Index › Workforce planning and analytics › Contingent workforce man › Small business › October 2026 Edition
Contingent workforce management for small business buyers
Asked as “vendor management system for contingent workers”, and as “freelancer management platform”, on behalf of a small B2B company. 53 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each.
Standing · first-choice share
26%
Contested · SimpleVMS 17%
26VectorVMS17SimpleVMS11Upwork45others
26% of first choices, contested.
Since September 2026↗new leaderNew leader since September 2026: VectorVMS (26%) replaces SimpleVMS (31% then, 17% now), 9 points clear, inside the 13-point floor.VectorVMS leads at 26%, replacing SimpleVMS, which led at 31% and stands at 17% now: 9 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
VectorVMS26%Contested↗new leaderNew leader since September 2026: VectorVMS (26%) replaces SimpleVMS (31% then, 17% now), 9 points clear, inside the 13-point floor.This pageMid-marketVectorVMS16%Contested↗new leaderNew leader since September 2026: VectorVMS (16%) replaces SimpleVMS (35% then, 4% now), 12 points clear, inside the 13-point floor.Standing →Enterprise
SAP Fieldglass42%Clear leader▲+2Since September 2026: 39% → 41%, +2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.Standing →
VectorVMS26%Contested↗new leaderNew leader since September 2026: VectorVMS (26%) replaces SimpleVMS (31% then, 17% now), 9 points clear, inside the 13-point floor.This pageMid-marketVectorVMS16%Contested↗new leaderNew leader since September 2026: VectorVMS (16%) replaces SimpleVMS (35% then, 4% now), 12 points clear, inside the 13-point floor.Standing →EnterpriseSAP Fieldglass42%Clear leader▲+2Since September 2026: 39% → 41%, +2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.Standing →The standing
Share is the count of first choices across the direct, paraphrase, budget and scale prompts, over all fourteen models, for a small B2B company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrantSince September 2026
01VectorVMS26%11%27accepted challenger▲+26Since September 2026: 0% → 26%, +26 points. Past the 13-point floor: movement. Read over the models both editions asked.0% → 26%
VectorVMS26%11%27accepted challenger▲+26Since September 2026: 0% → 26%, +26 points. Past the 13-point floor: movement. Read over the models both editions asked.0% → 26%02
SimpleVMS17%0%17accepted challenger▼−13Since September 2026: 31% → 17%, −13 points. Inside the 13-point floor: within noise. Read over the models both editions asked.31% → 17%
SimpleVMS17%0%17accepted challenger▼−13Since September 2026: 31% → 17%, −13 points. Inside the 13-point floor: within noise. Read over the models both editions asked.31% → 17%03
Upwork11%33%27criticized challenger▲+5Since September 2026: 6% → 11%, +5 points. Inside the 13-point floor: within noise. Read over the models both editions asked.6% → 11%
Upwork11%33%27criticized challenger▲+5Since September 2026: 6% → 11%, +5 points. Inside the 13-point floor: within noise. Read over the models both editions asked.6% → 11%04
Conexis VMS9%0%12accepted challenger=heldSince September 2026: 6% → 7%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.6% → 7%
Conexis VMS9%0%12accepted challenger=heldSince September 2026: 6% → 7%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.6% → 7%05
TalentDesk.io6%10%10accepted challenger=heldSince September 2026: 6% → 7%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.6% → 7%
TalentDesk.io6%10%10accepted challenger=heldSince September 2026: 6% → 7%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.6% → 7%06
Deel4%4%23accepted challenger▼−10Since September 2026: 12% → 2%, −10 points. Inside the 13-point floor: within noise. Read over the models both editions asked.12% → 2%
Deel4%4%23accepted challenger▼−10Since September 2026: 12% → 2%, −10 points. Inside the 13-point floor: within noise. Read over the models both editions asked.12% → 2%07
Worksuite2%6%18accepted challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 2%
Worksuite2%6%18accepted challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 2%08
Remote2%0%10accepted challenger▼−2Since September 2026: 4% → 2%, −2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.4% → 2%
Remote2%0%10accepted challenger▼−2Since September 2026: 4% → 2%, −2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.4% → 2%09
