Index › Workforce planning and analytics › Contingent workforce man › Enterprise › October 2026 Edition
Contingent workforce management for enterprise buyers
Asked as “vendor management system for contingent workers”, and as “freelancer management platform”, on behalf of an enterprise B2B company. 59 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each.
Standing · first-choice share
42%
Clear leader
42SAP Fieldglass17Beeline07WorkMarket34others
42% of first choices, clear leader.
Since September 2026▲+2Since September 2026: 39% → 41%, +2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.SAP Fieldglass held the lead, +2 points on 39%, inside the 13-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
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.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.This page
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.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.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 Fieldglass42%18%61endorsed leader▲+2Since September 2026: 39% → 41%, +2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.39% → 41%
SAP Fieldglass42%18%61endorsed leader▲+2Since September 2026: 39% → 41%, +2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.39% → 41%02
Beeline17%18%55accepted challenger▼−4Since September 2026: 18% → 14%, −4 points. Inside the 13-point floor: within noise. Read over the models both editions asked.18% → 14%
Beeline17%18%55accepted challenger▼−4Since September 2026: 18% → 14%, −4 points. Inside the 13-point floor: within noise. Read over the models both editions asked.18% → 14%03
Workday VNDLY7%6%36accepted challenger▲+1Since September 2026: 7% → 8%, +1 point. Inside the 13-point floor: within noise. Read over the models both editions asked.7% → 8%
Workday VNDLY7%6%36accepted challenger▲+1Since September 2026: 7% → 8%, +1 point. Inside the 13-point floor: within noise. Read over the models both editions asked.7% → 8%04
Worksuite7%0%13accepted challenger▲+1Since September 2026: 7% → 8%, +1 point. Inside the 13-point floor: within noise. Read over the models both editions asked.7% → 8%
Worksuite7%0%13accepted challenger▲+1Since September 2026: 7% → 8%, +1 point. Inside the 13-point floor: within noise. Read over the models both editions asked.7% → 8%05
Magnit5%6%31accepted challenger▲+2Since September 2026: 2% → 4%, +2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.2% → 4%
Magnit5%6%31accepted challenger▲+2Since September 2026: 2% → 4%, +2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.2% → 4%06
SimplifyVMS5%6%16accepted challenger▲+2Since September 2026: 4% → 6%, +2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.4% → 6%
SimplifyVMS5%6%16accepted 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
Upwork3%52%23criticized challenger▼−1Since September 2026: 5% → 4%, −1 point. Inside the 13-point floor: within noise. Read over the models both editions asked.5% → 4%
Upwork3%52%23criticized challenger▼−1Since September 2026: 5% → 4%, −1 point. Inside the 13-point floor: within noise. Read over the models both editions asked.5% → 4%08
Fiverr2%53%17criticized challenger=heldSince September 2026: 2% → 2%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.2% → 2%
Fiverr2%53%17criticized 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 two products at 0%, ordered by negative rate
10
Deel0%10%10accepted challenger▼−2Since September 2026: 2% → 0%, −2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.2% → 0%
Deel0%10%10accepted challenger▼−2Since September 2026: 2% → 0%, −2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.2% → 0%09
Coupa Contingent Workforce0%8%13accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 0%
Coupa Contingent Workforce0%8%13accepted 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 →
01020304050607080910Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative60%
Key
01SAP Fieldglass42%
SAP Fieldglass42%02Beeline17%
Beeline17%03Workday VNDLY7%
Workday VNDLY7%04Worksuite7%
Worksuite7%05Magnit5%
Magnit5%06SimplifyVMS5%
SimplifyVMS5%07Upwork3%
Upwork3%08Fiverr2%
Fiverr2%09Coupa Contingent Workforce0%
Coupa Contingent Workforce0%10Deel0%
Deel0%What they warned about
Two 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, GLM 4.7 FlashX, MiniMax M2.5 and GPT-6 Luna changed. A high negative share on a product with few labels is a warning. A low share on a product with many labels is salience, not sentiment.
Beeline18%
10 of 55 labels negative · 10 of 14 models
“Beeline during the MBO Partners integration... I'd ask for specific commitments on product roadmap, support ownership, integrations, data migration” GPT-6 Luna, negative prompt
SAP Fieldglass18%
11 of 61 labels negative · 10 of 14 models
“**Caveat**: Uses **quote-only, volume-based pricing** tied to your spend under management. This makes total cost *less predictable*” Kimi K2, budget prompt
Fiverr53%
9 of 17 labels negative · 9 of 14 models · 8 hard negative
“Explicitly noted for having "heavy IP transfer" issues and security gaps that make it unsuitable for managing a secure corporate contingent workforce.” Qwen 3.7 Flash, negative prompt
Upwork52%
12 of 23 labels negative · 9 of 14 models · 8 hard negative
“Primarily a marketplace model that lacks the automated workflow, compliance auditing, and spend management controls required by large corporations.” Qwen 3.7 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
81 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. 1181 links across 302 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.
