Index › Finance › Spend and procurement › Spend management platfor › Enterprise · November 2026 Edition
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. 52 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each.
Standing · first-choice share
60%
Clear leader
60Coupa12SAP Ariba08SAP Concur21others
60% of first choices, clear leader.
Since October 2026▲+4Since October 2026: 56% → 60%, +4 points. Inside the 10-point floor: within noise.Coupa held the lead, +4 points on 56%, 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
Ramp55%Clear leader▼−3Since October 2026: 58% → 55%, −3 points. Inside the 10-point floor: within noise.Standing →Mid-marketRamp45%Clear leader▲+1Since October 2026: 44% → 45%, +1 point. Inside the 10-point floor: within noise.Standing →Enterprise
Coupa60%Clear leader▲+4Since October 2026: 56% → 60%, +4 points. Inside the 10-point floor: within noise.This page
Ramp55%Clear leader▼−3Since October 2026: 58% → 55%, −3 points. Inside the 10-point floor: within noise.Standing →Mid-marketRamp45%Clear leader▲+1Since October 2026: 44% → 45%, +1 point. Inside the 10-point floor: within noise.Standing →EnterpriseCoupa60%Clear leader▲+4Since October 2026: 56% → 60%, +4 points. Inside the 10-point floor: within noise.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 October 2026
01Coupa60%19%69endorsed leader▲+4Since October 2026: 56% → 60%, +4 points. Inside the 10-point floor: within noise.56% → 60%
Coupa60%19%69endorsed leader▲+4Since October 2026: 56% → 60%, +4 points. Inside the 10-point floor: within noise.56% → 60%02
SAP Ariba12%19%47accepted challenger▲+8Since October 2026: 4% → 12%, +8 points. Inside the 10-point floor: within noise.4% → 12%
SAP Ariba12%19%47accepted challenger▲+8Since October 2026: 4% → 12%, +8 points. Inside the 10-point floor: within noise.4% → 12%03
SAP Concur8%22%37accepted challenger▲+3Since October 2026: 5% → 8%, +3 points. Inside the 10-point floor: within noise.5% → 8%
SAP Concur8%22%37accepted challenger▲+3Since October 2026: 5% → 8%, +3 points. Inside the 10-point floor: within noise.5% → 8%04
Ivalua4%9%32accepted challenger▲+2Since October 2026: 2% → 4%, +2 points. Inside the 10-point floor: within noise.2% → 4%
Ivalua4%9%32accepted challenger▲+2Since October 2026: 2% → 4%, +2 points. Inside the 10-point floor: within noise.2% → 4%05
Payhawk4%7%15accepted challenger▼−1Since October 2026: 5% → 4%, −1 point. Inside the 10-point floor: within noise.5% → 4%
Payhawk4%7%15accepted challenger▼−1Since October 2026: 5% → 4%, −1 point. Inside the 10-point floor: within noise.5% → 4%06Ramp4%34%53criticized challenger▼−7Since October 2026: 11% → 4%, −7 points. Inside the 10-point floor: within noise.11% → 4%
Ramp4%34%53criticized challenger▼−7Since October 2026: 11% → 4%, −7 points. Inside the 10-point floor: within noise.11% → 4%07
Oracle Fusion Cloud Procurement2%12%17accepted challenger▲+2Since October 2026: 0% → 2%, +2 points. Inside the 10-point floor: within noise.0% → 2%
Oracle Fusion Cloud Procurement2%12%17accepted challenger▲+2Since October 2026: 0% → 2%, +2 points. Inside the 10-point floor: within noise.0% → 2%08
Zip2%7%15accepted challenger▲+2Since October 2026: 0% → 2%, +2 points. Inside the 10-point floor: within noise.0% → 2%
Zip2%7%15accepted challenger▲+2Since October 2026: 0% → 2%, +2 points. Inside the 10-point floor: within noise.0% → 2%09
Airbase2%23%22accepted challenger▲+2Since October 2026: 0% → 2%, +2 points. Inside the 10-point floor: within noise.0% → 2%
Airbase2%23%22accepted challenger▲+2Since October 2026: 0% → 2%, +2 points. Inside the 10-point floor: within noise.0% → 2%10
Expensify2%60%10criticized challenger▲+2Since October 2026: 0% → 2%, +2 points. Inside the 10-point floor: within noise.0% → 2%
Expensify2%60%10criticized challenger▲+2Since October 2026: 0% → 2%, +2 points. Inside the 10-point floor: within noise.0% → 2%Show the eight products at 0%, ordered by negative rate
18
Spendesk0%70%10criticized challenger▼−2Since October 2026: 2% → 0%, −2 points. Inside the 10-point floor: within noise.2% → 0%
