Contingent workforce management · October 2026 Edition
Deel vs Magnit
Zero of fourteen models named Deel first on the direct prompt; one named Magnit. Deel was named by ten of the fourteen models and Magnit by twelve and Deel carries 18 labels and Magnit 21, so the shares are not directly comparable.
Named in seventeen categories this edition.
Named in one category this edition.
First-choice share7%5%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate11%24%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#5#8A position in a field of 12; printed, not drawn.
Labels1821A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Deel 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 Deel · VectorVMS vs Magnit · Worksuite vs Deel
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.
DeelFirst choices, of fourteen modelsMagnit
Direct011 against Magnit
Paraphrase40
Comparative011 against Magnit
Budget-constrained002 against Magnit
Scale-constrained02
Negative102 against Deel · 1 against Magnit
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 Deel and Magnit 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 | |
Deel Magnit first choice named as an alternative argued againstblank: not namedEach cell is one answer, Deel on the left and Magnit on the right.The direct prompt
The plain question, one answer per model, grouped by where Deel and Magnit stood in it.
Magnit first, Deel not the choice
1 of 14 modelsDeel was named in the answer but not as the choice, or not at all.Grok 4.1 FastMagnit alternatives: Conexis VMS, SimpleVMS, SimplifyVMS, Worksuite
Neither was the first choice, one was named
2 of 14 modelsThe answer put something else first and named one of the two as an alternative.Qwen 3.7 FlashSimplifyVMS alternatives: Magnit, VectorVMS
GLM 4.7 FlashXVectorVMS alternatives: Magnit, SimplifyVMS, Workday VNDLY
Neither was named
11 of 14 modelsThe answer made no first choice from these two in this category.Claude Haiku 4.5Worksuite alternatives: Beeline, SimpleVMS
GPT-5.4 miniBeeline alternatives: Conexis VMS, SAP Fieldglass, SourceNow
Gemini 3.5 FlashVectorVMS alternatives: Conexis VMS, Workday VNDLY, Worksuite
Perplexity SonarWorkday VNDLY alternatives: Beeline
Mistral SmallSAP Fieldglass alternatives: SimplifyVMS, Workday VNDLY
DeepSeek V4 FlashVectorVMS alternatives: SimpleVMS, SimplifyVMS, Worksuite
Llama 4 Maverickno first choice
Kimi K2Beeline alternatives: SimplifyVMS, VectorVMS, Workday VNDLY
MiniMax M2.5SimplifyVMS, Worksuite
GPT-6 LunaBeeline alternatives: Workday VNDLY, Worksuite
Muse Glimmer 30BSimpleVMS, SimplifyVMS alternatives: Beeline, Worksome VMS, 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
Enterprise
The order flips: Magnit leads at enterprise.
Magnit5%#5 of 10Deel0%#10 of 10What the models said about Deel
No label in this category carried a quote.
What the models said about Magnit
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“Quote-based, typically high | Built for large global programs” Kimi K2 · budget prompt · hard negative
“quote-only and typically cost six figures annually, so they are out of scope for a limited budget” DeepSeek V4 Flash · budget prompt · soft negative
“note a steep learning curve and enterprise-grade complexity that can overwhelm mid-market teams” DeepSeek V4 Flash · direct prompt · soft negative
“Mid-Market Focused VMS: Tools like Magnit, Beeline, or SimplifyVMS. These are built to be easier to implement than enterprise giants” Qwen 3.7 Flash · scale prompt · first choice
“Focus your shortlist on SimplifyVMS, Magnit, and VectorVMS” DeepSeek V4 Flash · scale prompt · first choice
“SAP Fieldglass and Magnit are the leading choices” MiniMax M2.5 · comparative prompt · first choice
Also compared
VectorVMS vs DeelVectorVMS vs MagnitWorksuite vs DeelWorksuite vs MagnitSimplifyVMS vs DeelSimplifyVMS vs MagnitBeeline vs DeelBeeline vs MagnitDeel vs WorksomeDeel vs Conexis VMSWorksome vs MagnitConexis VMS 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.