Contingent workforce management
Asked as “vendor management system for contingent workers”, and as “freelancer management platform”, on behalf of a mid-market B2B company. 57 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each.
Standing · first-choice share
16%
Contested · Worksuite 14%
16VectorVMS14Worksuite12SimplifyVMS58others
16% of first choices, contested.
Since September 2026↗new leaderNew leader since September 2026: VectorVMS (16%) replaces SimpleVMS (35% then, 4% now), 12 points clear, inside the 13-point floor.VectorVMS leads at 16%, replacing SimpleVMS, which led at 35% and stands at 4% now: 12 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.Standing →Mid-marketVectorVMS16%Contested↗new leaderNew leader since September 2026: VectorVMS (16%) replaces SimpleVMS (35% then, 4% now), 12 points clear, inside the 13-point floor.This pageEnterprise
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.Standing →Mid-marketVectorVMS16%Contested↗new leaderNew leader since September 2026: VectorVMS (16%) replaces SimpleVMS (35% then, 4% now), 12 points clear, inside the 13-point floor.This pageEnterpriseSAP 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 mid-market B2B company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrantSince September 2026
01VectorVMS16%4%23accepted challenger▲+14Since September 2026: 2% → 16%, +14 points. Past the 13-point floor: movement. Read over the models both editions asked.2% → 16%
VectorVMS16%4%23accepted challenger▲+14Since September 2026: 2% → 16%, +14 points. Past the 13-point floor: movement. Read over the models both editions asked.2% → 16%02
Worksuite14%0%27accepted challenger▲+1Since September 2026: 11% → 12%, +1 point. Inside the 13-point floor: within noise. Read over the models both editions asked.11% → 12%
Worksuite14%0%27accepted challenger▲+1Since September 2026: 11% → 12%, +1 point. Inside the 13-point floor: within noise. Read over the models both editions asked.11% → 12%03
SimplifyVMS12%0%23accepted challenger▲+10Since September 2026: 2% → 12%, +10 points. Inside the 13-point floor: within noise. Read over the models both editions asked.2% → 12%
SimplifyVMS12%0%23accepted challenger▲+10Since September 2026: 2% → 12%, +10 points. Inside the 13-point floor: within noise. Read over the models both editions asked.2% → 12%04
Beeline9%40%48criticized challenger▲+4Since September 2026: 2% → 6%, +4 points. Inside the 13-point floor: within noise. Read over the models both editions asked.2% → 6%
Beeline9%40%48criticized challenger▲+4Since September 2026: 2% → 6%, +4 points. Inside the 13-point floor: within noise. Read over the models both editions asked.2% → 6%05
Deel7%11%18accepted challenger▼−1Since September 2026: 9% → 8%, −1 point. Inside the 13-point floor: within noise. Read over the models both editions asked.9% → 8%
Deel7%11%18accepted challenger▼−1Since September 2026: 9% → 8%, −1 point. Inside the 13-point floor: within noise. Read over the models both editions asked.9% → 8%06
Worksome7%6%17accepted challenger▲+2Since September 2026: 4% → 6%, +2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.4% → 6%
Worksome7%6%17accepted challenger▲+2Since September 2026: 4% → 6%, +2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.4% → 6%07
Conexis VMS7%0%15accepted challenger▲+2Since September 2026: 7% → 8%, +2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.7% → 8%
Conexis VMS7%0%15accepted challenger▲+2Since September 2026: 7% → 8%, +2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.7% → 8%08
Magnit5%24%21accepted challenger▲+4Since September 2026: 2% → 6%, +4 points. Inside the 13-point floor: within noise. Read over the models both editions asked.2% → 6%
Magnit5%24%21accepted challenger▲+4Since September 2026: 2% → 6%, +4 points. Inside the 13-point floor: within noise. Read over the models both editions asked.2% → 6%09
Workday VNDLY2%23%26accepted challenger=heldSince September 2026: 2% → 2%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.2% → 2%
Workday VNDLY2%23%26accepted 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
Upwork2%30%23criticized challenger=heldSince September 2026: 2% → 2%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.2% → 2%
Upwork2%30%23criticized challenger=heldSince September 2026: 2% → 2%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.2% → 2%11SAP Fieldglass2%57%44criticized 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%57%44criticized 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 one product at 0%, ordered by negative rate
