programcode

Head-to-head · Cloud platforms

Vercel vs Netlify

Vercel centers on agent infrastructure and model access; Netlify centers on Git deployments, previews and web app services.

Vercel

7.2/10
VS

Netlify

7.1/10

We may earn a commission if you buy through links on this page. It never changes a score or a ranking. How we make money

Short answer

It's a split decision.

Choose Vercel for deploying AI agents that need sandboxed environments, durable orchestration and access to 400+ models. Its API, CLI, MCP and Skills target coding-agent workflows. Choose Netlify for web projects built from Git, CLI or drag-and-drop, with pull-request previews, serverless functions and data storage. Both have free tiers and $20 Pro plans, but their usage measures differ: Vercel lists metered service rates, while Netlify bills credits and adds charges for extra builds and credits.

01Side by side

VercelNetlify
Pricing model$20/month Pro, usage credit and metered services$9 Personal; $20 Pro; credit-based usage
Free tierHobby: 1M CDN requests and 100 GB transferFree: 300 credits, one concurrent build
API and agent interfacesAPI, CLI, MCP, Skills; access to 400+ modelsCLI, AI Gateway, Claude and Codex integrations
Build and deploy interfacesAPI, CLI, MCP and SkillsGit, CLI and drag-and-drop
Integrations400+ modelsGit, Claude, Codex and AI Gateway
Deployment workflowDeployment environments and global deliveryGit deploys, pull-request previews and rollback
Platform targetWebWeb
Usage and scaling limitsHobby includes 1M CDN requests and 100 GB transferCredits, concurrent builds and agent runs vary by plan

Choose Vercel if

  • Choose Vercel if agents need sandboxed VMs and durable orchestration.
  • Choose Vercel if model access across 400+ models matters.
  • Choose Vercel if your workflow uses MCP or Skills.

Choose Netlify if

  • Choose Netlify if Git pushes and pull-request previews shape your workflow.
  • Choose Netlify if you want CLI or drag-and-drop deployment options.
  • Choose Netlify if you need functions, data storage and built-in identity.

02Pricing at real usage

Vercel's Hobby plan is free for personal, non-commercial projects and includes 1M CDN requests, 100 GB of data transfer and 1M ISR reads per month. Pro is $20/month and includes a $20 monthly usage credit, flat-rate CDN, unlimited viewer seats and a free custom domain. Enterprise pricing is custom. Beyond included usage, the pricing page lists metered charges such as function invocations from $0.60 per 1M and Fluid Active CPU from $0.128/hour; storage, builds, images and AI Gateway have separate rates.

Netlify Free is $0 with 300 monthly credits, one concurrent build and one concurrent agent run. Personal is listed at $9/month; Pro is $20/month with 3,000–20,000 credits. The page also shows unresolved alternate prices: $12/$15 for Personal and $25 for Pro. Extra credits cost $5 per 500 on Personal or $10 per 1,500 on Pro; extra builds cost $40 each. Compare expected usage before treating plan price as total cost.

03API, SDKs and integration

Vercel lists an API, CLI, MCP and Skills as ways for coding agents to deploy. Its homepage says the platform provides access to 400+ models and supports apps and agents in sandboxed environments, with durable orchestration. The stated integration paths do not identify language-specific SDKs, so check the vendor docs for the SDK and API details your codebase requires.

Netlify supports Git-based deployments, CLI deployment and drag-and-drop. Pushes can trigger deployments, and pull requests get preview URLs. Its homepage provides a CLI path using npm i -g netlify-cli and netlify deploy --allow-anonymous. For application features, Netlify lists serverless functions, data storage, built-in identity, API connections and AI Gateway access to models. It names Claude and Codex as supported AI agents. These are different integration emphases: Vercel foregrounds agent-facing interfaces and model access; Netlify foregrounds project deployment and web app building.

04Open source, self-hosting and lock-in

Neither vendor publishes an open-source licence or self-hosting option for these platforms. Treat both as hosted services unless the vendor confirms otherwise for your deployment. The published feature sets also do not specify data-export formats or migration tools, so ask about export scope, retention, backups and project teardown before committing production data.

Portability depends on which services your app uses. Vercel lists platform features including Fluid Compute, sandboxes, durable orchestration, Blob storage and AI Gateway; using those can make a move involve replacing more than static hosting. Netlify offers functions, data storage, identity and AI Gateway, which can create similar migration work. Git-based deployment and standard web assets can help preserve parts of a workflow, but they do not guarantee that platform-specific functions or stored data transfer directly.

Questions people ask

What are the main limits on Netlify's free plan?

Netlify Free includes 300 credits per month, one concurrent build and one concurrent agent run. The plan also includes unlimited deploy previews. If your workload needs more credits or build capacity, the pricing page lists paid Personal and Pro plans and extra-credit and extra-build charges.

What can I use instead of Vercel?

Netlify is an option for web apps and sites that need Git deployments, pull-request previews, a CLI, serverless functions and data storage. It has a free plan and paid Personal and Pro tiers. Compare its credit and concurrency limits with your expected build and agent workload before switching.

Is GitHub or Netlify better for deploying a site?

They serve different roles in this comparison: Netlify is a hosting and deployment platform, while its workflow can deploy from Git. Netlify says pushes trigger deployments and pull requests receive preview URLs. Choose based on whether you need a deployment platform and its functions, previews and storage features.

Can you self-host Vercel or Netlify?

Neither vendor publishes a self-hosting option for these platforms. Treat them as hosted services unless the vendor confirms a supported self-hosted deployment for your requirements. If portability is important, ask about export formats and migration paths for functions, stored data, identity and other platform-specific services.