SimplifyVMS2%9%11accepted challenger=heldSince September 2026: 2% → 2%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.2% → 2%
SimplifyVMS2%9%11accepted challenger=heldSince September 2026: 2% → 2%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.2% → 2%10
Worksome2%17%12accepted challenger▼−2Since September 2026: 4% → 2%, −2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.4% → 2%
Worksome2%17%12accepted challenger▼−2Since September 2026: 4% → 2%, −2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.4% → 2%11
Workday VNDLY2%59%17criticized challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 2%
Workday VNDLY2%59%17criticized challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 2%12SAP Fieldglass2%78%36criticized challenger=heldSince September 2026: 2% → 2%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.2% → 2%
SAP Fieldglass2%78%36criticized challenger=heldSince September 2026: 2% → 2%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.2% → 2%Show the three products at 0%, ordered by negative rate
15
Beeline0%68%40criticized challenger▼−2Since September 2026: 2% → 0%, −2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.2% → 0%
Beeline0%68%40criticized challenger▼−2Since September 2026: 2% → 0%, −2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.2% → 0%13
Fiverr0%38%16criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 0%
Fiverr0%38%16criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 0%14
Toptal0%25%12criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 0%
Toptal0%25%12criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 0%The floor is 13 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.
All twenty-eight head-to-head pages: the top eight products, each against each
VectorVMS vs DeelVectorVMS vs WorksomeVectorVMS vs Conexis VMSVectorVMS vs MagnitWorksuite vs SimplifyVMSWorksuite vs BeelineWorksuite vs DeelWorksuite vs WorksomeWorksuite vs Conexis VMSWorksuite vs MagnitSimplifyVMS vs BeelineSimplifyVMS vs DeelSimplifyVMS vs WorksomeSimplifyVMS vs Conexis VMSSimplifyVMS vs MagnitBeeline vs DeelBeeline vs WorksomeBeeline vs Conexis VMSBeeline vs MagnitDeel vs WorksomeDeel vs Conexis VMSDeel vs MagnitWorksome vs Conexis VMSWorksome vs MagnitConexis VMS vs Magnit
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 →
010203040506070809101112131415Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative40%
Key
01VectorVMS26%
VectorVMS26%02SimpleVMS17%
SimpleVMS17%03Upwork11%
Upwork11%04Conexis VMS9%
Conexis VMS9%05TalentDesk.io6%
TalentDesk.io6%06Deel4%
Deel4%07Worksuite2%
Worksuite2%08Remote2%
Remote2%09SimplifyVMS2%
SimplifyVMS2%10Worksome2%
Worksome2%11Workday VNDLY2%
Workday VNDLY2%12SAP Fieldglass2%
SAP Fieldglass2%13Fiverr0%
Fiverr0%14Toptal0%
Toptal0%15Beeline0%
Beeline0%What they warned about
Zero of fourteen models held their first choice under the paraphrase. Claude Haiku 4.5, GPT-5.4 mini, Gemini 3.5 Flash, Perplexity Sonar, 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 Fieldglass78%
28 of 36 labels negative · 11 of 14 models · 19 hard negative
“You should generally avoid "Enterprise Vendor Management Systems" (like SAP Fieldglass or Oracle), as they involve complex, expensive implementations” Qwen 3.7 Flash, scale prompt
Beeline68%
27 of 40 labels negative · 11 of 14 models · 15 hard negative
“groups "SAP Fieldglass and Beeline" together: "steep implementation costs, complex integrations, and custom quotes that don't scale down economically for small teams"” Muse Glimmer 30B, negative prompt
Upwork33%
9 of 27 labels negative · 9 of 14 models · 1 hard negative
“it is often criticized for **high fees**... expensive due to costs of Connects” GLM 4.7 FlashX, negative prompt
Workday VNDLY59%
10 of 17 labels negative · 8 of 14 models · 5 hard negative
“not SAP Fieldglass or Workday VNDLY. Those platforms are built for enterprise scale and heavy services procurement and are priced and implemented accordingly.” Muse Glimmer 30B, direct 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
80 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. 1154 links across 275 sites, every framing counted. Ranked by the number of answers carrying the site or page. 26 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.
