Strategic sourcing for enterprise buyers
Asked as “strategic sourcing software”, and as “e-sourcing and RFP tool”, 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
31Coupa31SAP Ariba25Ivalua13others
31% of first choices, contested.
Since October 2026↗new leaderNew leader since October 2026: Coupa (31%) replaces SAP Ariba (36% then, 31% now), 0 points clear, inside the 10-point floor.Coupa leads at 31%, replacing SAP Ariba, which led at 36% and stands at 31% now: 0 points clear, inside the floor, so the swap reads as unsettled.
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
Prokuria17%Contested↗new leaderNew leader since October 2026: Prokuria (17%) replaces Tradogram (31% then, 8% now), 9 points clear, inside the 10-point floor.Standing →Mid-market
oboloo14%Contested▼−1Since October 2026: 15% → 14%, −1 point. Inside the 10-point floor: within noise.Standing →Enterprise
Coupa31%Contested↗new leaderNew leader since October 2026: Coupa (31%) replaces SAP Ariba (36% then, 31% now), 0 points clear, inside the 10-point floor.This page
Prokuria17%Contested↗new leaderNew leader since October 2026: Prokuria (17%) replaces Tradogram (31% then, 8% now), 9 points clear, inside the 10-point floor.Standing →Mid-marketoboloo14%Contested▼−1Since October 2026: 15% → 14%, −1 point. Inside the 10-point floor: within noise.Standing →EnterpriseCoupa31%Contested↗new leaderNew leader since October 2026: Coupa (31%) replaces SAP Ariba (36% then, 31% now), 0 points clear, inside the 10-point floor.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
01Coupa31%5%66endorsed leader▲+5Since October 2026: 26% → 31%, +5 points. Inside the 10-point floor: within noise.26% → 31%
Coupa31%5%66endorsed leader▲+5Since October 2026: 26% → 31%, +5 points. Inside the 10-point floor: within noise.26% → 31%02
SAP Ariba31%17%66endorsed leader▼−5Since October 2026: 36% → 31%, −5 points. Inside the 10-point floor: within noise.36% → 31%
SAP Ariba31%17%66endorsed leader▼−5Since October 2026: 36% → 31%, −5 points. Inside the 10-point floor: within noise.36% → 31%03
Ivalua25%2%60accepted challenger▲+4Since October 2026: 21% → 25%, +4 points. Inside the 10-point floor: within noise.21% → 25%
Ivalua25%2%60accepted challenger▲+4Since October 2026: 21% → 25%, +4 points. Inside the 10-point floor: within noise.21% → 25%04
GEP SMART6%5%42accepted challenger=heldSince October 2026: 6% → 6%, ±0 points. Inside the 10-point floor: within noise.6% → 6%
GEP SMART6%5%42accepted challenger=heldSince October 2026: 6% → 6%, ±0 points. Inside the 10-point floor: within noise.6% → 6%05
Jaggaer2%2%49accepted challenger=heldSince October 2026: 2% → 2%, ±0 points. Inside the 10-point floor: within noise.2% → 2%
Jaggaer2%2%49accepted challenger=heldSince October 2026: 2% → 2%, ±0 points. Inside the 10-point floor: within noise.2% → 2%Show the four products at 0%, ordered by negative rate
06
Keelvar0%11%18accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise.0% → 0%
Keelvar0%11%18accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise.0% → 0%07
Oracle Fusion Cloud Procurement0%0%15accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise.0% → 0%
Oracle Fusion Cloud Procurement0%0%15accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise.0% → 0%08
Zycus0%0%13accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise.0% → 0%
Zycus0%0%13accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise.0% → 0%09
Workday Strategic Sourcing0%0%11accepted challenger▼−2Since October 2026: 2% → 0%, −2 points. Inside the 10-point floor: within noise.2% → 0%
Workday Strategic Sourcing0%0%11accepted challenger▼−2Since October 2026: 2% → 0%, −2 points. Inside the 10-point floor: within noise.2% → 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
oboloo vs Procurifyoboloo vs Ivaluaoboloo vs Precorooboloo vs CoupaProkuria vs Market DojoProkuria vs GEP SMARTProkuria vs ProcurifyProkuria vs IvaluaProkuria vs PrecoroProkuria vs CoupaMarket Dojo vs GEP SMARTMarket Dojo vs ProcurifyMarket Dojo vs IvaluaMarket Dojo vs PrecoroMarket Dojo vs CoupaGEP SMART vs ProcurifyGEP SMART vs IvaluaGEP SMART vs PrecoroGEP SMART vs CoupaProcurify vs IvaluaProcurify vs PrecoroProcurify vs CoupaIvalua vs PrecoroIvalua vs CoupaPrecoro 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 →