12
Fiverr0%27%15criticized challenger▼−4Since September 2026: 4% → 0%, −4 points. Inside the 13-point floor: within noise. Read over the models both editions asked.4% → 0%
Fiverr0%27%15criticized challenger▼−4Since September 2026: 4% → 0%, −4 points. Inside the 13-point floor: within noise. Read over the models both editions asked.4% → 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 →
010203040506070809101112Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative30%
Key
01VectorVMS16%
VectorVMS16%02Worksuite14%
Worksuite14%03SimplifyVMS12%
SimplifyVMS12%04Beeline9%
Beeline9%05Deel7%
Deel7%06Worksome7%
Worksome7%07Conexis VMS7%
Conexis VMS7%08Magnit5%
Magnit5%09Workday VNDLY2%
Workday VNDLY2%10Upwork2%
Upwork2%11SAP Fieldglass2%
SAP Fieldglass2%12Fiverr0%
Fiverr0%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, Perplexity Sonar, Grok 4.1 Fast, Mistral Small, DeepSeek V4 Flash, 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 Fieldglass57%
25 of 44 labels negative · 11 of 14 models · 6 hard negative
“traditional enterprise solutions (like SAP Fieldglass, Beeline, or Workday VNDLY) are usually not viable options” Gemini 3.5 Flash, budget prompt
Beeline40%
19 of 48 labels negative · 8 of 14 models · 5 hard negative
“legacy VMS platforms are notoriously slow and difficult to navigate... Avoid if: Your organization has fewer than 500 contingent workers” Gemini 3.5 Flash, negative prompt
Upwork30%
7 of 23 labels negative · 6 of 14 models · 3 hard negative
“Platforms to Avoid Entirely for Enterprise Use:** - **Upwork, Fiverr, Toptal** – These platforms are generally not recommended for core enterprise workforce needs.” Mistral Small, negative prompt
Workday VNDLY23%
6 of 26 labels negative · 6 of 14 models · 2 hard negative
“traditional enterprise solutions (like SAP Fieldglass, Beeline, or Workday VNDLY) are usually not viable options” Gemini 3.5 Flash, budget 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. 1076 links across 259 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.
32 answers · 54 citations · 11 models
31 answers · 34 citations · 11 models
26 answers · 52 citations · 10 models
25 answers · 25 citations · 11 models
vendor site · G222 answers · 42 citations · 10 models
21 answers · 43 citations · 8 models
vendor site · G221 answers · 22 citations · 11 models
vendor site · TalentDesk20 answers · 24 citations · 9 models
vendor site · Beeline18 answers · 25 citations · 12 models
17 answers · 21 citations · 8 models
vendor site · Spendflo16 answers · 21 citations · 11 models
vendor site · Ramp16 answers · 17 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.
26 answers · 11 models
25 answers · 11 models
16 answers · 9 models
16 answers · 10 models
15 answers · 9 models
14 answers · 8 models
14 answers · 10 models
13 answers · 8 models
12 answers · 10 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 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 | 16% | 60 | 390 | 13 | 117 | 7 | ||
| Worksuite worksuite.com | 14% | 59 | 880 | 5 | 8,941 | |||
| SimplifyVMS simplifyvms.com | 12% | 50 | 210 | 6 | 995 | 5 | ||
| Beeline beeline.com | 9% | 145 | 27,100 | 1,443 | 19,910 | $53 | 5 | 4 |
| Deel deel.com Deel 7%, Deel HR 2% | 9% | 526 | 40,500 | 1,210 | 307,175 | $330,608 | 118 | |
| Worksome worksome.com | 7% | 40 | 880 | 7 | 1,226 | 24 | ||
| Conexis conexisvmssoftware.com Conexis VMS 7% | 7% | 30 | 50 | 0 | 1,153 company | 0 | 2 | |
| Magnit magnitglobal.com | 5% | 59 | 9,900 | 827 | 13,893 | 0 | 1 | |
| SimpleVMS simplevms.com | 5% | 26 | 2,900 | 0 | 3,199 | 0 | 2 | |
| TalentDesk.io talentdesk.io | 4% | 23 | 20 | 0 | 2,384 | 40 |
Google's top ten for the three searches hold 22 sites; 2 of them are among the sites the models cited here (peoplemanagingpeople.com, ramp.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 mid-market B2B company?”Paraphrase“Which freelancer management platform would you recommend to a mid-sized B2B company?”Comparative“What are the top contingent workforce platforms and how do they differ?”Budget-constrained“What is the best vendor management system for contingent workers for a company with a limited budget?”Scale-constrained“We are a 500 person company evaluating a vendor management system for contingent workers. What should we look at?”Negative“Which contingent workforce platforms should I avoid or be cautious about?”
