Supplier management for enterprise buyers
Asked as “supplier management software”, and as “vendor onboarding and information management platform”, on behalf of an enterprise B2B company. 51 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each.
Standing · first-choice share
35%
Contested · Coupa 20%
35SAP Ariba20Coupa14Ivalua31others
35% of first choices, contested.
Since September 2026▼−2Since September 2026: 40% → 37%, −2 points. Inside the 10-point floor: within noise. Read over the models both editions asked.SAP Ariba held the lead, −2 points on 40%, 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
Precoro27%Contested▼−12Since September 2026: 40% → 28%, −12 points. Past the 10-point floor: movement. Read over the models both editions asked.Standing →Mid-marketPrecoro14%Contested↗new leaderNew leader since September 2026: Precoro (14%) replaces Procurify (26% then, 12% now), 2 points clear, inside the 10-point floor.Standing →Enterprise
SAP Ariba35%Contested▼−2Since September 2026: 40% → 37%, −2 points. Inside the 10-point floor: within noise. Read over the models both editions asked.This page
Precoro27%Contested▼−12Since September 2026: 40% → 28%, −12 points. Past the 10-point floor: movement. Read over the models both editions asked.Standing →Mid-marketPrecoro14%Contested↗new leaderNew leader since September 2026: Precoro (14%) replaces Procurify (26% then, 12% now), 2 points clear, inside the 10-point floor.Standing →EnterpriseSAP Ariba35%Contested▼−2Since September 2026: 40% → 37%, −2 points. 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
01SAP Ariba35%28%67criticized default▼−2Since September 2026: 40% → 37%, −2 points. Inside the 10-point floor: within noise. Read over the models both editions asked.40% → 37%
SAP Ariba35%28%67criticized default▼−2Since September 2026: 40% → 37%, −2 points. Inside the 10-point floor: within noise. Read over the models both editions asked.40% → 37%02
Coupa20%22%65accepted challenger▼−2Since September 2026: 23% → 21%, −2 points. Inside the 10-point floor: within noise. Read over the models both editions asked.23% → 21%
Coupa20%22%65accepted challenger▼−2Since September 2026: 23% → 21%, −2 points. Inside the 10-point floor: within noise. Read over the models both editions asked.23% → 21%03
Ivalua14%11%46accepted challenger▲+9Since September 2026: 5% → 14%, +9 points. Inside the 10-point floor: within noise. Read over the models both editions asked.5% → 14%
Ivalua14%11%46accepted challenger▲+9Since September 2026: 5% → 14%, +9 points. Inside the 10-point floor: within noise. Read over the models both editions asked.5% → 14%04
GEP SMART6%18%28accepted challenger=heldSince September 2026: 5% → 5%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.5% → 5%
GEP SMART6%18%28accepted challenger=heldSince September 2026: 5% → 5%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.5% → 5%05
Gatekeeper6%18%11accepted challenger=heldSince September 2026: 5% → 5%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.5% → 5%
Gatekeeper6%18%11accepted challenger=heldSince September 2026: 5% → 5%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.5% → 5%Show the three products at 0%, ordered by negative rate
08
Oracle Fusion Cloud Procurement0%29%17criticized 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%29%17criticized 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
Zycus0%8%12accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.0% → 0%
Zycus0%8%12accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.0% → 0%06
Jaggaer0%8%26accepted challenger▼−2Since September 2026: 2% → 0%, −2 points. Inside the 10-point floor: within noise. Read over the models both editions asked.2% → 0%
Jaggaer0%8%26accepted challenger▼−2Since September 2026: 2% → 0%, −2 points. Inside the 10-point floor: within noise. Read over the models both editions asked.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 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
Precoro vs GatekeeperPrecoro vs PayhawkPrecoro vs IvaluaPrecoro vs Kodiak HubProcurify vs TradogramProcurify vs CoupaProcurify vs GatekeeperProcurify vs PayhawkProcurify vs IvaluaProcurify vs Kodiak HubTradogram vs CoupaTradogram vs GatekeeperTradogram vs PayhawkTradogram vs IvaluaTradogram vs Kodiak HubCoupa vs GatekeeperCoupa vs PayhawkCoupa vs IvaluaCoupa vs Kodiak HubGatekeeper vs PayhawkGatekeeper vs IvaluaGatekeeper vs Kodiak HubPayhawk vs IvaluaPayhawk vs Kodiak HubIvalua vs Kodiak Hub
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% negative50%
Key
01SAP Ariba35%
SAP Ariba35%02Coupa20%
Coupa20%03Ivalua14%
Ivalua14%04GEP SMART6%
GEP SMART6%05Gatekeeper6%
Gatekeeper6%06Jaggaer0%
Jaggaer0%07Zycus0%
Zycus0%08Oracle Fusion Cloud Procurement0%
Oracle Fusion Cloud Procurement0%What they warned about
One of fourteen models held their first choice under the paraphrase. Claude Haiku 4.5, GPT-5.4 mini, Gemini 3.5 Flash, Grok 4.1 Fast, Mistral Small, DeepSeek V4 Flash, Llama 4 Maverick, Qwen 3.7 Flash, Kimi K2, GLM 4.7 FlashX, MiniMax M2.5, 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.