010203040506070809Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative50%
Key
01Coupa31%
Coupa31%02SAP Ariba31%
SAP Ariba31%03Ivalua25%
Ivalua25%04GEP SMART6%
GEP SMART6%05Jaggaer2%
Jaggaer2%06Keelvar0%
Keelvar0%07Oracle Fusion Cloud Procurement0%
Oracle Fusion Cloud Procurement0%08Zycus0%
Zycus0%09Workday Strategic Sourcing0%
Workday Strategic Sourcing0%What they warned about
Six of fourteen models held their first choice under the paraphrase. Gemini 3.5 Flash, Mistral Small, DeepSeek V4 Flash, Llama 4 Maverick, Kimi K2, GLM 4.7 FlashX, MiniMax M2.5 and GPT-6 Luna 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 Ariba17%
11 of 66 labels negative · 8 of 14 models · 3 hard negative
“SAP Ariba is mentioned as a tool that has the highest TCO and most complex pricing, and is advised to be avoided for specific use cases” Llama 4 Maverick, negative prompt
Coupa5%
3 of 66 labels negative · 3 of 14 models
“End-to-end P2P + Sourcing suites. Strong compliance, deep ERP ties, but higher implementation cost and longer deployment cycles.” Gemini 3.5 Flash, scale prompt
Precoro50%
3 of 6 labels negative · 3 of 14 models
“Lightweight SMB procurement tools such as Procurify or Precoro can be poor fits when the enterprise needs complex multi-entity approvals” Perplexity Sonar, negative prompt
Procurify60%
3 of 5 labels negative · 3 of 14 models
“Lightweight SMB procurement tools such as Procurify or Precoro can be poor fits when the enterprise needs complex multi-entity approvals” Perplexity Sonar, 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
75 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. 925 links across 278 sites, every framing counted. Ranked by the number of answers carrying the site or page. 19 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 · G235 answers · 49 citations · 12 models
vendor site · Ivalua32 answers · 42 citations · 14 models
26 answers · 33 citations · 9 models
vendor site · Jaggaer25 answers · 69 citations · 10 models
vendor site · Guideflow25 answers · 36 citations · 9 models
vendor site · Sourceforge24 answers · 29 citations · 10 models
vendor site · GetApp16 answers · 21 citations · 10 models
16 answers · 16 citations · 8 models
16 answers · 16 citations · 9 models
14 answers · 14 citations · 9 models
11 answers · 11 citations · 7 models
11 answers · 11 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.
20 answers · 11 models
20 answers · 9 models
16 answers · 8 models
15 answers · 9 models
15 answers · 8 models
15 answers · 9 models
14 answers · 8 models
14 answers · 9 models
12 answers · 8 models
12 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 strategic sourcing software”, “sourcing tools”, “strategic sourcing software”. 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 | 31% | 637 | 60,500 | 1,210 | 41,319 | $339 | 91 | 2 |
| SAP Ariba sap.com | 31% | 553 | 8,100 | 554 | 2,214,514 | $1,251 | 23 | 6 |
| Ivalua ivalua.com | 25% | 313 | 3,600 | 87 | 35,515 | 80 | ||
| GEP gep.com GEP SMART 6%, GEP Quantum Intelligence 2% | 8% | 188 | 880 | 26 | 54,424 company | 51 | ||
| Jaggaer jaggaer.com | 2% | 231 | 5,400 | 218 | 21,919 | $82 | 9 | |
| Responsive responsive.io | 2% | 15 | 12,100 | 210,141 | 37,620 | 16 | ||
| Mindsprint ProcureSprint mindsprint.com | 2% | 20 | 154 | |||||
| Keelvar keelvar.com | 0% | 22 | 1,600 | 11 | 2,872 | 8 | ||
| Oracle Fusion oracle.com Oracle Fusion Cloud Procurement 0% | 0% | 155 | 170 | 2 | 7,410,638 company | $247 | 101 | |
| Zycus zycus.com | 0% | 36 | 2,400 | 49 | 23,901 | 16 | 7 |
Google's top ten for the three searches hold 20 sites; 1 of them are among the sites the models cited here (tropicapp.io). The first result for “best strategic sourcing software” is procurementmag.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 strategic sourcing software for an enterprise B2B company?”Paraphrase“Which e-sourcing and RFP tool would you recommend to a large B2B company with thousands of employees?”Comparative“What are the top enterprise-grade sourcing tools and how do they differ?”Budget-constrained“What is the best strategic sourcing software 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 strategic sourcing software. What should we look at?”Negative“Which sourcing tools should a large enterprise avoid or be cautious about?”
