Index › Finance › Spend and procurement › Strategic sourcing › Small business · September 2026 Edition
Strategic sourcing for small business buyers
Asked as “strategic sourcing software”, and as “e-sourcing and RFP tool”, on behalf of a small B2B company. 47 first choices recorded across the direct, paraphrase, budget and scale prompts, twelve models each.
Standing · first-choice share
45%
Clear leader
45Tradogram11AuraVMS09oboloo36others
45% of first choices, clear leader.
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.
The standing
Share is the count of first choices across the direct, paraphrase, budget and scale prompts, over all twelve models, for a small B2B company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrant
Show the eight products at 0%, ordered by negative rate
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.
Head to headHead-to-head pages are published for mid-market buyers, so these open on mid-market figures, not small business.
All fifteen head-to-head pages: the top six products, each against each
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 →
01
02
03
04
05
06
07
08
09
10
11
12Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative60%
Key
01Tradogram45%
Tradogram45%02AuraVMS11%
AuraVMS11%03oboloo9%
oboloo9%04Procurify4%
Procurify4%05Precoro0%
Precoro0%06Juicebox0%
Juicebox0%07Manatal0%
Manatal0%08Gem0%
Gem0%09Loxo0%
Loxo0%10LinkedIn Recruiter0%
LinkedIn Recruiter0%11Coupa0%
Coupa0%12SAP Ariba0%
SAP Ariba0%What they warned about
Three of twelve models held their first choice under the paraphrase. Claude Haiku 4.5, GPT-5.4 mini, Perplexity Sonar, Grok 4.20, DeepSeek V4 Flash, Llama 4 Maverick, Qwen 3.7 Flash, Kimi K2 and GLM 4.7 FlashX 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 Ariba96%
27 of 28 labels negative · 11 of 12 models · 13 hard negative
“What to Avoid: Heavy ERP systems (like SAP Ariba, Oracle NetSuite, or Coupa) when you are still doing manual spreadsheets.” Qwen 3.7 Flash, negative prompt
Coupa88%
15 of 17 labels negative · 9 of 12 models · 9 hard negative
“Enterprise tools like Coupa, GEP SMART, or Workday are powerful but start at $2,500+/month with long implementations—unsuitable for small B2B.” Grok 4.20, direct prompt
LinkedIn Recruiter80%
8 of 10 labels negative · 5 of 12 models · 2 hard negative
“Tools like LinkedIn Recruiter Corporate ($10,800–$15,000 per seat annually) and hireEZ ... these are overkill and can drain resources” Mistral Small, negative prompt
Alibaba100%
4 of 4 labels negative · 4 of 12 models · 1 hard negative
“Platforms/Tools to Avoid or Be Highly Cautious With: 1. Alibaba.com (especially for beginners)” Grok 4.20, negative prompt
What they cite
Twelve of the twelve models returned a source list in this edition: four return the pages they cited and eight the search results they consulted.
Sites the answers cite
63 of 72 answers in this category came back with a source list, from 12 of 12 models: citations where the model returns them, or the search results it consulted. 913 links across 265 sites, every framing counted. Ranked by the number of answers carrying the site or page.
29 answers · 36 citations · 10 models
vendor site · G227 answers · 57 citations · 12 models
vendor site · Spendflo23 answers · 24 citations · 11 models
vendor site · AuraVMS22 answers · 42 citations · 9 models
22 answers · 25 citations · 9 models
22 answers · 22 citations · 11 models
vendor site · Tradogram19 answers · 24 citations · 8 models
19 answers · 22 citations · 11 models
17 answers · 21 citations · 10 models
vendor site · Capterra13 answers · 18 citations · 9 models
vendor site · Sourceforge12 answers · 17 citations · 7 models
12 answers · 12 citations · 10 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.
29 answers · 10 models
22 answers · 11 models
21 answers · 10 models
18 answers · 9 models
16 answers · 7 models
14 answers · 9 models
12 answers · 10 models
12 answers · 7 models
11 answers · 10 models
10 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 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 |
|---|---|---|---|---|---|---|---|
| Tradogram tradogram.com | 45% | 124 | 880 | 4 | 208,129 | 1 | |
| AuraVMS auravms.com | 11% | 29 | 10 | 0 | 206 | ||
| oboloo oboloo.com | 9% | 50 | 20 | 0 | 11,787 | ||
| Procurify procurify.com | 4% | 278 | 4,400 | 43 | 62,225 | $282 | 14 |
| PandaDoc pandadoc.com | 4% | 7 | 60,500 | 510 | 425,196 | $42,516 | 119 |
| ProcurePort | 2% | ||||||
| Prokuria prokuria.com | 2% | 46 | |||||
| Responsive responsive.io | 2% | 15 | 12,100 | 210,141 | 37,620 | 16 | |
| SiftHub sifthub.io | 2% | 260 | 0 | 17,832 | 0 | ||
| Procol procol.ai | 2% | 6 | 480 | 771 | 2,638 | 1 |
Google's top ten for the three searches hold 20 sites; 1 of them are among the sites the models cited here (gartner.com). 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 a small B2B company?”Paraphrase“Which e-sourcing and RFP tool would you recommend to a small business that sells to other businesses?”Comparative“What are the top sourcing tools for a small team and how do they differ?”Budget-constrained“What is the best strategic sourcing software for a small company with a tight budget?”Scale-constrained“We are a 30 person company evaluating a strategic sourcing software. What should we look at?”Negative“Which sourcing tools should a small business avoid or be cautious about?”