Claude Haiku 4.5Worksuiteagainst: Beeline, SAP FieldglassTalentDesk.io, WorksomeChangedno first choiceSimpleVMSno first choiceagainst: Amazon, DoorDash, Grubhub, Handy, Instacart, Instawork, Lyft, Postmates, Qwick, Tend, Uber
Two alternatives
Beeline, SimpleVMSTwo alternatives
Deel HR, UpworkFour alternatives
Remote, Rippling, TalentDesk.io, WorksuiteThree alternatives
Beeline, Bridge VMS, Conexis VMSGPT-5.4 miniBeelineWorksomeChangedno first choiceVendorappagainst: symplr Contingent Talent Managementno first choiceagainst: ISNetworld, SAP Fieldglass, VectorVMS, symplr Contingent Talent Management
Three alternatives
Conexis VMS, SAP Fieldglass, SourceNowOne alternative
DeelOne alternative
SimpleVMSGemini 3.5 FlashVectorVMSagainst: Beeline, SAP FieldglassWorksuiteChangedno first choiceConexis VMSagainst: Beeline, SAP Fieldglass, Workday VNDLYConexis VMS, TalentDesk.io, Worksuiteagainst: Beeline, SAP Fieldglassagainst: Beeline, Deel, Field Nation, Fiverr, Freelancer.com, Papaya Global, Remote, SAP Fieldglass, Upwork, WorkMarket
Three alternatives
Conexis VMS, Workday VNDLY, WorksuiteFour alternatives
Bubty, Deel Contractor, TalentDesk.io, WorksomeEleven alternatives
Beeline, Deel, Fiverr, Magnit, Papaya Global, SAP Fieldglass, Upwork, WorkMarket, Workday VNDLY, Worksome, WorksuiteThree alternatives
Deel, StaffingNation, TalentDesk.ioFour alternatives
Deel, Oyster, Rippling, Workday VNDLYPerplexity SonarWorkday VNDLYYunoJunoChangedno first choiceVectorVMSagainst: Connecteamno first choicenothing named
One alternative
BeelineOne alternative
WorksomeOne alternative
PrecoroGrok 4.1 FastMagnitagainst: Beeline, SAP Fieldglass, UpworkUpworkChangedBeeline, SAP FieldglassConexis VMSagainst: Beeline, SAP Fieldglassno first choiceagainst: SAP Fieldglassagainst: Beeline, Fiverr, Freelancer.com, SAP Fieldglass, Upwork, Workday VNDLY
Four alternatives
Conexis VMS, SimpleVMS, SimplifyVMS, WorksuiteFive alternatives
Deel, Fiverr, Remote, Toptal, WorksuiteThree alternatives
Deel, Upwork, Workforce LogiqOne alternative
SimpleVMSFour alternatives
Beeline, Conexis VMS, Vector VMS, Workday Contingent WorkforceMistral SmallSAP FieldglassDeelChangedno first choiceVectorVMSagainst: Beeline, SAP Fieldglass, Workday VNDLYno first choiceagainst: Beeline, Fiverr, SAP Fieldglass, Toptal, Upwork
Two alternatives
SimplifyVMS, Workday VNDLYThree alternatives
Fiverr, Upwork, WorkMarketOne alternative
Pontoon SolutionsOne alternative
Field NationDeepSeek V4 FlashVectorVMSagainst: Beeline, MagnitDeelChangedBeeline, SAP Fieldglassagainst: MagnitConexis VMSagainst: Beeline, Magnit, SAP Fieldglass, Workday VNDLYMagnit, SimplifyVMS, VectorVMSagainst: Beeline, SAP Fieldglassagainst: Fiverr, Freelancer.com, Upwork
Three alternatives
SimpleVMS, SimplifyVMS, WorksuiteOne alternative
WorksomeThree alternatives
Deel, SimplifyVMS, Workday VNDLYThree alternatives
Field Nation, SimpleVMS, VectorVMSOne alternative
Workday VNDLYLlama 4 Maverickno first choiceno first choiceHeldno first choiceField Nationno first choicenothing named
Three alternatives
Beeline, SimplifyVMS, VectorVMSQwen 3.7 FlashSimplifyVMSagainst: SAP, ServiceNowWorksuiteChangedno first choiceSimplifyVMS, StaffingCorneragainst: SAP FieldglassBeeline, Magnit, SimplifyVMSagainst: SAP Fieldglassagainst: Adecco Group, Ceridian Brassring, ManpowerGroup, Randstad, SAP Fieldglass
Two alternatives
Magnit, VectorVMSOne alternative
Deel HireSix alternatives
Adecco Group, ManpowerGroup, Plutox, Randstad, Sapling Solutions, VeritingaOne alternative
VectorVMSFive alternatives
ADP Flex, Contra, TalentDesk.io, Upwork, Workday VNDLYKimi K2Beelineagainst: Beeline, SAP FieldglassDeel, WorksomeChangedBeeline, SAP FieldglassSimpleVMSagainst: Beeline, Magnit, SAP Fieldglass, Workday VNDLYno first choiceagainst: Arise Virtual Solutions, Freelancer.com, Handy Technologies / Angi Services, Upwork
Three alternatives
SimplifyVMS, VectorVMS, Workday VNDLYTwo alternatives
Fiverr, TalentDesk.ioFour alternatives
Deel, Magnit, Remote, Workday VNDLYFour alternatives
Concord, Harvest, Ironclad, Toggl TrackOne alternative
Conexis VMSGLM 4.7 FlashXVectorVMSagainst: Beeline, SAP FieldglassDeelChangedWorksomeVectorVMSno first choiceagainst: Deel, Papaya Global, SAP Fieldglass, WorkMarket, Workday VNDLY
Three alternatives
Magnit, SimplifyVMS, Workday VNDLYOne alternative
FiverrSeven alternatives
Beeline, Conexis VMS, Coupa Contingent Workforce, Deel HR, SAP Fieldglass, Wand, Workday VNDLYTwo alternatives
Bridge VMS, SimplifyVMSMiniMax M2.5SimplifyVMS, WorksuiteWorksuiteChangedMagnit, SAP Fieldglassagainst: UpworkDeel HR, VectorVMSSimplifyVMSagainst: Magnit, WorkMarket, Worksome
