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Vercel News

Vercel Open Source Program: Winter 2026 cohort How Notion Workers run untrusted code at scale with Vercel Sandbox How we run Vercel's CDN in front of Discourse From idea to secure checkout in minutes with Stripe Building Slack agents can be easy Scaling redirects to infinity on Vercel Advancing Python typing Gamma builds design-first agents with Vercel How Avalara turns pipe dreams into patent-pending with v0 Keeping community human while scaling with agents How OpenEvidence built a healthcare AI that physicians actually trust Security boundaries in agentic architectures Skills Night: 69,000+ ways agents are getting smarter Video Generation with AI Gateway We Ralph Wiggumed WebStreams to make them 10x faster How Stably ships AI testing agents in hours, not weeks How we built AEO tracking for coding agents Anyone can build agents, but it takes a platform to run them Introducing Geist Pixel The Vercel AI Accelerator is back with $6m in credits Making agent-friendly pages with content negotiation The Vercel OSS Bug Bounty program is now available Introducing the new v0 Run untrusted code with Vercel Sandbox, now generally available How Stripe built a game-changing app in a single flight with v0 How Sensay went from zero to product in six weeks AGENTS.md outperforms skills in our agent evals Agent skills explained: An FAQ Testing if "bash is all you need" AWS databases are now live on the Vercel Marketplace and v0
MiniMax M3 on AI Gateway - Vercel
Walter KormanSoftware EngineerJerilyn ZhengProduct, AI Gateway · 2026-05-31 · via Vercel News

MiniMax M3 is now available on Vercel AI Gateway.

M3 is MiniMax's first model with a 1M-token context window and native multimodality, built around MiniMax Sparse Attention (MSA).

M3 improves on software engineering, terminal-based tool use, and agentic web browsing, and is tuned for multi-turn collaboration.

To use MiniMax M3, set model to minimax/minimax-m3 in the AI SDK.

import { streamText } from 'ai';

const result = streamText({

model: 'minimax/minimax-m3',

prompt: 'Reproduce the bug in this GitHub issue and submit a fix.',

});

Pass an image alongside a prompt to use M3's multimodal input:

import { streamText } from 'ai';

const result = streamText({

model: 'minimax/minimax-m3',

messages: [

{

role: 'user',

content: [

{

type: 'text',

text: 'This is a screenshot of a failing test. Identify the root cause and write the patch.',

},

{

type: 'image',

image: 'https://example.com/failing-test.png',

},

],

},

],

});

AI Gateway provides a unified API for calling models, tracking usage and cost, and configuring retries, failover, and performance optimizations for higher-than-provider uptime. It includes built-in custom reporting, Zero Data Retention support, dynamic provider sorting by latency & cost, and more. AI Gateway reflects provider pricing with no markup and does not charge a platform fee on inference, including on Bring Your Own Key (BYOK) requests.

Learn more about AI Gateway, view the AI Gateway model leaderboard or try it in our model playground.