Claude Haiku 4.5no first choiceagainst: SAP AribaProkuria, SiftHubChangedNoonTradogramno first choicenothing named
Five alternatives
AutoRFP.ai, Breeze Docs, DeepRFP, Loopio, PowerRFPFour alternatives
Gem, Humanly, Manatal, PinThree alternatives
Precoro, Procurify, SourceRFXGPT-5.4 miniProcurifyagainst: Corcentric, Coupa, GEP SMART, SAP AribaResponsiveChangedagainst: Coupa, JaggaerJuicebox, ManatalProcurifyagainst: Ivalua, SAP Aribano first choicenothing named
One alternative
PrecoroSix alternatives
Fetcher, Gem, Greenhouse, HireEZ, LinkedIn Recruiter Lite / Recruiter, SeekOutTwo alternatives
Precoro, Sourcing ForceGemini 3.5 FlashAuraVMSagainst: Coupa, Jaggaer, Procurify, SAP AribaAuraVMSHeldagainst: Coupa, Loopio, SAP Aribano first choiceAuraVMSagainst: Coupa, GEP SMART, Precoro, SAP AribaAuraVMSagainst: Coupa, Ivalua, Jaggaer, SAP Aribaagainst: Alibaba, Coupa, DHgate, Oracle Taleo, SAP Ariba, Workday Recruiting
Four alternatives
Precoro, ProcFlow, Spendflo, TradogramThree alternatives
Market Dojo, Procurify, SiftHubSix alternatives
Fetcher, Gem, HireEZ, Juicebox, LinkedIn Recruiter, ManatalFive alternatives
Airtable, Market Dojo, Procuman, Softr, TradogramFive alternatives
Loopio, Precoro, Quotable AI, Responsive, TradogramPerplexity SonarTradogramagainst: SAP AribaAuraVMSChangedagainst: ProcolPinagainst: LinkedIn RecruiterTradogramagainst: Zaprono first choiceagainst: Apollo.io, Capital IQ, Coupa, LinkedIn Recruiter, PitchBook, SAP Ariba, SourceScrub, Workday P2P/T&E, ZoomInfo
One alternative
ProcurifyThree alternatives
EC eSourcing, Market Dojo, obolooFive alternatives
Fetcher, HireEZ, Juicebox, Loxo, ManatalOne alternative
ProcurementExpress.comGrok 4.20Tradogramagainst: AuraVMS, Coupa, GEP SMART, SAP Ariba, WorkdayPandaDocChangedagainst: Loopio, ResponsiveManatalTradogramagainst: Precoro, Procurify, SAP AribaTradogramagainst: SAP Aribaagainst: 1688.com, AliExpress, Alibaba, DHgate, Global Sources, Made-in-China, SAP Ariba, Shein, Temu
Two alternatives
Precoro, ProcurifyFive alternatives
1up, DeepRFP, Market Dojo, Proposify, TradogramFour alternatives
100Hires, ContactOut, Juicebox, LoxoTwo alternatives
SourceRFX, obolooTwo alternatives
Kodiak Hub, PrecoroMistral SmallTradogramagainst: SAP AribaTradogramHeldGemagainst: LinkedIn RecruiterTradogramno first choiceagainst: Coupa, HireEZ, LinkedIn Recruiter, SAP Ariba
One alternative
ProcureDeskTwo alternatives
DeepRFP, obolooSeven alternatives
ContactOut, HireEZ, Humanly, Juicebox, Loxo, Manatal, Zoho RecruitThree alternatives
Procol, ProcurePort, ZaproDeepSeek V4 FlashTradogramagainst: Coupa, GEP SMART, Ivalua, Jaggaer, SAP AribaPandaDocChangedagainst: AutoRFP.ai, Loopio, ResponsiveJuiceboxagainst: LinkedIn Recruiter Lite / Recruiter, ManatalTradogramagainst: AuraVMSno first choiceagainst: Oracle Fusion Cloud Procurement, SAP Aribaagainst: Coupa, Fetcher, Gem, LinkedIn Recruiter, Loxo, SAP Ariba
Two alternatives
Precoro, ProcurifyFour alternatives
Breeze Docs, DeepRFP, Market Dojo, TradogramFour alternatives
Gem, Loxo, SeekOut, WellfoundTwo alternatives
Precoro, RampTwo alternatives
Precoro, ProcurifyLlama 4 Maverickno first choiceTradogramChangedno first choiceProcol, ProcurePort, Tradogram, Zaprono first choiceagainst: Underdog.io
One alternative
obolooQwen 3.7 FlashKissflow Procurementagainst: SAP AribaLoopioChanged100HiresSpendwiseDigiChain, Jaggaer, Scanbase, Zyleragainst: SAP Ariba, SAP Coupaagainst: Coupa, Fiverr Enterprise, Hunter.io, Oracle NetSuite, SAP Ariba, Upwork, ZoomEye
Two alternatives
Procurify, SpendfloThree alternatives
PandaDoc, RFPO, ScanaduFour alternatives
Gem, Manatal, Pin, SeekOutThree alternatives
SourceRFX, Tradogram, Zoho CreatorKimi K2obolooagainst: ProcolTradogramChangedLoxoTradogram, obolooagainst: Precorono first choiceagainst: SAP Aribaagainst: Alibaba, Coupa, Made-in-China, SAP Ariba
One alternative
PrecoroFour alternatives
AuraVMS, Bidara, PandaDoc, ProkuriaFour alternatives
ContactOut, Fetcher, Juicebox, ManatalOne alternative
ProcurePortGLM 4.7 FlashXTradogramagainst: SAP AribaobolooChangedGem, LoxoTradogramagainst: ControlHub, ProcurementExpress.com, Spendwiseno first choiceagainst: HireEZ, LinkedIn Recruiter, SeekOut
