Contingent workforce management · October 2026 Edition
Beeline vs Deel
Three of fourteen models named Beeline first on the direct prompt; zero named Deel. Beeline was named by fourteen of the fourteen models and Deel by ten and Beeline carries 48 labels and Deel 18, so the shares are not directly comparable.
Named in two categories this edition.
Named in seventeen categories this edition.
First-choice share9%7%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate40%11%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#4#5A position in a field of 12; printed, not drawn.
Labels4818A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Beeline reading right to left. Rank and label count are printed, not drawn.SimplifyVMS was named alongside these two in eight of the fourteen direct answers. VectorVMS vs Beeline · VectorVMS vs Deel · Worksuite vs Beeline
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; rank is within the category; every quote names the model and the prompt it came from. Both figures come from the contingent workforce management page.
By framing
How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
BeelineFirst choices, of fourteen modelsDeel
Direct307 against Beeline
Paraphrase04
Comparative30
Budget-constrained106 against Beeline
Scale-constrained102 against Beeline
Negative014 against Beeline · 2 against Deel
Bars are first choices, 0 to 14 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to fourteen.
Every model, every framing
The eighty-four answers behind the chart above, one cell each: where Beeline and Deel stood in it.
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| 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 | | | | |||
| Muse Glimmer 30B | | | | | |
Beeline Deel first choice named as an alternative argued againstblank: not namedEach cell is one answer, Beeline on the left and Deel on the right.The direct prompt
The plain question, one answer per model, grouped by where Beeline and Deel stood in it.
Beeline first, Deel not the choice
3 of 14 modelsDeel was named in the answer but not as the choice, or not at all.GPT-5.4 miniBeeline alternatives: Conexis VMS, SAP Fieldglass, SourceNow
Kimi K2Beeline alternatives: SimplifyVMS, VectorVMS, Workday VNDLY
GPT-6 LunaBeeline alternatives: Workday VNDLY, Worksuite
Neither was the first choice, one was named
3 of 14 modelsThe answer put something else first and named one of the two as an alternative.Claude Haiku 4.5Worksuite alternatives: Beeline, SimpleVMS
Perplexity SonarWorkday VNDLY alternatives: Beeline
Muse Glimmer 30BSimpleVMS, SimplifyVMS alternatives: Beeline, Worksome VMS, Worksuite
Neither was named
8 of 14 modelsThe answer made no first choice from these two in this category.Gemini 3.5 FlashVectorVMS alternatives: Conexis VMS, Workday VNDLY, Worksuite
Grok 4.1 FastMagnit alternatives: Conexis VMS, SimpleVMS, SimplifyVMS, Worksuite
Mistral SmallSAP Fieldglass alternatives: SimplifyVMS, Workday VNDLY
DeepSeek V4 FlashVectorVMS alternatives: SimpleVMS, SimplifyVMS, Worksuite
Llama 4 Maverickno first choice
Qwen 3.7 FlashSimplifyVMS alternatives: Magnit, VectorVMS
GLM 4.7 FlashXVectorVMS alternatives: Magnit, SimplifyVMS, Workday VNDLY
MiniMax M2.5SimplifyVMS, Worksuite
Bold names in an answer are the products the judge labeled a first choice; a model naming several gives each of them that label. The full answer text for every row is in the record.
By buyer segment
The same question asked on behalf of a different buyer. Each standing is computed within its segment and they are never added together. The figures above are the mid-market standing, which is the one the category orders by.
Small business
Mid-marketThe figures above
The order flips: Beeline leads at mid-market.
Beeline9%#4 of 12Deel7%#5 of 12Enterprise
What the models said about Beeline
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“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 · hard negative
“traditional enterprise solutions (like SAP Fieldglass, Beeline, or Workday VNDLY) are usually not viable options” Gemini 3.5 Flash · budget prompt · hard negative
“Avoid enterprise giants (e.g., SAP Fieldglass, Beeline) unless you have 500+ workers.” Grok 4.1 Fast · budget prompt · hard negative
“I'd pick Beeline for most mid-market B2B companies because it's purpose-built for contingent workforce management” GPT-5.4 mini · direct prompt · first choice
“Choose Beeline if you need best-of-breed VMS capabilities with mature program governance” Kimi K2 · comparative prompt · first choice
“SAP Fieldglass and Beeline often top lists for market share and features.” Grok 4.1 Fast · comparative prompt · first choice
What the models said about Deel
No label in this category carried a quote.
Also compared
VectorVMS vs BeelineVectorVMS vs DeelWorksuite vs BeelineWorksuite vs DeelSimplifyVMS vs BeelineSimplifyVMS vs DeelBeeline vs WorksomeBeeline vs Conexis VMSBeeline vs MagnitDeel vs WorksomeDeel vs Conexis VMSDeel vs MagnitAll twenty-eight head-to-head pages and the full contingent workforce man standing
Comparisons are drawn for the top eight products in each category, each against each. The output is the models' output; nothing here is a recommendation by the index.