Choose Vercel if your team builds with Next.js or wants infrastructure for AI agents, such as sandboxes, durable workflows and a gateway to 400+ models. Choose Netlify if you want the shortest route from a prompt, Git or a dropped folder to a live site, with forms, identity and storage already included and a free plan to start. Neither is the overall winner.
Who's going to press deploy on your next project: a developer, or an AI agent? A year or two ago that would've sounded like an odd thing to ask about a hosting platform. Now it's the most useful way into this choice, because both companies have rebuilt their homepages around agents, and they've done it in very different ways.
Most comparison posts still frame this pair as two places to host a front end. That's not wrong, it's just no longer where the two separate. So this page starts with the agent question, then works through deployment, backend pieces, frameworks and previews, and saves the plain advice for near the end.
Two different bets on AI agents
One side calls itself Agentic Infrastructure. Its pitch is that coding agents deploy through its API, CLI, MCP and Skills, and that agents also run on it, inside sandboxed VMs and durable workflows. It also says agents can automate error investigation and fixes. Put simply, it's selling the ground that agents stand on.
The other side's headline is about pushing your ideas to the web, from a prompt, Git or a dropped folder. Its agent offer is called Agent Runners: you pick Claude, Gemini, Codex or OpenCode inside its dashboard, the agent builds and changes your site, and the platform handles deployment. The vendor says no API keys are needed. That's a tool for people who prompt an agent, rather than people who build agents.
This is the split that matters. If you're building your own agents or letting agents ship code on their own, the first approach is aimed at you. If you'd rather type what you want and have a ready-made agent do the work, with the backend bits already there, the second one is. Neither homepage claims to do the other's job well.
Seven differences in one table
| Area | Vercel | Netlify |
|---|---|---|
| Headline pitch | Agentic Infrastructure to ship apps and agents, with agents automating error investigation and fixes | Push your ideas to the web from a prompt, Git or a dropped folder |
| Ways to deploy | Git-based deploys, CLI and an API, with a drop tool listed among its tools | Git, CLI with an anonymous deploy option, and drag and drop; new drop projects stay private until published |
| Built-in backend | Fluid Compute, queues, backends, workflows and a sandbox for untrusted code | Serverless, edge, background and scheduled functions, plus a database, Blobs storage, Identity and Forms |
| AI model access | AI SDK, AI Gateway and access to 400+ models | AI Gateway that connects any AI model with no API keys |
| Frameworks | Next.js listed first; maintains Turborepo, Nitro and others | Astro, TanStack, Next.js, WordPress and React as starting points |
| Previews | Every pull request gets a working environment, with comments on deployments | Every PR gets a preview URL and every change a private Deploy Preview; one-click rollback |
| Agent approach | Agents deploying to it and agents running on it | External coding agents hosted as Agent Runners in the dashboard |
Getting code live: Git, CLI or a dragged folder
On the basics they're close. Both deploy from Git and from a command line. Both list a drop-style tool, so you can drag a folder in rather than wire up a repository. The agent-infrastructure platform adds an API as a first-class way in, which fits its story about agents shipping code without a human in the loop.
The prompt-first platform has two small touches worth knowing about. Its CLI includes an anonymous deploy option, and new projects created by dropping a folder stay private until you publish them. If you're a solo builder testing an idea, or you're showing a client something rough, that private-by-default behaviour is handy.
What sits behind your site
This is where the two feel most different day to day. The prompt-first platform bundles the pieces a small site usually needs: functions of several kinds (serverless, edge, background and scheduled), a database, Blobs storage, Identity for logins and Forms. If your project is a marketing site with a contact form, or a small app that needs user accounts, a lot of that is there without adding another service.
The agent-infrastructure platform lists Fluid Compute, queues, backends, workflows and a sandbox for untrusted code. That's a more developer-shaped toolkit. It's built for longer-running jobs and for safely running code you didn't write yourself, which is exactly what an AI agent produces. It doesn't headline ready-made forms or identity in the same way, so you'd expect to bring your own for those.
On AI models, both offer an AI Gateway. One pairs it with an AI SDK and access to 400+ models. The other says its gateway connects any AI model with no API keys. If you're calling models from your app, either can do the job; the difference is whether you want an SDK to build with or a shortcut that removes key management.
Framework fit and preview environments
The framework lists tell you a lot about each company's roots. One lists Next.js first and maintains Turborepo, Nitro and other projects in its menus. If your team already lives in Next.js, that closeness to the framework is a fair reason to lean that way. The other lists Astro, TanStack, Next.js, WordPress and React as starting points, which reads as broader and more neutral.
Previews are close to a draw. Both give every pull request its own preview. One adds comments on deployments, so reviewers can leave notes on the live preview. The other gives every change a private Deploy Preview and offers one-click rollback, which is reassuring if a release goes wrong.
If you'd like to see who else is in this space before you decide, our round-up of other platforms people move to from Vercel and the companion list of Netlify alternatives for front-end teams cover the wider field.
Plain advice on picking one
Go with Vercel if you build with Next.js, you're building your own AI agents, or you want agents to deploy and run code in sandboxes and durable workflows, with a gateway to a very large set of models. Go with Netlify if you want the simplest path from a prompt, Git or a dropped folder to a live site, you'd like forms, identity and storage included, and you want a free plan to start. Its homepage states a free plan; the agent-infrastructure homepage doesn't state one. Neither side's pages show an overall winner, so let your workflow decide.
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Hosting platforms beyond this pair
If neither fits, these four are the closest rivals. Each leans a different way, from network-level hosting to full virtual machines.
Cloudflare Pages
Best for: Developers already on Cloudflare who want full-stack deployment on its network, with HTTP/3, QUIC and SSL out of the box, the vendor says.
Render
Best for: Teams wanting traditional servers alongside static sites, jobs and databases, with migration guides from Heroku and Railway and sandboxes for agents.
Railway
Best for: Developers running backend services who want deploys and scaling with built-in networking, from a single instance to global deployment.
Fly.io
Best for: Anyone wanting VM-level control: apps and agent sandboxes on hardware-isolated VMs with global routing and managed Postgres.
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Frequently asked questions
Does Netlify have a free plan?
Yes, its homepage states a free plan. The agent-infrastructure platform's homepage doesn't state one, so check its sign-up page before you choose.
Which one is better for Next.js?
Vercel lists Next.js first among its frameworks and maintains related projects such as Turborepo. The prompt-first platform lists Next.js too, alongside Astro, TanStack, WordPress and React.
Can I deploy without connecting a Git repository?
Yes, on both. Each has a CLI and a drag-and-drop tool. The prompt-first one adds an anonymous CLI deploy option, and new drop projects stay private until you publish them.
Which one includes forms and user logins?
The prompt-first platform lists Forms and Identity as built-in pieces, along with a database and Blobs storage. The other homepage leads with compute, queues, workflows and sandboxes instead.
How do the AI agent features differ?
One is built for agents to deploy to it and run on it, using sandboxed VMs and durable workflows. The other lets you run Claude, Gemini, Codex or OpenCode inside its dashboard to build and change your site.
