Vercel debuts an AI model optimized for web development

Ceacer · May 22

The team behind Vercel’s V0, an AI-powered platform for web creation, has developed an AI model it claims excels at certain website development tasks.

Available through an API, the model, called “v0-1.0-md,” can be prompted with text or images, and was “optimized for front-end and full-stack web development,” the Vercel team says. Currently in beta, it requires a V0 Premium plan ($20 per month) or Team plan ($30 per user per month) with usage-based billing enabled.

We're releasing v0's AI model:
• Specialized web-dev knowledge
• OpenAI-compatible API
• Use in Cursor, Codex, or your own app
Now in beta in the API, AI SDK, or AI Playground.
— v0 (@v0) May 22, 2025

The launch of V0’s model comes as more developers and companies look to adopt AI-powered tools for programming. According to a Stack Overflow survey last year, around 82% of developers reported that they’re using AI tools for writing code. Meanwhile, a quarter of startups in Y Combinator’s W25 batch have 95% of their codebases generated by AI, per YC managing partner Jared Friedman.

Vercel’s model can “auto-fix” common coding issues, the Vercel team says, and it’s compatible with tools and SDKs that support OpenAI’s API format. Evaluated on web development frameworks like Next.js, the model can ingest up to 128,000 tokens in one go.

Tokens are the raw bits of data that AI models work with, with a million tokens being equivalent to about 750,000 words (roughly 163,000 words longer than “War and Peace”).

Vercel isn’t the only outfit developing tailored models for programming, it should be noted. Last month, JetBrains, the company behind a range of popular app development tools, debuted its first “open” AI coding model. Last week, Windsurf released a family of programming-focused models dubbed SWE-1. And just yesterday, Mistral unveiled a model, Devstral, tuned for particular developer tasks.

Companies may be keen to develop — and embrace — AI-powered coding assistants, but models still struggle to produce quality software. Code-generating AI tends to introduce security vulnerabilities and errors, owing to weaknesses in areas like the ability to understand programming logic.

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