SAP Ariba28%
19 of 67 labels negative · 13 of 14 models · 6 hard negative
“Who should avoid: Enterprises that are not already SAP-native... Avoid buying the "obvious" name without a reference check — SAP Ariba is the market leader but is the most common source of ... failures.” DeepSeek V4 Flash, negative prompt
Coupa22%
14 of 65 labels negative · 12 of 14 models · 3 hard negative
“Who should avoid: Enterprises with heavy direct/engineering procurement needs... Also be cautious if you're not prepared for aggressive commercial negotiation.” DeepSeek V4 Flash, negative prompt
Oracle Fusion Cloud Procurement29%
5 of 17 labels negative · 5 of 14 models · 2 hard negative
“Why to avoid: If you use SAP for finance and Coupa for purchasing, or any hybrid model, trying to force Oracle Procurement to bridge that gap introduces massive technical debt.” Qwen 3.7 Flash, negative prompt
GEP SMART18%
5 of 28 labels negative · 5 of 14 models
“feature-heavy to the point of bloat, making adoption difficult without dedicated onboarding resources” 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
78 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. 1184 links across 314 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 · Guideflow37 answers · 47 citations · 11 models
vendor site · HighRadius28 answers · 37 citations · 11 models
26 answers · 35 citations · 10 models
vendor site · Payhawk26 answers · 29 citations · 10 models
vendor site · Spendflo20 answers · 23 citations · 10 models
19 answers · 30 citations · 8 models
vendor site · G218 answers · 22 citations · 8 models
17 answers · 18 citations · 8 models
vendor site · G216 answers · 21 citations · 9 models
vendor site · Precoro16 answers · 18 citations · 9 models
vendor site · Ivalua14 answers · 19 citations · 10 models
vendor site · Worldmetrics14 answers · 18 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.
33 answers · 11 models
24 answers · 10 models
16 answers · 7 models
16 answers · 9 models
15 answers · 8 models
13 answers · 8 models
13 answers · 8 models
12 answers · 8 models
12 answers · 7 models
11 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 supplier management software”, “supplier management platforms”, “supplier management 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 |
|---|---|---|---|---|---|---|---|---|
| SAP Ariba sap.com SAP Ariba 35%, SAP Business Network 2% | 37% | 519 | 8,100 | 554 | 2,214,514 | $1,251 | 23 | 2 |
| Coupa coupa.com | 20% | 674 | 60,500 | 1,210 | 41,319 | $339 | 91 | |
| Ivalua ivalua.com Ivalua 14%, Ivalua Supplier Management 0% | 14% | 258 | 3,600 | 87 | 35,515 | 80 | ||
| GEP gep.com GEP SMART 6% | 6% | 169 | 880 | 26 | 54,424 company | 51 | ||
| Gatekeeper gatekeeperhq.com | 6% | 41 | 40,500 | 3,731 | 69,315 | $83,492 | 20 | 5 |
| HICX hicx.com | 4% | 18 | 260 | 5 | 639 | 25 | ||
| SupplierGATEWAY suppliergateway.com | 4% | 3 | ||||||
| SAP Fieldglass | 2% | 12,100 | 103 | |||||
| Vendorply vendorply.com | 2% | 7 | ||||||
| 8Manage SRM | 2% |
Google's top ten for the three searches hold 21 sites; 2 of them are among the sites the models cited here (highradius.com, payhawk.com). The first result for “best supplier management software” is reddit.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 supplier management software for an enterprise B2B company?”Paraphrase“Which vendor onboarding and information management platform would you recommend to a large B2B company with thousands of employees?”Comparative“What are the top enterprise-grade supplier management platforms and how do they differ?”Budget-constrained“What is the best supplier management 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 supplier management software. What should we look at?”Negative“Which supplier management platforms should a large enterprise avoid or be cautious about?”