Claude Haiku 4.5CoupaCoupaHeldCoupaSAP Aribano first choicenothing named
Five alternatives
GEP SMART, Ivalua, Keelvar, SAP Ariba, ZycusFive alternatives
Determine, Infor CloudSuite Procurement, Jaggaer, Procore, SAP AribaSix alternatives
GEP SMART, Ivalua, Jaggaer, Keelvar, SAP Ariba, ZycusThree alternatives
Coupa, Ivalua, KeelvarGPT-5.4 miniIvaluaIvaluaHeldCoupa, Ivalua, Jaggaer, SAP AribaSAP Aribaagainst: Keelvarno first choicenothing named
Three alternatives
Coupa, Jaggaer, SAP AribaThree alternatives
Coupa, Jaggaer, SAP AribaNine alternatives
Archlet, Keelvar, Omnea, Procurify, ServiceNow Source-to-Pay Operations, Tropic, Vertice, Workday Strategic Sourcing, ZipThree alternatives
Archlet, Coupa, IvaluaGemini 3.5 FlashCoupaCoupa, ResponsiveChangedno first choiceIvaluano first choiceagainst: Coupa, GEP SMART, Jaggaer, SAP Aribanothing named
Six alternatives
GEP SMART, Ivalua, Jaggaer, Keelvar, SAP Ariba, Workday Strategic SourcingSix alternatives
GEP SMART, Ivalua, Keelvar, Loopio, SAP Ariba, Workday Strategic SourcingTen alternatives
Coupa, GEP SMART, HireEZ, Ivalua, Jaggaer, Keelvar, LinkedIn Recruiter, Phenom, SAP Ariba, SeekOutThree alternatives
Coupa, GEP SMART, KeelvarPerplexity SonarCoupaCoupaHeldno first choiceCoupaagainst: Keelvarno first choiceagainst: Precoro, Procurify
Five alternatives
GEP SMART, Ivalua, Jaggaer, Keelvar, SAP AribaFive alternatives
Ivalua, Loopio, Responsive, SAP Ariba, Upland QvidianEight alternatives
Coupa, GEP SMART, Ivalua, Jaggaer, Keelvar, Oracle Fusion Cloud Procurement, SAP Ariba, ZycusTwo alternatives
Ivalua, SAP AribaGrok 4.20SAP Aribaagainst: ProkuriaSAP AribaHeldLinkedIn Recruiteragainst: Entelo, Fetcher, JuiceboxIvaluaagainst: SAP AribaSAP Aribaagainst: Airtable, Apache OFBiz, Dolibarr, Google Workspace add-ons, Odoo, SAP Ariba, Trello, Zoho
Four alternatives
Coupa, GEP SMART, Ivalua, JaggaerFour alternatives
Coupa, GEP SMART, Ivalua, JaggaerFive alternatives
Eightfold AI, Findem, Gem, HireEZ, SeekOutTwo alternatives
Coupa, JaggaerFour alternatives
Coupa, Ivalua, Jaggaer, Workday Strategic SourcingMistral SmallIvalua, SAP AribaSAP AribaChangedSAP AribaSAP Aribano first choicenothing named
Three alternatives
Coupa, GEP SMART, JaggaerTwo alternatives
Coupa, IvaluaFour alternatives
Coupa, LightSource, Precoro, StampliThree alternatives
Coupa, GEP Quantum Intelligence, IvaluaDeepSeek V4 FlashIvaluaSAP AribaChangedSAP AribaIvaluaagainst: Coupano first choiceagainst: GEP SMART, Oracle Fusion, Precoro, ProcureDesk, Procurify, SAP Ariba, SurveyMonkey, Typeform
Two alternatives
Coupa, SAP AribaTwo alternatives
Coupa, IvaluaSix alternatives
Coupa, GEP SMART, Ivalua, Jaggaer, Keelvar, ZipOne alternative
SAP AribaLlama 4 MaverickSAP AribaCoupa, Mindsprint ProcureSprint, SAP AribaChangedno first choiceno first choiceno first choiceagainst: SAP Aribaagainst: Ivalua, SAP Ariba
Three alternatives
Coupa, Ivalua, Oracle Fusion Cloud ProcurementThree alternatives
Loopio, PandaDoc, ProposifyThree alternatives
Coupa, GEP SMART, IvaluaQwen 3.7 FlashCoupaCoupaHeldno first choiceCoupa, SAP AribaCoupa, GEP SMARTnothing named
Four alternatives
GEP SMART, Ivalua, Jaggaer, SAP AribaThree alternatives
Ivalua, Jaggaer, SAP AribaTwo alternatives
Jaggaer, Oracle Fusion Cloud ProcurementThree alternatives
Ivalua, Jaggaer, SAP AribaKimi K2IvaluaCoupa, IvaluaChangedno first choiceagainst: SAP AribaIvaluaagainst: Coupa, SAP Aribano first choicenothing named
Three alternatives
Coupa, SAP Ariba, ZycusThree alternatives
GEP SMART, Jaggaer, SAP AribaTen alternatives
Beamery, Coupa, Eightfold AI, GEP SMART, Gem, HireEZ, Ivalua, Jaggaer, SeekOut, ZipOne alternative
JaggaerGLM 4.7 FlashXIvaluaSAP AribaChangedno first choiceCoupa, GEP SMARTagainst: SAP Aribano first choicenothing named
Four alternatives
Coupa, GEP SMART, Jaggaer, SAP AribaTwo alternatives
Coupa, IvaluaTwo alternatives
Ivalua, JaggaerMiniMax M2.5no first choiceGEP SMARTChangedSAP AribaCoupaagainst: Ironclad, SAP Ariba, Zipno first choiceagainst: Precoro, Procurify, Tradogram
Four alternatives
Coupa, Ivalua, Jaggaer, SAP AribaSix alternatives