30 answers · 45 citations · 11 models
vendor site · G229 answers · 53 citations · 11 models
28 answers · 35 citations · 10 models
25 answers · 34 citations · 11 models
25 answers · 33 citations · 11 models
23 answers · 23 citations · 10 models
vendor site · G220 answers · 22 citations · 11 models
vendor site · Spendflo18 answers · 19 citations · 11 models
vendor site · TalentDesk16 answers · 22 citations · 9 models
vendor site · Worksuite16 answers · 20 citations · 9 models
vendor site · Beeline16 answers · 19 citations · 11 models
16 answers · 19 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.
23 answers · 10 models
20 answers · 9 models
18 answers · 11 models
18 answers · 9 models
17 answers · 10 models
16 answers · 10 models
16 answers · 10 models
15 answers · 8 models
14 answers · 10 models
12 answers · 8 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 vendor management system for contingent workers”, “contingent workforce platforms”, “vendor management system for contingent workers”. 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 |
|---|---|---|---|---|---|---|---|---|
| VectorVMS pixid.com | 26% | 60 | 390 | 13 | 117 | 7 | ||
| SimpleVMS simplevms.com | 17% | 26 | 2,900 | 0 | 3,199 | 0 | 2 | |
| Upwork upwork.com | 11% | 163 | 368,000 | 4,878 | 2,719,519 | $456 | 114 | |
| Conexis conexisvmssoftware.com Conexis VMS 9% | 9% | 30 | 50 | 0 | 1,153 company | 0 | 2 | |
| TalentDesk.io talentdesk.io | 6% | 23 | 20 | 0 | 2,384 | 40 | ||
| Deel deel.com | 4% | 526 | 40,500 | 1,210 | 307,175 | $330,608 | 118 | |
| Bonsai | 4% | 74,000 | 27,918 | |||||
| Worksuite worksuite.com | 2% | 59 | 880 | 5 | 8,941 | |||
| Remote remote.com | 2% | 213 | 110,000 | 426,655 | 766,598 | $15,858 | 88 | |
| SimplifyVMS simplifyvms.com | 2% | 50 | 210 | 6 | 995 | 5 |
Google's top ten for the three searches hold 22 sites; 1 of them are among the sites the models cited here (peoplemanagingpeople.com). The first result for “best vendor management system for contingent workers” is magnitglobal.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 vendor management system for contingent workers for a small B2B company?”Paraphrase“Which freelancer management platform would you recommend to a small business that sells to other businesses?”Comparative“What are the top contingent workforce platforms for a small team and how do they differ?”Budget-constrained“What is the best vendor management system for contingent workers for a small company with a tight budget?”Scale-constrained“We are a 30 person company evaluating a vendor management system for contingent workers. What should we look at?”Negative“Which contingent workforce platforms should a small business avoid or be cautious about?”