Claude Haiku 4.5SAP Aribano first choiceChangedSAP AribaSAP Aribano first choiceagainst: Coupa, SAP Ariba
Two alternatives
Coupa, IvaluaFour alternatives
Coupa, GEP SMART, Ivalua, JaggaerTwo alternatives
Coupa, GEP SMARTGPT-5.4 miniSAP AribaIvaluaChangedagainst: CoupaCoupa, Ivalua Supplier Management, Jaggaer, SAP Aribaagainst: ServiceNow Source-to-Pay, SynerTradeIvaluano first choiceagainst: Bitsight, Esker Source-to-Pay, Infor Nexus Supplier Management, Oracle Fusion Cloud Procurement, ProcessUnity TPRM Platform, SAP Ariba
Four alternatives
Coupa, Interos, Ivalua, ResilincTwo alternatives
SAP Ariba, SAP Business NetworkTwo alternatives
Oracle Fusion Cloud Procurement, ZycusTwo alternatives
Jaggaer, SAP AribaGemini 3.5 FlashSAP Aribano first choiceChangedno first choiceGatekeeper, SupplierGATEWAYagainst: Coupa, SAP Aribano first choiceagainst: Airbase, Order.co, Precoro, Procurify, Tradogram, legacy Oracle Supplier Hub, older SAP SRM
Six alternatives
Coupa, Graphite Connect, HICX, Ivalua, Jaggaer, Kodiak HubFive alternatives
Apex Analytix, Coupa, Graphite Connect, HICX, SAP AribaTwo alternatives
Supplios, Zapro AIPerplexity SonarSAP AribaSAP AribaHeldSAP AribaSAP Aribano first choiceagainst: Coupa, GEP SMART, Precoro, TradeGecko
Three alternatives
Coupa, GEP SMART, Oracle Fusion Cloud ProcurementTwo alternatives
Coupa, ZycusFour alternatives
Coupa, Ivalua, SAP Fieldglass, ZycusThree alternatives
Coupa, Ivalua, JaggaerGrok 4.1 FastIvalua, SAP AribaCoupa, SAP AribaChangedagainst: Gatekeeper, Procurify, Tipaltino first choiceCoupaSAP Aribaagainst: Anaplan, Coupa, GEP SMART, Precoro, Procurify, SAP Ariba, SAP Fieldglass, UpGuard, Zip
Three alternatives
Coupa, GEP SMART, Oracle Fusion Cloud ProcurementTwo alternatives
Ivalua, JaggaerOne alternative
SAP AribaSix alternatives
Coupa, Ivalua, Jaggaer, UpGuard, Vanta, ZycusMistral Small8Manage SRM, SAP AribaCoupa, SAP AribaChangedCoupa, SAP AribaIvaluaagainst: SAP Aribano first choicenothing named
Four alternatives
Aravo, GEP SMART, Gatekeeper, HICXOne alternative
HighRadiusFour alternatives
Ivalua, Jaggaer, Oracle Fusion Cloud Procurement, SAP FieldglassOne alternative
CoupaDeepSeek V4 FlashGEP SMART, SAP AribaCoupa, SAP AribaChangedno first choiceGatekeeperagainst: SAP Aribano first choiceagainst: Coupa, GEP SMART, Ivalua, Oracle Fusion Cloud Procurement, SAP Ariba, Zycus
Two alternatives
Coupa, JaggaerFour alternatives
GEP SMART, Gatekeeper, HICX, IvaluaTwo alternatives
Coupa, JaggaerLlama 4 MaverickSAP AribaVendorplyChangedno first choiceno first choiceno first choiceagainst: Coupa, GEP SMART, SAP Ariba
Three alternatives
Payhawk, Team Procure, TipaltiQwen 3.7 FlashCoupaCoupa, SAP AribaChangedno first choiceOracle Fusion Procurementagainst: SAP Aribano first choiceagainst: Coupa, Oracle Fusion Cloud Procurement, SAP Ariba, Salesforce
Two alternatives
Oracle Fusion Cloud Procurement, SAP AribaTwo alternatives
Tipalti, Workday Supplier Lifecycle ManagementSix alternatives
Coupa, GEP SMART, Ivalua, Jaggaer, SAP Ariba, ZycusOne alternative
CoupaKimi K2Coupa, IvaluaHICXChangedSAP AribaIvaluaagainst: Coupa, SAP Aribano first choiceagainst: Coupa, Oracle Fusion Cloud Procurement, SAP Ariba
One alternative
SAP AribaThree alternatives
Coupa, Ivalua, SAP AribaFour alternatives
Coupa, Ivalua, Jaggaer, Oracle Fusion Cloud ProcurementOne alternative
GEP SMARTGLM 4.7 FlashXGEP SMARTCoupaChangedno first choiceOracle NetSuiteagainst: SAP Aribano first choiceagainst: SAP Ariba
Three alternatives
Coupa, HighRadius, SAP AribaThree alternatives
Ivalua, SAP Ariba, SAP FieldglassOne alternative
CoupaMiniMax M2.5no first choiceCoupa, SAP FieldglassChangedno first choiceSupplierGATEWAYagainst: Coupa, GEP SMART, Ivalua, SAP Aribano first choiceagainst: Coupa, Gatekeeper, Ivalua, Jaggaer, SAP Ariba
Two alternatives
Spendflo, VendorplyTwo alternatives
Precoro, SuppliosGPT-6 LunaIvaluaHICXChangedno first choiceGEP SMARTno first choiceagainst: Coupa, Ivalua, Oracle Fusion Cloud Procurement, SAP Ariba
Two alternatives
Oracle Fusion Cloud Procurement, SAP AribaTwo alternatives
Ivalua, SAP AribaOne alternative