Two alternatives
Catapult, PrecoroSix alternatives
Bidara, Breeze Docs, DeepRFP, Market Dojo, Nusii, PandaDocFive alternatives
Juicebox, Lusha, Manatal, MindHunt AI, SeekOutFour alternatives
Precoro, ProcureDesk, Procurify, RampMiniMax M2.5TradogramTradogramHeldno first choiceagainst: Coupa, LinkedIn Recruiter, SAP AribaTradogram, obolooagainst: BuyingStation, PrecoroTradogramagainst: SAP Aribaagainst: Alibaba, Global Sources, LinkedIn Recruiter, SAP SuccessFactors, Workday
Two alternatives
Precoro, ProcurifyFive alternatives
Loopio, Market Dojo, Precoro, Responsive, obolooOne alternative
VendorfulThree alternatives
Procol, ProcurePort, SourceRFXBold 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.
Seventy-two 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 | 2026-09-17 17:54 | no | 0 | 5 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-09-17 19:33 | yes | 4 | 6 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.5-flash | 2026-09-17 20:17 | yes | 16 | 22 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-09-17 19:04 | yes | 20 | 7 s |
| Direct recommendation | Grok 4.20 | spacexai/grok-4.1-fast-non-reasoning via vertex (asked for grok-4.20-non-reasoning; the API answered as this version) | 2026-09-17 20:55 | yes | 33 | 18 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-09-17 18:19 | yes | 5 | 4 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via fireworks | 2026-09-17 19:53 | yes | 16 | 19 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-09-17 20:52 | yes | 5 | 3 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-09-17 19:15 | no | 0 | 28 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-09-17 20:49 | yes | 23 | 28 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-09-17 19:25 | yes | 15 | 104 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-09-17 21:08 | yes | 10 | 31 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-09-17 18:46 | yes | 14 | 9 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-09-17 20:56 | yes | 3 | 9 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.5-flash | 2026-09-17 21:56 | yes | 9 | 49 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-09-17 20:18 | yes | 20 | 5 s |
| Paraphrase | Grok 4.20 | spacexai/grok-4.1-fast-non-reasoning via vertex (asked for grok-4.20-non-reasoning; the API answered as this version) | 2026-09-17 20:41 | yes | 34 | 19 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-09-17 19:15 | yes | 5 | 4 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via fireworks | 2026-09-17 18:45 | yes | 9 | 16 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-09-17 20:24 | yes | 5 | 3 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-09-17 20:52 | no | 0 | 26 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-09-17 19:57 | yes | 14 | 23 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-09-17 19:18 | yes | 27 | 89 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-09-17 20:57 | yes | 10 | 51 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-09-17 19:26 | yes | 18 | 10 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-09-17 19:23 | yes | 7 | 8 s |
| Comparative | Gemini 3.5 Flash | gemini-3.5-flash | 2026-09-17 19:29 | yes | 9 | 19 s |
| Comparative | Perplexity Sonar | sonar | 2026-09-17 19:25 | yes | 18 | 8 s |
| Comparative | Grok 4.20 | spacexai/grok-4.1-fast-non-reasoning via vertex (asked for grok-4.20-non-reasoning; the API answered as this version) | 2026-09-17 19:49 | yes | 22 | 14 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-09-17 18:51 | yes | 8 | 10 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via fireworks | 2026-09-17 19:30 | yes | 20 | 27 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-09-17 19:03 | yes | 5 | 3 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-09-17 18:21 | yes | 5 | 35 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-09-17 18:10 | yes | 8 | 22 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-09-17 18:34 | yes | 16 | 37 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-09-17 18:13 | yes | 20 | 39 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-09-17 19:40 | yes | 9 | 7 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-09-17 19:03 | yes | 2 | 6 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-09-17 21:53 | yes | 24 | 21 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-09-17 19:39 | yes | 20 | 6 s |