Claude Haiku 4.5Connecteam, Recruit CRMUpworkChangedTalentDesk.ioSimpleVMSno first choiceagainst: Arise Virtual Solutions, TaskRabbit, Upwork
Two alternatives
SAP Fieldglass, Workday VNDLYFour alternatives
Deel, Fiverr, Toptal, WorkMotionFive alternatives
Deel, Recruit CRM, Remote, Rippling, WorksuiteOne alternative
Deel HRGPT-5.4 miniSimpleVMSUpworkChangedBridge VMS, SimpleVMSSimpleVMSagainst: Beeline, Workday VNDLYno first choiceagainst: Agency Workforce Management, Deputy, VendorPM, Worksome
One alternative
SAP FieldglassOne alternative
DeelFour alternatives
Conexis VMS, SourceNow VMS, Worksome, YunoJunoOne alternative
AveryGemini 3.5 FlashTalentDesk.ioagainst: Beeline, Coupa Contingent Workforce, SAP FieldglassRemoteChangedGusto, RemoFirstagainst: SAP FieldglassSimpleVMSagainst: Beeline, Hubstaff, SAP Fieldglass, WorkComposer, Workday VNDLYDeelagainst: Beeline, Coupa Contingent Workforce, SAP Fieldglassagainst: Beeline, Coupa Contingent Workforce, Field Nation, Papaya Global, SAP Fieldglass, Toptal, Upwork, WorkMarket
Four alternatives
Conexis VMS, Deel, Rippling, WorksuiteThree alternatives
Deel, Gusto, WorksomeTwo alternatives
Deel, WorksuiteThree alternatives
Abillio, Deel, RemoteFour alternatives
Fiverr, Rippling, TalentDesk.io, WorksuitePerplexity SonarVectorVMSagainst: Workday VNDLYTalentDesk.ioChangedWorksome, WorksuiteVectorVMSagainst: Beelineno first choiceagainst: Avature VMS, Beeline, Coupa Contingent Workforce, Magnit, SAP Fieldglass, VectorVMS, Workday Contingent Worker
Two alternatives
Beeline, SAP FieldglassTwo alternatives
Plutio, UpworkFour alternatives
Conexis VMS, Instawork, Murmur, VectorVMSOne alternative
PrecoroGrok 4.1 FastVectorVMSagainst: Beeline, UpworkUpworkChangedagainst: Fiverr, Freelancer.com, TalentDesk.io, Toptal, WorksuiteFiverr, Upworkagainst: Beeline, Magnit, VectorVMSVectorVMSagainst: BeelineVectorVMSagainst: SAP Fieldglassagainst: Beeline, Freelancer.com, SAP Fieldglass, WorkMarket
Two alternatives
Field Nation, WorksuiteThree alternatives
Freelancer.com, Guru, ToptalFour alternatives
Conexis VMS, Ramp, SimplifyVMS, WorksomeFour alternatives
Beeline, Harte Hanks, SimplifyVMS, UpworkMistral SmallVectorVMSagainst: SAP FieldglassTalentDesk.ioChangedFiverr, Upworkagainst: SAP FieldglassVectorVMSno first choicenothing named
Two alternatives
Beeline, Workday VNDLYOne alternative
GustoThree alternatives
SimpleVMS, TalentDesk.io, ToptalThree alternatives
Field Nation, Spendflo, Workday VNDLYDeepSeek V4 FlashSimpleVMSagainst: Beeline, SAP Fieldglass, Workday VNDLYWorksuiteChangedagainst: ToptalFiverr, UpworkConexis VMSagainst: Beeline, SAP Fieldglass, VectorVMS, Workday VNDLYConexis VMSagainst: Beeline, SAP Fieldglass, Workday VNDLYagainst: 99designs, Contra, Fiverr, Freelancer.com, Upwork
One alternative
VectorVMSTwo alternatives
TalentDesk.io, UpworkThree alternatives
Bubty, Toptal, WorksuiteFour alternatives
Deel, Remote, SimpleVMS, Zoho PeopleSeven alternatives
Deel, Magnit, SimplifyVMS, Transformify, VectorVMS, Worksome, WorksuiteLlama 4 MaverickSAP Fieldglass, VectorVMS, Workday VNDLYUpworkChangedno first choiceField Nationno first choicenothing named
Two alternatives
Gusto, WorksuiteOne alternative
VennThree alternatives
SAP Fieldglass, VectorVMS, Workday VNDLYQwen 3.7 FlashVectorVMSagainst: Beeline, SAP Fieldglass, SimplifyVMSPlutioChangedYunoJunoWorksomeagainst: SAP Fieldglass, Workday VNDLYGusto, Ripplingagainst: Oracle, SAP Fieldglassagainst: Beeline, Fiverr, Magnit, Oracle Procurement Cloud, SAP Fieldglass, Upwork
Four alternatives
Deel, Field Nation, Remote, WorksuiteThree alternatives
Paymo, Productive.io, WorkMotionFour alternatives
Deel, Indy, Plutio, WandThree alternatives
Connecteam, QuickBooks Online, RampFive alternatives
Beeline, Connecteam, Contractfire, Jobber, VectorVMSKimi K2Conexis VMS, SimpleVMSagainst: Beeline, SAP FieldglassBonsaiChangedFiverr, UpworkSimpleVMSno first choiceagainst: Beeline, Fiverr, PeoplePerHour, SAP Fieldglass, Upwork
Three alternatives
Shortlist, SimplifyVMS, VectorVMSTwo alternatives
Deel Contractor, DubsadoFive alternatives
Deel, Gusto, Pilot, Remote, ToptalTwo alternatives
Conexis VMS, TalentDesk.ioGLM 4.7 FlashXSimpleVMSagainst: Beeline, SAP Fieldglass, Workday HCMBonsaiChangedagainst: AsanaBeeline, Fiverr, Upworkagainst: SAP FieldglassVectorVMSagainst: Precorono first choiceagainst: Deel, Papaya Global, SAP Fieldglass, Upwork, WorkMarket, Workday HCM, Worksome, symplr Contingent Talent Management