Spendesk0%70%10criticized challenger▼−2Since October 2026: 2% → 0%, −2 points. Inside the 10-point floor: within noise.2% → 0%17
BILL Spend & Expense0%58%19criticized challenger▼−4Since October 2026: 4% → 0%, −4 points. Inside the 10-point floor: within noise.4% → 0%
BILL Spend & Expense0%58%19criticized challenger▼−4Since October 2026: 4% → 0%, −4 points. Inside the 10-point floor: within noise.4% → 0%14
Brex0%41%44criticized challenger▼−5Since October 2026: 5% → 0%, −5 points. Inside the 10-point floor: within noise.5% → 0%
Brex0%41%44criticized challenger▼−5Since October 2026: 5% → 0%, −5 points. Inside the 10-point floor: within noise.5% → 0%15
Precoro0%33%12criticized challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise.0% → 0%
Precoro0%33%12criticized challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise.0% → 0%16
Procurify0%33%12criticized challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise.0% → 0%
Procurify0%33%12criticized challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise.0% → 0%12
Navan0%23%22accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise.0% → 0%
Navan0%23%22accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise.0% → 0%13
Jaggaer0%15%13accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise.0% → 0%
Jaggaer0%15%13accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise.0% → 0%11
GEP SMART0%0%13accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise.0% → 0%
GEP SMART0%0%13accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise.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 can't be told apart from repeat variation, and both are shown. Each index measures its own floor from its own repeat, over its own categories, so the floor differs from one index to the next. Both editions asked the same fourteen models. How the floor is measured
Bars are the share of first choices, 0 to 100Every product with at least 10 labels here. Every product name links to its product page.
For buyers
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
Ramp vs BrexRamp vs SpendeskRamp vs Zoho ExpenseRamp vs ExpensifyBILL Spend & Expense vs AirbaseBILL Spend & Expense vs ProcurifyBILL Spend & Expense vs BrexBILL Spend & Expense vs SpendeskBILL Spend & Expense vs Zoho ExpenseBILL Spend & Expense vs ExpensifyAirbase vs ProcurifyAirbase vs BrexAirbase vs SpendeskAirbase vs Zoho ExpenseAirbase vs ExpensifyProcurify vs BrexProcurify vs SpendeskProcurify vs Zoho ExpenseProcurify vs ExpensifyBrex vs SpendeskBrex vs Zoho ExpenseBrex vs ExpensifySpendesk vs Zoho ExpenseSpendesk vs ExpensifyZoho Expense vs Expensify
One product takes 60% of first choices here, so the chart would put seventeen 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. Seven products carry a negative rate above 25% in this category.
What they warned about
Seven of fourteen models held their first choice under the paraphrase. Mistral Small, DeepSeek V4 Flash, Llama 4 Maverick, Kimi K2, GLM 4.7 FlashX, MiniMax M2.5 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.
Ramp34%
18 of 53 labels negative · 11 of 14 models · 6 hard negative
“large enterprises are generally advised to be cautious about Ramp, Brex, Spendesk and similar interchange-funded card-led platforms” Muse Glimmer 30B, negative prompt
Brex41%
18 of 44 labels negative · 11 of 14 models · 4 hard negative
“Free platforms (like Ramp, Brex, Bill) that aren't actually free ... wrong for large contracted spend” Kimi K2, negative prompt
BILL Spend & Expense58%
11 of 19 labels negative · 9 of 14 models · 4 hard negative
“Free platforms (like Ramp, Brex, Bill) that aren't actually free ... wrong for large contracted spend” Kimi K2, negative prompt
Coupa19%
13 of 69 labels negative · 8 of 14 models · 1 hard negative
“Verdict: Avoid unless you have specialized procurement engineers on staff” DeepSeek V4 Flash, negative prompt
What they cite
Fourteen of the fourteen models returned a source list in this edition: five return the pages they cited and nine the search results they consulted.
