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Contingent workforce management · September 2026 Edition

Worksuite vs Fiverr

Four of twelve models named Worksuite first on the direct prompt; zero named Fiverr. Worksuite was named by eleven of the twelve models and Fiverr by eight and Worksuite carries 30 labels and Fiverr 16, so the shares are not directly comparable.

Worksuite

accepted challenger

Named in one category this edition.

Fiverr

criticized challenger

Named in six categories this edition.

First-choice share11%4%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate3%25%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#2#7A position in a field of 16; printed, not drawn.
Labels3016A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Worksuite reading right to left. Rank and label count are printed, not drawn.SimpleVMS was named alongside these two in nine of the twelve direct answers. SimpleVMS vs Worksuite · SimpleVMS vs Fiverr · Worksuite vs Deel

Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all twelve 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 twelve models made each the first choice, per way of asking, and how many argued against it.
WorksuiteFirst choices, of twelve modelsFiverr
Direct40
Paraphrase121 against Fiverr
Comparative10
Budget-constrained00
Scale-constrained00
Negative001 against Worksuite · 3 against Fiverr
Bars are first choices, 0 to 12 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to twelve.

Across every category in the September 2026 Edition, Worksuite and Fiverr were named in the same answer twenty-four times, of the 61 answers naming Worksuite and the 111 naming Fiverr. In those answers Fiverr took the first choice two times and Worksuite five.

Every model, every framing

The seventy-two answers behind the chart above, one cell each: where Worksuite and Fiverr stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
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
Worksuite Fiverr first choice named as an alternative argued againstblank: not namedEach cell is one answer, Worksuite on the left and Fiverr on the right.

The direct prompt

The plain question, one answer per model, grouped by where Worksuite and Fiverr stood in it.

Worksuite first, Fiverr not the choice

4 of 12 modelsFiverr was named in the answer but not as the choice, or not at all.
Mistral SmallSimpleVMS, Worksuite
Llama 4 MaverickConexis VMS, Gatekeeper, Procurify, SimpleVMS, Worksuite
Qwen 3.7 FlashSimpleVMS, Worksuite alternatives: Deel, Rippling
MiniMax M2.5SimpleVMS, Worksuite

Neither was the first choice, one was named

7 of 12 modelsThe answer put something else first and named one of the two as an alternative.
Claude Haiku 4.5SimplifyVMS alternatives: Conexis VMS, FlentisPRO, VectorVMS, Worksuite
Gemini 3.5 FlashConexis VMS alternatives: Deel, Rippling, SimpleVMS, VectorVMS, Worksuite
Perplexity SonarMagnit alternatives: Conexis VMS, Workday VNDLY, Worksuite
Grok 4.1 FastSimpleVMS alternatives: Conexis VMS, VectorVMS, Worksuite
DeepSeek V4 FlashSimpleVMS alternatives: Beeline, VectorVMS, Worksuite
Kimi K2Conexis VMS alternatives: SimpleVMS, Workday VNDLY, Worksuite
GLM 4.7 FlashXBridge VMS alternatives: SimpleVMS, Workday VNDLY, Worksuite

Neither was named

1 of 12 modelsThe answer made no first choice from these two in this category.
GPT-5.4 miniSAP Fieldglass alternatives: Beeline, Worksome

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
Level: the same share of first choices.
Worksuite0%#10 of 13
Fiverr0%#12 of 13
The full small business standing →
Mid-marketThe figures above
Worksuite leads by seven points.
Worksuite11%#2 of 16
Fiverr4%#7 of 16
The full mid-market standing →
Enterprise
Worksuite leads by five points.
Worksuite7%#4 of 12
Fiverr2%#11 of 12
The full enterprise standing →

What the models said about Worksuite

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of five in this category shown.

“Reviews of platforms like "Worksuite" often highlight a non-intuitive interface.” GLM 4.7 FlashX · negative prompt · soft negative
“The leading options include Worksuite for established global freelancer programs” Claude Haiku 4.5 · comparative prompt · first choice
“Worksuite is the industry gold standard for mid-market companies.” Gemini 3.5 Flash · paraphrase prompt · first choice
“is SimpleVMS, Worksuite, Conexis VMS, Gatekeeper, or Procurify” Llama 4 Maverick · direct prompt · first choice

What the models said about Fiverr

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of four in this category shown.

“Rather than standard hiring marketplaces like Upwork or Fiverr, you need a dedicated Freelancer Management System (FMS)” Gemini 3.5 Flash · paraphrase prompt · soft negative
“MODERATE-HIGH RISK: Platforms with Significant Complaints ... Freelance Marketplaces (Upwork, Fiverr, Freelancer.com)” Kimi K2 · negative prompt · soft negative
“I would recommend Fiverr Enterprise as a freelancer management platform for a mid-sized B2B company.” Llama 4 Maverick · paraphrase prompt · first choice
“Fiverr Enterprise or Deel are often the best recommendations” Mistral Small · paraphrase prompt · first choice
Also compared

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.