Two alternatives
Deel, MagnitFour alternatives
Agiled, HoneyBook, Plutio, UpworkFive alternatives
Conexis VMS, Deel, SimpleVMS, Toptal, VectorVMSTwo alternatives
Field Nation, SimplifyVMSMiniMax M2.5SimplifyVMS, VectorVMSagainst: Beeline, SAP Fieldglass, Workday VNDLYUpworkChangedTalentDesk.io, WorksuiteVectorVMSno first choiceagainst: Beeline, Fiverr, Freelancer.com, SAP Fieldglass, TCWGlobal, Upwork, WorkMarket, Workday VMS
Four alternatives
Bonsai, Fiverr, Toptal, WorkMotionFive alternatives
Bonsai, Connecteam, Deputy, Plutio, When I WorkTwo alternatives
ProcurementExpress.com, SimpleVMSGPT-6 LunaSimpleVMSagainst: BeelineUpworkChangedDeel, RemoteConexis VMSno first choiceagainst: Beeline, SAP Fieldglass, Workday VNDLY
One alternative
WorksuiteOne alternative
DeelTwo alternatives
Worksome, WorksuiteOne alternative
BeelineMuse Glimmer 30BVectorVMSagainst: Precoro, Ramp, SAP Fieldglass, Workday VNDLYDeelChangedDeel, Papaya Globalagainst: Beeline, Magnit, SAP FieldglassConexis VMS, VectorVMSagainst: Precoro, QuickBooks Onlineno first choiceagainst: Beelineagainst: Beeline, Fiverr, Papaya Global, SAP Fieldglass, Upwork, Verity
Two alternatives
Beeline, SimplifyVMSOne alternative
WorksuiteFive alternatives
Fiverr, Oyster, Toptal, Upwork, WorkMarketTwo alternatives
SimplifyVMS, VectorVMSBold 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 10:51 | yes | 18 | 8 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 10:36 | yes | 3 | 4 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 08:20 | yes | 28 | 21 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-10-01 11:58 | yes | 20 | 4 s |
| Direct recommendation | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 11:19 | yes | 22 | 8 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 09:14 | yes | 5 | 5 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 10:37 | yes | 22 | 29 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 10:26 | yes | 5 | 1 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 11:59 | yes | 14 | 45 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 08:34 | yes | 10 | 23 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 08:27 | yes | 19 | 50 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 09:58 | yes | 5 | 20 s |
| Direct recommendation | GPT-6 Luna | gpt-6-luna | 2026-10-01 09:25 | yes | 3 | 13 s |
| Direct recommendation | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 08:52 | yes | 20 | 27 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 08:33 | yes | 10 | 6 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 08:45 | yes | 4 | 4 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 09:59 | yes | 10 | 23 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-10-01 08:08 | yes | 17 | 3 s |
| Paraphrase | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 09:54 | yes | 24 | 6 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 12:06 | yes | 13 | 6 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 09:07 | yes | 21 | 28 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 08:11 | yes | 5 | 2 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 10:01 | yes | 5 | 33 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 08:36 | yes | 10 | 29 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 07:30 | yes | 20 | 42 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 10:16 | yes | 5 | 29 s |
| Paraphrase | GPT-6 Luna | gpt-6-luna | 2026-10-01 07:59 | yes | 2 | 18 s |
| Paraphrase | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 08:45 | yes | 23 | 32 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 08:04 | yes | 9 | 8 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 09:21 | yes | 7 | 8 s |
| Comparative | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 11:20 | yes | 24 | 32 s |
| Comparative | Perplexity Sonar | sonar | 2026-10-01 12:04 | yes | 18 | 6 s |
| Comparative | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 10:37 | yes | 23 | 10 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 12:03 | yes | 19 | 11 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 10:54 | yes | 24 | 43 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 10:00 | yes | 5 | 2 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 08:47 | yes | 15 | 42 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 12:10 | yes | 21 | 33 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 09:49 | yes | 15 | 49 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 10:35 | yes | 21 | 30 s |