Sites the answers cite
77 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. 967 links across 230 sites, every framing counted. Ranked by the number of answers carrying the site or page. 21 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.
47 answers · 81 citations · 10 models
vendor site · Zylo28 answers · 29 citations · 11 models
vendor site · G226 answers · 53 citations · 11 models
23 answers · 29 citations · 8 models
vendor site · Ramp22 answers · 29 citations · 10 models
vendor site · Emburse20 answers · 23 citations · 10 models
vendor site · ExpenseAnywhere20 answers · 21 citations · 10 models
vendor site · Precoro19 answers · 20 citations · 9 models
vendor site · Jaggaer17 answers · 27 citations · 9 models
vendor site · Ivalua15 answers · 27 citations · 10 models
vendor site · Spendesk15 answers · 16 citations · 9 models
vendor site · Suplari15 answers · 16 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.
47 answers · 10 models
26 answers · 10 models
22 answers · 8 models
20 answers · 10 models
15 answers · 8 models
14 answers · 8 models
14 answers · 8 models
11 answers · 6 models
10 answers · 9 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 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 | 60% | 637 | 60,500 | 1,210 | 41,319 | $339 | 91 | |
| SAP Ariba sap.com SAP Ariba 12%, SAP Concur 8% | 19% | 553 | 74,000 | 502 | 2,214,514 | $1,251 | 23 | |
| Ivalua ivalua.com | 4% | 313 | 3,600 | 87 | 35,515 | 80 | ||
| Payhawk payhawk.com | 4% | 106 | 2,400 | 27 | 5,824 | 21 | 3 | |
| Ramp ramp.com | 4% | 916 | 246,000 | 49,733 | 770,056 | $13,511 | 120 | 3 |
| 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 | ||
| Airbase airbase.com | 2% | 142 | 14,800 | 577 | 5,429 | |||
| Amex Corporate™ | 2% | |||||||
| Expensify expensify.com | 2% | 246 | 74,000 | 932 | 76,291 | 0 | 1 |
Google's top ten for the three searches hold 14 sites; 3 of them are among the sites the models cited here (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 4.5CoupaCoupaHeldCoupa, RampCoupano first choiceagainst: BILL Spend & Expense, Brex, Coupa, SAP Concur, Spendesk
Two alternatives
Brex, RampThree alternatives
Airbase, Payhawk, RampSix alternatives
Airbase, Brex, Payhawk, Procurify, SAP Concur, SpendfloTwo alternatives
Payhawk, SAP ConcurGPT-5.4 miniCoupaCoupaHeldCoupaAirbase, Coupano first choicenothing named
Three alternatives
Brex, Ramp, SAP ConcurThree alternatives
Brex, Payhawk, SAP ConcurFive alternatives
Emburse, Oracle Fusion Cloud Procurement, SAP Ariba, SAP Concur, TipaltiTwo alternatives
BILL Spend & Expense, SAP ConcurGemini 3.5 FlashCoupaCoupaHeldCoupaagainst: Brex, RampRampagainst: Expensify, SAP ConcurZipagainst: Airbase, Brex, Rampagainst: Airbase, BILL Spend & Expense, Brex, Expensify, Ramp, SAP Concur, Spendesk, Wave, Zoho Expense
Five alternatives
Brex, Navan, Ramp, SAP Ariba, ZipFour alternatives
Brex for Enterprise, SAP Ariba, SAP Concur, ZipFive alternatives
GEP SMART, Ivalua, Jaggaer, SAP Ariba, ZipThree alternatives
Brex, Coupa, NavanThree alternatives
Coupa, SAP Ariba, TonkeanPerplexity SonarCoupaCoupaHeldagainst: Airbase, Brex, RampCoupaSAP Concurno first choiceagainst: Airbase, BILL Spend & Expense, Brex, Coupa, Expensify, Navan, Pleo, Ramp, SAP Concur, Spendesk
Four alternatives
Brex, Ivalua, Ramp, SAP AribaThree alternatives
Ivalua, SAP Ariba, SAP ConcurSeven alternatives
Brex, Emburse, Ivalua, Payhawk, Ramp, SAP Ariba, SAP ConcurOne alternative
CoupaGrok 4.20Coupaagainst: Precoro, Procurify, SAP ConcurCoupaHeldCoupaagainst: Precoro, ProcurifyIvaluaagainst: Brex, Precoro, Procurify, Ramp, Spendeskno first choiceagainst: Rampagainst: AppZen, Coupa, Emburse, Expensify, Ivalua, Jaggaer, Oracle Fusion Cloud Procurement, Precoro, Procurify, SAP Ariba, SAP Concur, Workday Procurement (P2P) and Expense Management
Four alternatives
