two alternatives
BILL Spend & Expense, EcoFour alternatives
Brex, Payhawk, Ramp, SAP ConcurFour alternatives
GEP SMART, Ivalua, Jaggaer, SAP AribaDeepSeek V4 FlashCoupaagainst: BILL Spend & Expense, Brex, Payhawk, RampCoupaHeldCoupaRampagainst: Coupa, SAP Concurno first choiceagainst: Brex, Coupa, Expensify, Jaggaer, Oracle Fusion Cloud Procurement, Procurify, Ramp, SAP Ariba, SAP Concur
Four alternatives
GEP SMART, Ivalua, SAP Ariba, ZipTwo alternatives
Emburse, SAP ConcurNine alternatives
Airbase, Brex, GEP SMART, Ivalua, Jaggaer, Navan, Ramp, SAP Ariba, SAP ConcurOne alternative
BrexLlama 4 MaverickCoupaBrexChangedno first choiceno first choiceCoupaagainst: Airbase, Brex, Moss, Payhawk, Pleo, Procurify, Ramp, Soldo, Spendesk
Three alternatives
BILL Spend & Expense, Eco, RampThree alternatives
Navan, Ramp, SpendeskThree alternatives
Ramp, SAP Concur, SpendfloQwen 3.7 FlashCoupa, RampCoupaChangedCoupa, SAP AribaBILL Spend & Expense, Rampno first choiceagainst: Coupa, Oracle Fusion Cloud Procurement, SAP Ariba, SAP Concur, Workday Extend
Three alternatives
Airbase, BILL Spend & Expense, BrexThree alternatives
SAP Ariba, SAP Concur, SpendeskFour alternatives
Airbase, Esker, Ivalua, SpendeskTwo alternatives
Brex, CoupaKimi K2Coupaagainst: Brex, Payhawk, RampEmburse, SAP ConcurChangedagainst: Airbase, RampCoupa, SAP AribaCoupa, Payhawkagainst: BILL Spend & Expense, Brex, Navan, Ramp, SAP Ariba, SAP ConcurCoupa, SAP Aribaagainst: Airbaseagainst: Coupa, SAP Ariba, Tradeshift
Two alternatives
Ivalua, SAP AribaOne alternative
CoupaFive alternatives
Airbase, Brex, Oracle Fusion Cloud Procurement, Ramp, SAP ConcurOne alternative
AirbaseTwo alternatives
Brex, RampGLM 4.7 FlashXCoupaRampChangedCoupa, SAP AribaCoupaagainst: SAP Aribano first choiceagainst: Brex, Coupa, Expensify, Procurify, Ramp, SAP Concur, Zoho Expense
Five alternatives
Brex Procurement, GEP SMART, Ivalua, Oracle Fusion Cloud Procurement, SAP AribaThree alternatives
Brex, Coupa, SAP ConcurSix alternatives
Airwallex, Brex, Emburse, Payhawk, Procurify, RampMiniMax M2.5CoupaCoupaHeldCoupaSpendeskagainst: Brex, Expensify, Ramp, Zoho ExpenseCoupanothing named
Four alternatives
Ramp, SAP Ariba, Workday, ZyloThree alternatives
Brex, Ramp, SAP AribaFive alternatives
Ivalua, Oracle Fusion Cloud Procurement, SAP Ariba, SAP Concur, Workday ProcurementThree alternatives
Coupa, SAP Concur, SutiExpenseThree alternatives
Navan, Ramp, SAP AribaGPT-6 LunaCoupa, SAP AribaCoupaChangedno first choiceagainst: ZipCoupaagainst: Rampno first choiceagainst: Airbase, Brex, Coupa, Oracle procurement suites, Ramp, SAP Ariba
One alternative
RampTwo alternatives
Ramp, SAP ConcurSix alternatives
Coupa, GEP SMART, Ivalua, Jaggaer, Oracle Fusion Cloud Procurement, SAP AribaOne alternative
SAP ConcurMuse Glimmer 30BCoupaagainst: Airbase, Brex, RampCoupa, SAP ConcurChangedCoupaPayhawkagainst: Brex, Expensify, Ramp, Zohono first choiceagainst: Airbase, BILL Spend & Expense, Brex, Payhawk, Procurify, Ramp, Spendesk, Zip
Two alternatives
Eco, SAP AribaTwo alternatives
Brex, RampThree alternatives
Oracle Fusion Cloud Procurement, SAP Ariba, Workday ProcurementOne alternative
SpendeskBold 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 11:02 | yes | 16 | 9 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 07:44 | yes | 3 | 4 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 11:01 | yes | 16 | 27 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-10-01 10:51 | yes | 20 | 3 s |
| Direct recommendation | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 08:33 | yes | 24 | 9 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 10:16 | yes | 5 | 3 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 08:02 | yes | 22 | 25 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 10:09 | yes | 5 | 2 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 10:41 | yes | 9 | 18 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 08:22 | yes | 20 | 26 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 10:49 | yes | 24 | 38 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 10:33 | yes | 15 | 25 s |
| Direct recommendation | GPT-6 Luna | gpt-6-luna | 2026-10-01 10:27 | yes | 3 | 21 s |
| Direct recommendation | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 11:06 | yes | 13 | 15 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 08:45 | yes | 18 | 9 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 09:23 | yes | 3 | 5 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 09:09 | yes | 17 | 29 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-10-01 10:47 | yes | 19 | 4 s |
| Paraphrase | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 09:02 | yes | 24 | 9 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 09:10 | yes | 5 | 6 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 09:06 | yes | 21 | 31 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 07:40 | yes | 5 | 2 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 09:49 | yes | 9 | 38 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 08:35 | yes | 15 | 31 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 11:13 | yes | 17 | 46 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 11:25 | yes | 13 | 40 s |
| Paraphrase | GPT-6 Luna | gpt-6-luna | 2026-10-01 09:05 | yes | 4 | 20 s |