| Comparative | GPT-6 Luna | gpt-6-luna | 2026-10-01 09:26 | yes | 5 | 25 s |
| Comparative | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 10:02 | yes | 15 | 38 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 09:41 | yes | 17 | 7 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 10:29 | yes | 4 | 5 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 07:37 | yes | 19 | 26 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-10-01 08:12 | yes | 18 | 4 s |
| Budget constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 07:59 | yes | 20 | 10 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 07:51 | yes | 5 | 3 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 08:50 | yes | 24 | 35 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 08:31 | yes | 5 | 2 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 11:20 | yes | 20 | 86 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 08:24 | yes | 24 | 24 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 08:41 | yes | 23 | 27 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 10:08 | yes | 9 | 22 s |
| Budget constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 07:37 | yes | 2 | 22 s |
| Budget constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 11:25 | yes | 21 | 37 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 09:24 | no | 0 | 5 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 10:26 | no | 0 | 5 s |
| Scale constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 08:24 | yes | 7 | 23 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-10-01 09:48 | yes | 24 | 8 s |
| Scale constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 08:13 | yes | 13 | 8 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 09:45 | no | 0 | 8 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 08:22 | yes | 23 | 34 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 10:31 | yes | 5 | 3 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 10:06 | yes | 14 | 54 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 11:22 | yes | 15 | 19 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 10:52 | yes | 14 | 21 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 10:06 | no | 0 | 19 s |
| Scale constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 08:05 | yes | 3 | 30 s |
| Scale constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 10:53 | yes | 15 | 23 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 10:01 | yes | 27 | 19 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 07:59 | yes | 5 | 7 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 08:24 | yes | 14 | 26 s |
| Negative framing | Perplexity Sonar | sonar | 2026-10-01 10:21 | yes | 15 | 4 s |
| Negative framing | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 07:55 | yes | 22 | 8 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 10:15 | yes | 5 | 3 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 09:05 | yes | 24 | 39 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 10:30 | yes | 5 | 4 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 10:28 | yes | 10 | 76 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 08:30 | yes | 25 | 30 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 11:26 | yes | 22 | 35 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 09:09 | yes | 25 | 30 s |
| Negative framing | GPT-6 Luna | gpt-6-luna | 2026-10-01 10:26 | yes | 4 | 19 s |
| Negative framing | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 07:53 | yes | 23 | 37 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
Conexis read as Conexis VMS
Coupa read as Coupa Contingent Workforce
QuickBooks read as QuickBooks Online
Symplr read as symplr Contingent Talent Management
TalentDesk read as TalentDesk.io
Unresolved, counted raw
Agency Workforce Management
Avery
CAD Crowd
CloudEagle
Contractfire
Harte Hanks
Indy
Murmur
Oracle Procurement Cloud
ProcurementExpress.com
TCWGlobal
Upwork for Teams
VendorPM
Verity
Workday Contingent Worker
Workday VMS
oboloo
Discontinued, still offered
No shut-down product was recommended here.