35 answers · 35 citations · 11 models
vendor site · Beeline27 answers · 41 citations · 13 models
26 answers · 29 citations · 11 models
25 answers · 49 citations · 10 models
vendor site · TalentDesk24 answers · 26 citations · 12 models
22 answers · 25 citations · 8 models
vendor site · G222 answers · 23 citations · 11 models
vendor site · SAP19 answers · 33 citations · 11 models
19 answers · 24 citations · 10 models
vendor site · Venn18 answers · 18 citations · 9 models
15 answers · 15 citations · 6 models
vendor site · G214 answers · 26 citations · 9 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.
35 answers · 11 models
19 answers · 10 models
18 answers · 9 models
17 answers · 9 models
17 answers · 8 models
15 answers · 11 models
14 answers · 8 models
13 answers · 7 models
12 answers · 5 models
11 answers · 11 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 |
|---|---|---|---|---|---|---|---|---|
| SAP parent site SAP Fieldglass 42% | 42% | 149 | 135,000 | 74,309 | ||||
| Beeline beeline.com Beeline 17%, IQNavigator 0% | 17% | 145 | 27,100 | 1,443 | 19,910 | $53 | 5 | 4 |
| Workday parent site Workday VNDLY 7% | 7% | 88 | 1,220,000 | 23,848 | ||||
| Worksuite worksuite.com | 7% | 59 | 880 | 5 | 8,941 | |||
| WorkMarket workmarket.com | 7% | 22 | 12,100 | 154 | 11,877 | |||
| Magnit magnitglobal.com Magnit 5%, Magnit Global 0% | 5% | 59 | 9,900 | 827 | 13,893 | 0 | 1 | |
| SimplifyVMS simplifyvms.com | 5% | 50 | 210 | 6 | 995 | 5 | ||
| Upwork upwork.com | 3% | 163 | 368,000 | 4,878 | 2,719,519 | $456 | 114 | |
| Worksome worksome.com | 2% | 40 | 880 | 7 | 1,226 | 24 | ||
| Ivalua ivalua.com | 2% | 22 | 3,600 | 87 | 35,515 | 80 |
Google's top ten for the three searches hold 22 sites; 3 of them are among the sites the models cited here (peoplemanagingpeople.com, sap.com, venn.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 an enterprise B2B company?”Paraphrase“Which freelancer management platform would you recommend to a large B2B company with thousands of employees?”Comparative“What are the top enterprise-grade contingent workforce platforms and how do they differ?”Budget-constrained“What is the best vendor management system for contingent workers 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 vendor management system for contingent workers. What should we look at?”Negative“Which contingent workforce platforms should a large enterprise avoid or be cautious about?”
Claude Haiku 4.5SAP FieldglassWorksuiteChangedSAP FieldglassMagnit, SAP Fieldglassno first choicenothing named
Three alternatives
Beeline, Magnit, Workday VNDLYThree alternatives
Beeline, TalentDesk.io, WorkMarketEight alternatives
Beeline, Coupa Contingent Workforce, Deel, Remote, Rippling, Workday Contingent Worker Management, Worksome, WorksuiteOne alternative
BeelineGPT-5.4 miniBeeline, SAP FieldglassWorksomeChangedBeeline, Magnit, SAP Fieldglassagainst: Oracle, WorkdayBeelineno first choiceagainst: Flentis, SimplifyVMS, VectorVMS
One alternative
MagnitOne alternative
DeelTwo alternatives
Magnit, SAP FieldglassGemini 3.5 FlashBeeline, SAP Fieldglass, Workday VNDLYWorksuiteChangedBeeline, SAP FieldglassWorkday VNDLYagainst: SAP Fieldglassno first choiceagainst: Fiverr, Freelancer.com, Upwork
One alternative
MagnitFour alternatives
Deel, Fiverr, WorkMarket, WorksomeThree alternatives
Coupa Contingent Workforce, Magnit, Workday VNDLYOne alternative
BeelinePerplexity SonarSAP FieldglassWorksuiteChangedSAP FieldglassSAP Fieldglassagainst: VectorVMSno first choiceagainst: Manatal, Zoho Recruit
Four alternatives
Beeline, Flextrack, Ivalua, Workday VNDLYThree alternatives
Upwork, WorkMarket, WorksomeFive alternatives
Beeline, Guidant Global, Ivalua, Magnit, VectorVMSTwo alternatives
Beeline, Workday VNDLYGrok 4.1 FastSAP Fieldglassagainst: Paylocity, UpworkWorkMarketChangedBeeline, SAP FieldglassSAP Fieldglassno first choiceagainst: Beeline, Fiverr, Magnit, SAP Fieldglass, Toptal, Upwork, Workday VNDLY
Three alternatives
Beeline, PRO Unlimited, VectorVMSTwo alternatives
Fiverr, UpworkThree alternatives
Magnit, PRO Unlimited, Workday VNDLYThree alternatives
Beeline, Magnit, SimplifyVMSMistral SmallSAP FieldglassFiverrChangedSAP Fieldglassagainst: Coupa Contingent Workforce, Ivalua, JaggaerSAP Fieldglassno first choiceagainst: Beeline, Fiverr, SAP Fieldglass, Toptal, Upwork
Three alternatives
Flextrack, Magnit, Workday VNDLYTwo alternatives
WorkMarket, WorksuiteFive alternatives
Beeline, Catalant, Toptal, Upwork, Workday VNDLYTwo alternatives
SimplifyVMS, Workday VNDLYDeepSeek V4 FlashSAP FieldglassWorksuiteChangedagainst: UpworkBeeline, SAP FieldglassBeeline, SAP Fieldglassno first choiceagainst: Beeline, Fiverr, Freelancer.com, Gopuff, SAP Fieldglass, TaskRabbit, Upwork
Five alternatives
Beeline, Coupa Contingent Workforce, Ivalua, Magnit Global, Workday VNDLYOne alternative