GEP SMART, Ivalua, Jaggaer, SAP AribaFour alternatives
Brex, Ramp, SAP Ariba, SAP ConcurSeven alternatives
Airbase, BILL Spend & Expense, Brex, Ivalua, Ramp, SAP Ariba, SAP ConcurFour alternatives
Coupa, ExpenseAnywhere, Payhawk, SAP AribaMistral SmallCoupaCoupa, SAP AribaChangedCoupa, IvaluaCoupa, SAP Concuragainst: Emburse, Fieldglassno first choiceagainst: Brex, Ramp, SAP Ariba
Four alternatives
Airbase, Navan, Ramp, SAP AribaThree alternatives
ExpenseAnywhere, Navan, SAP ConcurThree alternatives
Oracle Fusion Cloud Procurement, SAP Ariba, Workday Strategic SourcingDeepSeek V4 FlashCoupa, SAP Aribaagainst: RampCoupaChangedagainst: BrexCoupaPayhawkagainst: BILL Spend & Expense, Brex, Coupa, Rampno first choiceagainst: BILL Spend & Expense, Brex, Coupa, Navan, Payhawk, Qonto, Ramp, SAP Ariba
Two alternatives
Ivalua, Oracle Fusion Cloud ProcurementThree alternatives
Payhawk, Ramp, SAP AribaSeven alternatives
Airbase, Brex, Ivalua, Oracle Fusion Cloud Procurement, Ramp, SAP Ariba, SAP ConcurOne alternative
SAP ConcurLlama 4 MaverickCoupaCoupa, SAP ConcurChangedno first choiceno first choiceno first choicenothing named
Three alternatives
Ivalua, Ramp, SAP AribaFour alternatives
Brex, ExpenseAnywhere, Navan, RampQwen 3.7 FlashCoupaCoupaHeldCoupaExpensifyagainst: Coupa, SAP Concurno first choiceagainst: BILL Spend & Expense, Navan, Ramp, Spendesk
Four alternatives
Airbase, Brex, Ramp, SAP AribaTwo alternatives
Ramp, SAP ConcurTwo alternatives
Ivalua, SAP AribaFour alternatives
BILL Spend & Expense, Navan, Ramp, SAP AribaKimi K2Coupa, SAP AribaCoupaChangedagainst: Brex, RampSAP ConcurAmex Corporate™against: BILL Spend & Expense, Brex, Coupa, Emburse, SAP Ariba, SAP Concurno first choiceagainst: Coupa, Ivalua, SAP Aribaagainst: BILL Spend & Expense, Brex, Coupa, Ivalua, Jaggaer, Oracle Fusion Cloud Procurement, Ramp, SAP Ariba
Three alternatives
GEP SMART, Ivalua, Oracle Fusion Cloud ProcurementThree alternatives
Navan, SAP Ariba, SAP ConcurSix alternatives
Airbase, Brex, Coupa, Ivalua, Ramp, SAP AribaThree alternatives
Ivalua, Mercury, RampFive alternatives
Navan, Payhawk, Precoro, Procurify, RampGLM 4.7 FlashXCoupaCoupa, SAP AribaChangedCoupaRampagainst: Coupa, SAP Aribano first choiceagainst: Brex, Coupa, Expensify, Navan, Ramp, Spendesk, Zip
Two alternatives
Ivalua, SAP AribaTwo alternatives
Ivalua, Oracle Fusion Cloud ProcurementSeven alternatives
Brex, GEP SMART, Ivalua, Jaggaer, Ramp, SAP Ariba, SpenditThree alternatives
BILL Spend & Expense, Precoro, ProcurifyMiniMax M2.5Coupa, SAP AribaCoupaChangedCoupaIvalua, Oracle Fusion Cloud Procurementagainst: Coupa, SAP Aribano first choiceagainst: BILL Spend & Expense, Brex, Coupa, Navan, Ramp, SAP Ariba
Four alternatives
GEP SMART, Ivalua, Jaggaer, ZipFive alternatives
BILL Spend & Expense, Brex, Expensify, Ivalua, RampFour alternatives
Ivalua, Jaggaer, Oracle Fusion Cloud Procurement, SAP AribaOne alternative
GEP SMARTGPT-6 LunaCoupaCoupaHeldCoupa, SAP AribaSAP Concurno first choiceagainst: Airbase, BILL Spend & Expense, Brex, Expensify, Ramp
Three alternatives
Ramp, SAP, ZipThree alternatives
Ramp, SAP Ariba, SAP ConcurFive alternatives
GEP Quantum Intelligence, Ivalua, Jaggaer, Oracle Fusion Cloud Procurement, ZipOne alternative
RampMuse Glimmer 30BCoupa, SAP AribaCoupaChangedCoupaPayhawkno first choiceagainst: BILL Spend & Expense, Brex, Ramp, Spendesk
Three alternatives
Ivalua, Oracle Fusion Cloud Procurement, Workday Strategic ProcurementTwo alternatives
SAP Ariba, Workday Strategic ProcurementThree alternatives
Ivalua, Oracle Fusion Cloud Procurement, SAP Ariba / SAP Business NetworkFour alternatives
Coupa, Navan, Ramp, SAP ConcurBold is the first choiceAlternatives are counted; the count opens them.What the answer argued against
The record
One row per call: the version string exactly as returned, whether the model searched, sources cited, and latency.