IvaluaMuse Glimmer 30BSAP AribaCoupa, SAP Ariba, SAP Business NetworkChangedCoupa, Ivalua, SAP Ariba, SAP Business NetworkGatekeeperagainst: AdaptOne, Avetta, Coupa, EcoVadis, Ivalua, Jaggaer, Kodiak Hub, Procuresprint, SAP Aribano first choiceagainst: Oracle Fusion Cloud SCM, Payhawk, SAP Ariba
Four alternatives
Coupa, GEP SMART, Ivalua, JaggaerTwo alternatives
GEP SMART, Oracle Procurement Cloud Supplier ManagementOne alternative
SuppliosBold 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 08:55 | yes | 9 | 7 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 09:05 | yes | 3 | 4 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 09:43 | yes | 11 | 17 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-10-01 10:05 | yes | 16 | 4 s |
| Direct recommendation | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 08:49 | yes | 25 | 16 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 09:28 | yes | 10 | 7 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 10:58 | yes | 21 | 24 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 09:51 | yes | 5 | 2 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 07:51 | yes | 10 | 24 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 08:45 | yes | 14 | 24 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 07:42 | yes | 18 | 85 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 07:37 | yes | 5 | 25 s |
| Direct recommendation | GPT-6 Luna | gpt-6-luna | 2026-10-01 08:09 | yes | 5 | 22 s |
| Direct recommendation | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 10:25 | yes | 24 | 25 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 10:38 | no | 0 | 3 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 10:18 | yes | 3 | 4 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 09:24 | yes | 17 | 22 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-10-01 08:21 | yes | 19 | 4 s |
| Paraphrase | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 08:50 | yes | 23 | 7 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 10:18 | yes | 22 | 12 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 10:45 | yes | 25 | 36 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 10:24 | yes | 5 | 2 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 11:02 | yes | 5 | 23 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 11:11 | yes | 18 | 26 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 07:50 | yes | 23 | 44 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 08:29 | yes | 10 | 19 s |
| Paraphrase | GPT-6 Luna | gpt-6-luna | 2026-10-01 08:24 | yes | 3 | 9 s |
| Paraphrase | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 08:44 | yes | 15 | 22 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 07:46 | yes | 10 | 9 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 10:02 | yes | 7 | 13 s |
| Comparative | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 10:57 | yes | 16 | 26 s |
| Comparative | Perplexity Sonar | sonar | 2026-10-01 10:26 | yes | 16 | 4 s |
| Comparative | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 10:18 | yes | 24 | 8 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 08:35 | yes | 20 | 13 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 09:34 | yes | 23 | 10 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 10:56 | yes | 5 | 2 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 09:38 | yes | 17 | 28 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 10:02 | yes | 20 | 25 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 11:27 | yes | 24 | 184 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 07:59 | yes | 18 | 23 s |
| Comparative | GPT-6 Luna | gpt-6-luna | 2026-10-01 08:14 | yes | 8 | 34 s |
| Comparative | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 08:58 | yes | 12 | 32 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 08:39 | yes | 19 | 9 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 10:48 | yes | 2 | 5 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 11:25 | yes | 18 | 25 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-10-01 09:24 | yes | 18 | 3 s |