DeelTwo alternatives
Magnit, Workday VNDLYTwo alternatives
Magnit, SimplifyVMSLlama 4 MaverickSAP FieldglassUpworkChangedno first choiceSAP Fieldglass, SimplifyVMS, Workday VNDLYno first choiceagainst: Beeline, Fiverr, SAP, SAP Fieldglass, Toptal, Upwork
Three alternatives
Flextrack, Magnit, Workday VNDLYThree alternatives
Fiverr, WorkMarket, WorksuiteQwen 3.7 FlashSAP FieldglassWorkMarketChangedno first choiceSAP Fieldglass, SimplifyVMSno first choiceagainst: Beeline, Fiverr, SAP Fieldglass, Toptal, Upwork
Two alternatives
Oracle Fusion, Workday Contingent WorkforceThree alternatives
Upwork, Worksome, WorksuiteTwo alternatives
WNS ActiveVMS, Workday VNDLYKimi K2SAP FieldglassSAP FieldglassHeldBeeline, SAP FieldglassWorkday VNDLYagainst: SAP FieldglassMagnit, SimplifyVMSagainst: Beeline, Fiverr, SAP Fieldglass, Upwork
Four alternatives
Beeline, Coupa Contingent Workforce, Magnit, Workday VNDLYTwo alternatives
ADP WorkMarket, BeelineThree alternatives
Coupa Contingent Workforce, Magnit Global, Workday VNDLYThree alternatives
Beeline, SAP Fieldglass, Workday VNDLYGLM 4.7 FlashXBeeline, SAP FieldglassWorkMarketChangedSAP FieldglassIvalua, SAP Fieldglassno first choiceagainst: Beeline, Bullhorn, Magnit, SAP Fieldglass, Zoho Recruit
Four alternatives
Magnit, Wand, Workday VNDLY, WorksuiteOne alternative
UpworkFour alternatives
Beeline, Coupa Contingent Workforce, Deel HR, Workday VNDLYOne alternative
BeelineMiniMax M2.5Beeline, SAP FieldglassUpwork, WorkMarketChangedBeeline, SAP FieldglassBeeline, VectorVMSno first choiceagainst: Beeline, Fiverr, SAP Fieldglass, Toptal, Upwork
Two alternatives
Flextrack, PixidTwo alternatives
Fiverr, WorksuiteTwo alternatives
Deel, MagnitTwo alternatives
Bridge VMS, SimplifyVMSGPT-6 LunaBeeline, SAP FieldglassBeelineChangedBeeline, Magnit, SAP Fieldglass, Workday VNDLYBeelineno first choiceagainst: Beeline, Deel, Insight Global
One alternative
Workday VNDLYTwo alternatives
SAP Fieldglass, WorksuiteTwo alternatives
SAP Fieldglass, Workday VNDLYMuse Glimmer 30BSAP FieldglassSAP FieldglassHeldSAP Fieldglass Contingent Workforce ManagementMagnit, SAP Fieldglassno first choiceagainst: Beeline, Fiverr, SAP Fieldglass, Toptal, Upwork, Workday, Workday VNDLY
Two alternatives
Beeline, Workday VNDLYOne alternative
ADP WorkMarketSix alternatives
Beeline VMS, Coupa Contingent Workforce, IQNavigator, Magnit, PRO Unlimited, Workday VNDLYThree alternatives
Beeline, SimplifyVMS, Workday VNDLYBold 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 11:30 | yes | 9 | 8 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 08:28 | yes | 4 | 7 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 08:50 | yes | 15 | 23 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-10-01 08:30 | yes | 20 | 3 s |
| Direct recommendation | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 08:30 | yes | 25 | 10 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 08:36 | yes | 5 | 3 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 11:56 | yes | 24 | 42 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 11:24 | yes | 5 | 2 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 09:37 | yes | 20 | 95 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 11:28 | yes | 15 | 26 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 08:30 | yes | 21 | 58 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 09:09 | yes | 10 | 17 s |
| Direct recommendation | GPT-6 Luna | gpt-6-luna | 2026-10-01 11:15 | yes | 4 | 20 s |
| Direct recommendation | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 09:01 | yes | 14 | 32 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 10:38 | yes | 18 | 9 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 10:15 | yes | 3 | 4 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 11:29 | yes | 24 | 25 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-10-01 10:50 | yes | 17 | 2 s |
| Paraphrase | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 08:54 | yes | 18 | 12 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 11:02 | yes | 5 | 3 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 12:08 | yes | 19 | 32 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 08:42 | yes | 5 | 1 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 08:02 | yes | 8 | 24 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 07:43 | yes | 19 | 17 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 11:10 | yes | 25 | 49 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 11:15 | yes | 5 | 14 s |
| Paraphrase | GPT-6 Luna | gpt-6-luna | 2026-10-01 08:59 | yes | 4 | 14 s |
| Paraphrase | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 08:27 | yes | 21 | 36 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 11:05 | yes | 9 | 9 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 11:51 | yes | 4 | 8 s |