Coupa, GEP Quantum Intelligence, GEP SMART, Ivalua, Jaggaer, Oracle Fusion Cloud ProcurementTwo alternatives
GEP SMART, IvaluaGPT-6 LunaIvaluaCoupaChangedno first choiceGEP Quantum Intelligenceagainst: SAPno first choicenothing named
Four alternatives
Coupa, GEP SMART, Jaggaer, SAP AribaTwo alternatives
Ivalua, SAP AribaEight alternatives
Coupa, GEP SMART, Ivalua, Jaggaer, Keelvar, Oracle Fusion Cloud Procurement, SAP Ariba, Workday Strategic SourcingOne alternative
SAP AribaMuse Glimmer 30BSAP AribaSAP AribaHeldagainst: Loopio, Responsive formerly RFPIONoonIvalua, Jaggaer, SAP Aribano first choiceagainst: Fetcher, Gem, Greenhouse, HireEZ, Indeed Smart Sourcing, Juicebox, LinkedIn Recruiter, Pin, SAP Ariba, SeekOut
Five alternatives
Coupa, GEP Quantum Intelligence, GEP SMART, Ivalua, JaggaerTwo alternatives
Coupa, JaggaerSix alternatives
Eightfold, Fetcher, Gem, HireEZ, LinkedIn Recruiter, SeekOutOne alternative
Market DojoBold 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 10:13 | yes | 10 | 8 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 10:21 | yes | 4 | 5 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 12:00 | yes | 10 | 21 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-11-01 11:33 | yes | 10 | 4 s |
| Direct recommendation | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 13:14 | yes | 13 | 32 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 11:56 | yes | 5 | 4 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 11:52 | yes | 20 | 25 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 09:38 | yes | 5 | 2 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 10:40 | yes | 5 | 20 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 09:42 | yes | 18 | 34 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 11:06 | yes | 14 | 32 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 09:52 | yes | 10 | 62 s |
| Direct recommendation | GPT-6 Luna | gpt-6-luna | 2026-11-01 09:42 | yes | 6 | 36 s |
| Direct recommendation | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 13:01 | yes | 11 | 16 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 12:21 | no | 0 | 5 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 11:19 | yes | 5 | 6 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 09:29 | no | 0 | 17 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-11-01 12:10 | yes | 10 | 4 s |
| Paraphrase | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 13:16 | yes | 8 | 42 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 09:51 | yes | 5 | 5 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 10:01 | yes | 23 | 24 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 11:02 | yes | 5 | 3 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 09:04 | yes | 5 | 23 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 11:41 | yes | 20 | 23 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 11:25 | yes | 5 | 16 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 11:44 | yes | 10 | 24 s |
| Paraphrase | GPT-6 Luna | gpt-6-luna | 2026-11-01 09:11 | yes | 3 | 18 s |
| Paraphrase | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 10:05 | yes | 15 | 18 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 11:20 | yes | 17 | 11 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 09:38 | yes | 7 | 11 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 09:55 | no | 0 | 23 s |
| Comparative | Perplexity Sonar | sonar | 2026-11-01 11:39 | yes | 10 | 5 s |
| Comparative | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 13:04 | yes | 15 | 37 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 09:52 | yes | 5 | 7 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 12:01 | yes | 24 | 34 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 11:27 | yes | 5 | 2 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 09:31 | yes | 5 | 33 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 12:19 | yes | 25 | 76 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 11:11 | yes | 15 | 35 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 09:09 | yes | 15 | 47 s |