| Budget constrained | Grok 4.20 | spacexai/grok-4.1-fast-non-reasoning via vertex (asked for grok-4.20-non-reasoning; the API answered as this version) | 2026-09-17 20:01 | yes | 36 | 18 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-09-17 18:24 | yes | 5 | 4 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via fireworks | 2026-09-17 18:48 | yes | 18 | 17 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-09-17 19:04 | yes | 5 | 3 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-09-17 21:03 | yes | 15 | 55 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-09-17 18:59 | yes | 21 | 41 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-09-17 19:14 | yes | 13 | 49 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-09-17 20:48 | yes | 9 | 20 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-09-17 19:24 | no | 0 | 7 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-09-17 20:48 | no | 0 | 8 s |
| Scale constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-09-17 18:39 | yes | 20 | 25 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-09-17 19:13 | yes | 20 | 7 s |
| Scale constrained | Grok 4.20 | spacexai/grok-4.1-fast-non-reasoning via vertex (asked for grok-4.20-non-reasoning; the API answered as this version) | 2026-09-17 20:55 | yes | 14 | 13 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-09-17 18:47 | no | 0 | 8 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via fireworks | 2026-09-17 19:58 | yes | 18 | 21 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-09-17 18:33 | yes | 5 | 4 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-09-17 19:04 | no | 0 | 35 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-09-17 20:43 | yes | 14 | 27 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-09-17 19:13 | no | 0 | 6 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-09-17 20:50 | yes | 14 | 29 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-09-17 19:05 | yes | 18 | 11 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-09-17 20:12 | yes | 5 | 6 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.5-flash | 2026-09-17 18:21 | yes | 11 | 24 s |
| Negative framing | Perplexity Sonar | sonar | 2026-09-17 19:06 | yes | 20 | 6 s |
| Negative framing | Grok 4.20 | spacexai/grok-4.1-fast-non-reasoning via vertex (asked for grok-4.20-non-reasoning; the API answered as this version) | 2026-09-17 20:36 | yes | 39 | 17 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-09-17 20:53 | yes | 5 | 4 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-09-17 19:55 | yes | 22 | 47 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-09-17 18:54 | yes | 5 | 3 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-09-17 19:56 | no | 0 | 32 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-09-17 19:02 | yes | 27 | 53 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-09-17 19:53 | yes | 13 | 113 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-09-17 18:31 | yes | 13 | 41 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
Alibaba.com read as Alibaba
Ariba read as SAP Ariba
Ariba (SAP) read as SAP Ariba
GEP read as GEP SMART
Made-in-China.com read as Made-in-China
Oracle read as Oracle Fusion Cloud Procurement
Unresolved, counted raw
1up
1up.ai
AsiaInspection
BidSparq
BreezyHR
CJdropshipping
Catapult
Data Miner
DigiChain
EC eSourcing
Google X-Ray
Homerun
Hunter.io
JingSourcing
LinkedIn Basic or Premium
LinkedIn Sales Navigator Lite
Nusii
POCsheet
ProcFlow
Quotable AI
RFPO (Formerly RFPGO)
Recruiterflow
SAP Coupa
Scanadu
Scanbase
Shein
Snov.io
SourceScrub
SupplyMe
Syncee
Temu
Text Blaze
Underdog.io
Wholesale Central
Wonnda
ZoomEye
Zyler
Discontinued, still offered
No shut-down product was recommended here.