Eighty-four rows: every prompt, every model, every answer.
| Prompt | Model | Version string | Time (UTC) | Searched | Sources | Latency |
|---|---|---|---|---|---|---|
| Direct recommendation | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 09:53 | yes | 10 | 7 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 11:02 | yes | 3 | 4 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 09:10 | yes | 15 | 22 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-11-01 12:38 | yes | 10 | 4 s |
| Direct recommendation | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 13:31 | yes | 15 | 76 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 12:09 | yes | 5 | 4 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 10:45 | yes | 24 | 22 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 12:23 | yes | 5 | 2 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 10:25 | yes | 5 | 24 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 10:47 | yes | 10 | 20 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 12:48 | yes | 24 | 110 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 10:42 | yes | 15 | 102 s |
| Direct recommendation | GPT-6 Luna | gpt-6-luna | 2026-11-01 10:12 | yes | 4 | 18 s |
| Direct recommendation | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 08:44 | yes | 14 | 19 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 08:45 | yes | 10 | 8 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 10:41 | yes | 4 | 5 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 09:46 | no | 0 | 14 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-11-01 09:10 | yes | 10 | 4 s |
| Paraphrase | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 13:15 | yes | 15 | 31 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 12:17 | yes | 5 | 6 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 08:54 | yes | 20 | 29 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 12:32 | yes | 5 | 2 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 12:00 | no | 0 | 24 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 11:06 | yes | 20 | 51 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 08:50 | yes | 20 | 122 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 12:03 | yes | 10 | 43 s |
| Paraphrase | GPT-6 Luna | gpt-6-luna | 2026-11-01 12:30 | yes | 4 | 16 s |
| Paraphrase | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 11:14 | yes | 14 | 21 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 11:07 | yes | 10 | 8 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 10:45 | yes | 6 | 9 s |
| Comparative | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 09:59 | yes | 14 | 23 s |
| Comparative | Perplexity Sonar | sonar | 2026-11-01 12:35 | yes | 10 | 6 s |
| Comparative | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 13:06 | yes | 5 | 40 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 09:25 | yes | 22 | 17 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 11:47 | yes | 22 | 34 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 08:38 | yes | 5 | 4 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 10:50 | yes | 10 | 26 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 10:24 | yes | 25 | 35 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 11:49 | yes | 25 | 140 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 11:41 | yes | 25 | 92 s |
| Comparative | GPT-6 Luna | gpt-6-luna | 2026-11-01 08:49 | yes | 8 | 28 s |
| Comparative | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 08:43 | yes | 13 | 32 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 10:04 | yes | 9 | 7 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 10:42 | yes | 2 | 6 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 09:19 | yes | 11 | 27 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-11-01 11:11 | yes | 10 | 3 s |
