Prompt

Can you recommend freelance talent marketplaces for comparing marketplace fees and matching models?

Latest observation

Jul 23, 2026 · OpenAI APIWeb search: off

Yes — here are several freelance talent marketplaces that are useful for comparing fees and matching models. I’ll group them by the kind of marketplace experience they offer.

Major general-purpose marketplaces

1. Upwork

  • Matching model: Search + algorithmic recommendations + invites from clients
  • Fee structure: Client service fees, freelancer service fees, plus optional premium plans
  • Good for: Broad comparison because it has a large marketplace, structured profiles, and multiple hiring modes

2. Fiverr

  • Matching model: Productized services marketplace; buyers browse listings and purchase gigs
  • Fee structure: Marketplace/service fees on both sides, varies by transaction type
  • Good for: Comparing a “catalog” model versus bid-based marketplaces

3. Freelancer.com

  • Matching model: Bid-based marketplace with contests and direct hiring
  • Fee structure: Project and contest fees, optional memberships
  • Good for: Comparing auction-style sourcing and fee complexity

4. PeoplePerHour

  • Matching model: Buyers browse offers, post jobs, or invite freelancers
  • Fee structure: Platform service fees and payment processing-related charges
  • Good for: Comparing hybrid discovery models

5. Guru

  • Matching model: Search, job posts, and direct proposals
  • Fee structure: Commission/handling fees, membership tiers
  • Good for: Comparing simpler fee structures against larger platforms

High-skill / vetted talent marketplaces

6. Toptal

  • Matching model: Highly curated vetting + matching by account managers
  • Fee structure: Typically premium, custom pricing rather than transparent public fees
  • Good for: Comparing managed matching vs open marketplace fees

7. Contra

  • Matching model: Portfolio-led discovery, direct client connection
  • Fee structure: Emphasizes zero-commission or low-fee positioning depending on use case
  • Good for: Comparing creator-friendly pricing models

8. Braintrust

  • Matching model: Talent network with decentralized/community elements and direct matching
  • Fee structure: Lower platform take-rate orientation, often marketed as fee-light
  • Good for: Comparing network-based matching and alternative fee models

Specialized marketplaces

9. 99designs

  • Matching model: Contest-based or direct design matching
  • Fee structure: Project/package-based pricing, platform fees built into plans
  • Good for: Comparing contest models and design-specific economics

10. Malt

  • Matching model: Search + recommendations, especially strong in Europe
  • Fee structure: Marketplace commission fees
  • Good for: Comparing regional marketplaces and their take rates

11. Codeable

  • Matching model: Vetted WordPress experts matched to projects
  • Fee structure: Platform fees embedded in project pricing
  • Good for: Comparing niche, curated marketplaces

Best marketplaces to compare for your specific goal

If your goal is specifically to study fee structures and matching models, I’d shortlist:

  • Upwork — broadest combination of search, invites, and algorithmic matching
  • Fiverr — best example of a service catalog marketplace
  • Freelancer.com — bid/contest model
  • Toptal — curated and managed matching
  • Contra — low-commission or alternative monetization model
  • 99designs — contest-based marketplace

What to compare across them

When comparing, look at:

  • Who pays fees: client, freelancer, or both
  • Fee type: commission, subscription, posting fee, payment processing fee
  • Matching mechanism: search, recommendation engine, curated matching, bidding, contests
  • Supply quality controls: vetting, ratings, portfolio verification
  • Time-to-hire: immediate browse-and-buy vs managed matching
  • Category specialization: generalist vs niche

If you want, I can also turn this into a comparison table with columns for fee model, matching model, and best use case.

Observation history

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How did Obsurfable measure this prompt?

Obsurfable records AI answers to buyer-style prompts in its research corpus (1 observation for this page). Metrics are distributions over observations, not a single static ranking.

Which AI systems does Obsurfable collect answers from?

OpenAI, ChatGPT, Google, Gemini, Google AI Mode, Anthropic, Claude, Perplexity, Grok, DeepSeek, Mistral, Copilot, and Meta AI.