| Comparative | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 07:56 | yes | 19 | 28 s |
| Comparative | Perplexity Sonar | sonar | 2026-10-01 09:39 | yes | 15 | 5 s |
| Comparative | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 10:24 | yes | 23 | 9 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 12:00 | yes | 15 | 15 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 11:08 | yes | 23 | 44 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 07:36 | yes | 5 | 2 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 09:00 | no | 0 | 44 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 11:08 | yes | 17 | 26 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 10:23 | yes | 21 | 60 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 11:38 | yes | 22 | 48 s |
| Comparative | GPT-6 Luna | gpt-6-luna | 2026-10-01 09:52 | yes | 4 | 22 s |
| Comparative | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 09:10 | yes | 13 | 40 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 07:28 | yes | 18 | 10 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 12:05 | yes | 2 | 8 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 08:59 | yes | 22 | 32 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-10-01 11:40 | yes | 20 | 4 s |
| Budget constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 10:39 | yes | 22 | 9 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 10:21 | yes | 5 | 4 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 10:56 | yes | 21 | 43 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 07:33 | yes | 5 | 2 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 09:43 | yes | 5 | 28 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 10:51 | yes | 20 | 29 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 08:33 | yes | 23 | 30 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 09:10 | yes | 19 | 41 s |
| Budget constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 09:06 | yes | 4 | 18 s |
| Budget constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 08:26 | yes | 22 | 46 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 09:50 | yes | 36 | 21 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 10:02 | yes | 5 | 11 s |
| Scale constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 10:31 | yes | 10 | 28 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-10-01 08:38 | yes | 14 | 5 s |
| Scale constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 09:39 | yes | 19 | 10 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 10:28 | no | 0 | 9 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 08:45 | yes | 24 | 52 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 10:47 | yes | 5 | 4 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 09:16 | yes | 10 | 47 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 09:20 | yes | 18 | 25 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 09:20 | yes | 20 | 34 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 10:11 | no | 0 | 58 s |
| Scale constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 11:20 | yes | 3 | 31 s |
| Scale constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 09:01 | yes | 24 | 49 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 10:59 | yes | 27 | 13 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 09:57 | yes | 2 | 8 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 07:50 | yes | 15 | 27 s |
| Negative framing | Perplexity Sonar | sonar | 2026-10-01 10:47 | yes | 15 | 3 s |
| Negative framing | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 10:22 | yes | 24 | 8 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 10:13 | yes | 5 | 4 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 08:14 | yes | 25 | 62 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 08:24 | yes | 5 | 2 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 10:00 | yes | 5 | 32 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 11:19 | yes | 24 | 23 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 08:58 | yes | 24 | 74 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 09:47 | yes | 18 | 44 s |
| Negative framing | GPT-6 Luna | gpt-6-luna | 2026-10-01 12:01 | yes | 4 | 26 s |
| Negative framing | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 08:30 | yes | 20 | 42 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
Freelancer read as Freelancer.com
TalentDesk read as TalentDesk.io
Unresolved, counted raw
Accela
AgileOne
Eqip
FieldNation (by Skilable)
Flentis
Gopuff
Guidant Global
IQN
IQNav
Kroll
Pixid
Pontoon
Procyon
SAP Fieldglass Contingent Workforce Management
Staffingtec
Vectrus
Verisource
WNS ActiveVMS
WorkPerfect
Discontinued, still offered
No shut-down product was recommended here.