Two alternatives
Remote, UpworkFour alternatives
Beeline, Deel, Ivalua, WorkdayThree alternatives
Ramp, SimplifyVMS, WorksomeSix alternatives
Beeline, Coupa Contingent Workforce, Magnit, Ramp, VectorVMS, Workday VNDLYGPT-6 LunaBeelineagainst: SAP FieldglassWorksuiteChangedSAP Fieldglass, Workday VNDLYBeelineno first choicenothing named
Two alternatives
Workday VNDLY, WorksuiteOne alternative
RemoteThree alternatives
Beeline, Magnit, VectorVMSOne alternative
WorksuiteMuse Glimmer 30BSimpleVMS, SimplifyVMSagainst: Beeline, IQNavigator, SAP FieldglassWorksome, WorksuiteChangedSAP FieldglassVectorVMSagainst: Beeline, SAP Fieldglassno first choiceagainst: Beeline, CareRev, Clipboard Health, Gigpro, Instawork, SAP Fieldglass, ShiftKey, ShiftMed
Three alternatives
Beeline, Worksome VMS, WorksuiteThree alternatives
Deel, Fiverr, UpworkThree alternatives
Beeline, Coupa Contingent Workforce, IQNavigatorTwo alternatives
Conexis VMS, SimplifyVMSBold 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 10:46 | yes | 18 | 9 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 11:19 | yes | 5 | 8 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 09:03 | yes | 16 | 26 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-10-01 08:44 | yes | 19 | 3 s |
| Direct recommendation | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 08:56 | yes | 22 | 17 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 08:19 | yes | 5 | 3 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 08:09 | yes | 20 | 29 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 11:00 | yes | 7 | 6 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 09:07 | yes | 5 | 19 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 09:27 | yes | 19 | 31 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 12:02 | yes | 16 | 87 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 10:52 | yes | 5 | 22 s |
| Direct recommendation | GPT-6 Luna | gpt-6-luna | 2026-10-01 07:54 | yes | 4 | 27 s |
| Direct recommendation | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 11:58 | yes | 21 | 25 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 11:05 | yes | 9 | 8 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 09:54 | yes | 2 | 5 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 08:01 | yes | 10 | 23 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-10-01 11:05 | yes | 15 | 3 s |
| Paraphrase | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 09:42 | yes | 24 | 8 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 11:03 | yes | 12 | 8 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 08:39 | yes | 20 | 21 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 10:55 | yes | 5 | 2 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 11:00 | yes | 9 | 25 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 09:18 | yes | 9 | 25 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 11:52 | yes | 19 | 86 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 09:23 | yes | 9 | 17 s |
| Paraphrase | GPT-6 Luna | gpt-6-luna | 2026-10-01 10:34 | yes | 2 | 13 s |
| Paraphrase | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 08:01 | yes | 13 | 24 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 08:00 | yes | 9 | 8 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 10:02 | yes | 6 | 10 s |
| Comparative | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 10:35 | yes | 19 | 25 s |
| Comparative | Perplexity Sonar | sonar | 2026-10-01 08:57 | yes | 17 | 6 s |
| Comparative | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 09:55 | yes | 16 | 9 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 09:02 | yes | 5 | 7 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 11:34 | yes | 20 | 46 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 09:52 | yes | 5 | 2 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 10:56 | no | 0 | 45 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 08:16 | yes | 23 | 25 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 09:49 | yes | 24 | 41 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 11:59 | yes | 14 | 22 s |
| Comparative | GPT-6 Luna | gpt-6-luna | 2026-10-01 10:50 | yes | 6 | 21 s |
| Comparative | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 08:27 | yes | 23 | 51 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 08:44 | yes | 17 | 7 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 08:29 | yes | 4 | 5 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 09:39 | yes | 28 | 19 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-10-01 10:58 | yes | 15 | 3 s |