| Comparative | GPT-6 Luna | gpt-6-luna | 2026-11-01 12:01 | yes | 10 | 35 s |
| Comparative | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 11:01 | yes | 15 | 30 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 12:56 | yes | 14 | 10 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 10:32 | yes | 5 | 7 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 12:33 | yes | 14 | 29 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-11-01 10:43 | yes | 10 | 4 s |
| Budget constrained | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 13:16 | yes | 20 | 35 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 09:39 | yes | 5 | 6 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 08:42 | yes | 25 | 26 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 11:47 | yes | 8 | 3 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 10:51 | no | 0 | 26 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 11:51 | yes | 19 | 28 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 10:43 | yes | 21 | 342 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 11:52 | yes | 13 | 47 s |
| Budget constrained | GPT-6 Luna | gpt-6-luna | 2026-11-01 10:13 | yes | 2 | 21 s |
| Budget constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 10:02 | yes | 24 | 34 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 11:47 | yes | 19 | 14 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 12:02 | no | 0 | 8 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 10:33 | no | 0 | 17 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-11-01 12:48 | yes | 10 | 10 s |
| Scale constrained | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 13:04 | yes | 15 | 37 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 11:36 | no | 0 | 8 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 12:42 | yes | 25 | 45 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 12:45 | yes | 5 | 4 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 11:25 | yes | 10 | 39 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 09:09 | no | 0 | 70 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 09:19 | yes | 24 | 97 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 11:08 | yes | 20 | 38 s |
| Scale constrained | GPT-6 Luna | gpt-6-luna | 2026-11-01 11:38 | yes | 4 | 21 s |
| Scale constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 09:46 | yes | 14 | 22 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 10:55 | yes | 10 | 8 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 13:01 | no | 0 | 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 08:39 | yes | 9 | 26 s |
| Negative framing | Perplexity Sonar | sonar | 2026-11-01 09:17 | yes | 10 | 4 s |
| Negative framing | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 13:19 | yes | 9 | 31 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 08:57 | yes | 5 | 5 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 08:39 | yes | 25 | 28 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 09:02 | yes | 7 | 3 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 12:48 | yes | 25 | 62 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 11:43 | yes | 20 | 37 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 11:41 | yes | 21 | 92 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 12:53 | yes | 9 | 44 s |
| Negative framing | GPT-6 Luna | gpt-6-luna | 2026-11-01 11:26 | yes | 3 | 14 s |
| Negative framing | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 08:50 | yes | 23 | 39 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
Ariba read as SAP Ariba
GEP read as GEP SMART
Oracle read as Oracle Fusion Cloud Procurement
Oracle Procurement read as Oracle Fusion Cloud Procurement
Oracle Procurement Cloud read as Oracle Fusion Cloud Procurement
Unresolved, counted raw
C3 AI
Eightfold
Field Materials
Google Workspace add-ons
Infor CloudSuite Procurement
Red Hat
Responsive formerly RFPIO
SurveyMonkey
Typeform
eBuyerAssist Platform
Discontinued, still offered
No shut-down product was recommended here.