| Budget constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 10:54 | yes | 24 | 8 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 11:21 | yes | 18 | 9 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 08:08 | yes | 23 | 29 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 09:20 | yes | 5 | 4 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 07:48 | yes | 24 | 97 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 10:38 | yes | 23 | 33 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 08:36 | yes | 24 | 58 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 10:54 | yes | 21 | 45 s |
| Budget constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 08:32 | yes | 3 | 20 s |
| Budget constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 07:38 | yes | 14 | 20 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 08:29 | yes | 18 | 11 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 08:23 | no | 0 | 7 s |
| Scale constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 11:12 | no | 0 | 22 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-10-01 07:37 | yes | 15 | 5 s |
| Scale constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 09:45 | yes | 18 | 16 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 11:19 | no | 0 | 8 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 08:43 | yes | 25 | 67 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 09:46 | yes | 5 | 3 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 09:20 | no | 0 | 32 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 10:01 | yes | 14 | 35 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 10:20 | yes | 14 | 31 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 11:14 | no | 0 | 49 s |
| Scale constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 11:26 | yes | 3 | 23 s |
| Scale constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 10:09 | yes | 14 | 26 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 08:18 | yes | 26 | 13 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 11:16 | yes | 5 | 10 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 08:00 | yes | 19 | 29 s |
| Negative framing | Perplexity Sonar | sonar | 2026-10-01 11:25 | yes | 19 | 5 s |
| Negative framing | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 09:06 | yes | 24 | 10 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 08:38 | yes | 5 | 4 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 07:52 | yes | 24 | 43 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 11:24 | yes | 5 | 3 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 08:32 | yes | 19 | 62 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 08:46 | yes | 25 | 27 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 08:35 | yes | 23 | 41 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 10:03 | yes | 18 | 81 s |
| Negative framing | GPT-6 Luna | gpt-6-luna | 2026-10-01 09:13 | yes | 5 | 20 s |
| Negative framing | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 11:10 | yes | 21 | 34 s |
Normalization in this category
Every judgment call made between the raw labels and the numbers above, listed so it is visible and reversible.
ShowHide
Category-scoped readings
Ariba read as SAP Ariba
GEP read as GEP SMART
Kissflow read as Kissflow Procurement
Oracle read as Oracle Fusion Cloud Procurement
Oracle Procurement Cloud read as Oracle Fusion Cloud Procurement
Unresolved, counted raw
8Manage SRM
AdaptOne
Apex Analytix
Arria Informatica
Beyond Intranet
Blaze.tech
Centraleyes
Esker Source-to-Pay
Everstream Analytics
GEP NEXUS
HighRadius Vendor Onboarding
Ignite
Infor Nexus Supplier Management
Interos
Ivalua Supplier Management
Jaguar Solutions
NeoChain
Oracle Fusion Cloud SCM
Oracle Fusion Procurement
Oracle Procurement Cloud Supplier Management
ProcessUnity TPRM Platform
RSA Archer Supplier-Risk
SAP Supplier Lifecycle Management
SecurityScorecard
Sirion CLM
Softr.io
Traditional ERP (SAP/Oracle SCM)
Vendura
Workday Supplier Lifecycle Management
Zoop
legacy Oracle Supplier Hub
older SAP SRM
Discontinued, still offered
No shut-down product was recommended here.