| Budget constrained | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 13:29 | yes | 13 | 34 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 12:08 | yes | 5 | 4 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 12:48 | yes | 23 | 26 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 10:40 | yes | 5 | 3 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 10:55 | yes | 22 | 113 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 11:27 | yes | 23 | 30 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 13:00 | yes | 22 | 35 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 10:44 | yes | 18 | 51 s |
| Budget constrained | GPT-6 Luna | gpt-6-luna | 2026-11-01 11:12 | yes | 2 | 16 s |
| Budget constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 10:50 | yes | 13 | 25 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 11:15 | yes | 19 | 14 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 10:37 | no | 0 | 7 s |
| Scale constrained | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 10:41 | no | 0 | 17 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-11-01 12:57 | yes | 10 | 9 s |
| Scale constrained | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 13:07 | yes | 5 | 27 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 08:46 | no | 0 | 8 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 10:30 | yes | 24 | 27 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 11:07 | yes | 5 | 2 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 12:52 | no | 0 | 33 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 09:17 | yes | 23 | 99 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 12:02 | yes | 13 | 22 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 09:06 | no | 0 | 22 s |
| Scale constrained | GPT-6 Luna | gpt-6-luna | 2026-11-01 12:34 | yes | 3 | 18 s |
| Scale constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 11:32 | yes | 14 | 20 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 12:32 | yes | 19 | 9 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 11:10 | yes | 5 | 5 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 10:58 | yes | 4 | 22 s |
| Negative framing | Perplexity Sonar | sonar | 2026-11-01 10:31 | yes | 10 | 5 s |
| Negative framing | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 13:31 | yes | 14 | 43 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 12:47 | yes | 5 | 5 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 10:16 | yes | 25 | 39 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 12:59 | yes | 5 | 3 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 11:05 | yes | 5 | 32 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 10:58 | yes | 25 | 27 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 10:30 | yes | 24 | 40 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 10:20 | yes | 19 | 99 s |
| Negative framing | GPT-6 Luna | gpt-6-luna | 2026-11-01 10:27 | yes | 4 | 26 s |
| Negative framing | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 10:04 | yes | 13 | 20 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 read as BILL Spend & Expense
Bill.com read as BILL Spend & Expense
Bill.com (BILL Spend & Expense) read as BILL Spend & Expense
GEP read as GEP SMART
GEP (GEP Works) read as GEP SMART
Oracle read as Oracle Fusion Cloud Procurement
Oracle Fusion read as Oracle Fusion Cloud Procurement
Oracle Procurement Cloud read as Oracle Fusion Cloud Procurement
Rippling read as Rippling Spend
Workday read as Workday Strategic Procurement
Workday Spend Management read as Workday Strategic Procurement
Unresolved, counted raw
Amex Corporate™
Brevan Howard / Procurify
Brex for Enterprise
CostAnalyst
Oracle Fusion Cloud Expense Management
Spendit
Workday Procurement
Workday Procurement (P2P) and Expense Management
Discontinued, still offered
No shut-down product was recommended here.