| Budget constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 11:10 | yes | 22 | 9 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 07:49 | yes | 5 | 3 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 07:51 | yes | 23 | 33 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 09:18 | yes | 5 | 2 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 11:28 | yes | 23 | 64 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 12:03 | yes | 19 | 35 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 11:07 | yes | 13 | 103 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 11:29 | yes | 14 | 24 s |
| Budget constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 09:47 | yes | 3 | 17 s |
| Budget constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 08:15 | yes | 24 | 31 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 11:15 | no | 0 | 7 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 07:45 | no | 0 | 8 s |
| Scale constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 08:29 | yes | 10 | 28 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-10-01 10:15 | yes | 14 | 5 s |
| Scale constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 10:38 | yes | 19 | 9 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 11:39 | no | 0 | 8 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 11:57 | yes | 23 | 34 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 11:32 | yes | 5 | 3 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 12:02 | yes | 14 | 41 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 11:00 | yes | 10 | 18 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 10:10 | yes | 14 | 26 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 11:17 | yes | 5 | 21 s |
| Scale constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 12:09 | yes | 2 | 19 s |
| Scale constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 09:23 | yes | 14 | 21 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 08:36 | yes | 18 | 7 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 11:19 | yes | 4 | 8 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 11:25 | yes | 13 | 20 s |
| Negative framing | Perplexity Sonar | sonar | 2026-10-01 07:29 | yes | 15 | 2 s |
| Negative framing | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 08:30 | yes | 22 | 10 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 09:44 | yes | 5 | 4 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 10:16 | yes | 25 | 31 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 08:55 | yes | 5 | 2 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 08:55 | no | 0 | 31 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 10:31 | yes | 24 | 27 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 10:49 | yes | 25 | 84 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 08:52 | yes | 23 | 28 s |
| Negative framing | GPT-6 Luna | gpt-6-luna | 2026-10-01 09:34 | yes | 0 | 16 s |
| Negative framing | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 10:22 | yes | 25 | 32 s |
Noise floor in this category
Flips between the edition run and its calibration repeat. Six prompts per model is a small sample; the index-wide floor is the number to trust.
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Claude Haiku 4.5
3 of 3 flipped
GPT-5.4 mini
1 of 3 flipped
Gemini 3.5 Flash
2 of 4 flipped
Perplexity Sonar
1 of 4 flipped
Grok 4.1 Fast
4 of 5 flipped
Mistral Small
4 of 4 flipped
DeepSeek V4 Flash
5 of 5 flipped
Llama 4 Maverick
3 of 3 flipped
Qwen 3.7 Flash
4 of 4 flipped
Kimi K2
5 of 6 flipped
GLM 4.7 FlashX
4 of 4 flipped
MiniMax M2.5
4 of 5 flipped
GPT-6 Luna
3 of 4 flipped
Muse Glimmer 30B
2 of 4 flipped
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
Avature read as Avature VMS
Conexis read as Conexis VMS
Coupa read as Coupa Contingent Workforce
QuickBooks read as QuickBooks Online
TalentDesk read as TalentDesk.io
Unresolved, counted raw
ADP FlexJobs / Workforce Compliance
Advantage Workforce Services LLC
CEIPAL
CareRev
Ceridian Brassring
Clipboard Health
CloudSourcing
Comet
Concord
Contraction
Coupa Vendor Manager One
Gigpro
Handy (now Angi Services)
Handy Technologies / Angi Services
ISNetworld
Ironclad
Medefis
MyGig
Odin
Plutox
Postmates
ProUnite
Sapling Solutions
ShiftKey
ShiftMed
ShiftWise/Flex
SourceNow
StaffingCorner
StaffingNation (by TCWGlobal)
Summa Workforce
TAPFIN
Tend
Vector VMS
Vendorapp
Veritinga (formerly Accruent)
Workforce Logic
Worksome VMS
Discontinued, still offered
No shut-down product was recommended here.