| Paraphrase | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 07:47 | yes | 14 | 18 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 10:13 | yes | 15 | 12 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 09:00 | yes | 3 | 11 s |
| Comparative | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 09:21 | yes | 22 | 33 s |
| Comparative | Perplexity Sonar | sonar | 2026-10-01 10:17 | yes | 19 | 5 s |
| Comparative | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 07:53 | yes | 22 | 11 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 07:42 | yes | 25 | 13 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 11:06 | yes | 25 | 52 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 11:09 | yes | 5 | 2 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 11:15 | yes | 10 | 19 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 11:21 | yes | 20 | 26 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 11:21 | yes | 22 | 33 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 10:12 | yes | 15 | 25 s |
| Comparative | GPT-6 Luna | gpt-6-luna | 2026-10-01 09:27 | yes | 8 | 32 s |
| Comparative | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 07:57 | yes | 24 | 59 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 09:14 | yes | 9 | 9 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 07:54 | yes | 4 | 6 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 10:04 | yes | 18 | 28 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-10-01 10:44 | yes | 20 | 4 s |
| Budget constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 09:47 | yes | 21 | 8 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 08:56 | yes | 22 | 9 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 08:11 | yes | 25 | 30 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 08:52 | yes | 5 | 2 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 08:46 | no | 0 | 27 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 10:48 | yes | 18 | 45 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 11:06 | yes | 23 | 421 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 10:37 | yes | 22 | 44 s |
| Budget constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 10:35 | yes | 3 | 19 s |
| Budget constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 11:17 | yes | 22 | 32 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 11:01 | yes | 19 | 12 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 10:25 | yes | 4 | 9 s |
| Scale constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 09:34 | yes | 10 | 21 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-10-01 10:58 | yes | 15 | 5 s |
| Scale constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 07:49 | yes | 19 | 8 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 10:00 | no | 0 | 10 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 08:38 | yes | 21 | 49 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 11:07 | yes | 5 | 5 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 09:18 | yes | 10 | 55 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 10:53 | yes | 24 | 38 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 09:49 | yes | 13 | 63 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 08:29 | yes | 15 | 25 s |
| Scale constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 07:50 | yes | 5 | 34 s |
| Scale constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 08:42 | yes | 12 | 56 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 07:45 | yes | 18 | 10 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 10:19 | yes | 4 | 5 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 11:22 | yes | 19 | 23 s |
| Negative framing | Perplexity Sonar | sonar | 2026-10-01 07:31 | yes | 18 | 3 s |
| Negative framing | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 10:00 | yes | 21 | 9 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 09:49 | yes | 5 | 3 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 08:51 | yes | 25 | 45 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 11:01 | yes | 5 | 3 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 09:46 | yes | 23 | 56 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 10:25 | yes | 25 | 28 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 07:47 | yes | 18 | 25 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 07:50 | yes | 23 | 44 s |
| Negative framing | GPT-6 Luna | gpt-6-luna | 2026-10-01 08:03 | yes | 3 | 29 s |
| Negative framing | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 08:30 | yes | 23 | 40 s |
Normalization in this category
Every judgment call made between the raw labels and the numbers above, listed so it is visible and reversible.
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Category-scoped readings
BILL read as BILL Spend & Expense
Bill.com read as BILL Spend & Expense
Divvy (now part of Vyta) read as BILL Spend & Expense
GEP read as GEP SMART
Oracle Procurement Cloud read as Oracle Fusion Cloud Procurement
Oracle Procurement Cloud (Oracle NetSuite) read as Oracle Fusion Cloud Procurement
Oracle Procurement Cloud (part of Fusion) read as Oracle Fusion Cloud Procurement
Unresolved, counted raw
ISPnext
Oracle E-Business Suite iProcurement
Oracle Fusion Procurement
Oracle procurement suites
SAP-oriented suites
ServiceNow-based procurement stacks
SpendHQ
Workday Extend
Workday Procurement
Discontinued, still offered
No shut-down product was recommended here.