How to Use Mistral with the Vercel AI SDK — Mistral Provider Guide

In this tutorial, you'll learn how to use Mistral models with the Vercel AI SDK through Puter's OpenAI-compatible provider endpoint. No Mistral API key needed — just your Puter auth token.

About Mistral

Mistral AI is a French AI company known for building efficient, high-performance models. Their models offer a strong balance between quality and speed, with particularly good performance on European languages. Mistral models are popular in the open-source community and in enterprise deployments. Through Puter, you can access Mistral with the Vercel AI SDK — no Mistral API key needed.

Prerequisites

• A Puter account
• Your Puter auth token, go to puter.com/dashboard and click Copy to get your auth token

• Node.js installed on your machine

Setup

Install the Vercel AI SDK and the OpenAI provider:

npm install ai @ai-sdk/openai

Puter works as an OpenAI-compatible provider, so you use @ai-sdk/openai to connect. Configure it with Puter's base URL and your auth token:

import { createOpenAI } from '@ai-sdk/openai';

const puter = createOpenAI({
  baseURL: 'https://api.puter.com/puterai/openai/v1/',
  apiKey: 'YOUR_PUTER_AUTH_TOKEN',
});

Replace YOUR_PUTER_AUTH_TOKEN with the auth token you copied from your Puter dashboard. That's all you need. No Mistral API key required.

Basic Text Generation

Here's a simple text generation call using Mistral Large 3:

import { createOpenAI } from '@ai-sdk/openai';
import { generateText } from 'ai';

const puter = createOpenAI({
  baseURL: 'https://api.puter.com/puterai/openai/v1/',
  apiKey: 'YOUR_PUTER_AUTH_TOKEN',
});

const { text } = await generateText({
  model: puter.chat('mistralai/mistral-large-2512'),
  prompt: 'What is the capital of France?',
});

console.log(text);

The code is identical to what you'd write for any OpenAI provider. The only difference is the base URL and the model string.

Streaming

For longer responses, use streamText to get results in real-time:

import { createOpenAI } from '@ai-sdk/openai';
import { streamText } from 'ai';

const puter = createOpenAI({
  baseURL: 'https://api.puter.com/puterai/openai/v1/',
  apiKey: 'YOUR_PUTER_AUTH_TOKEN',
});

const result = streamText({
  model: puter.chat('mistralai/mistral-large-2512'),
  prompt: 'Write a short story about a robot learning to paint.',
});

for await (const chunk of result.textStream) {
  process.stdout.write(chunk);
}

Use streamText instead of generateText and iterate over result.textStream to get text chunks as they arrive.

Why Use Puter?

You could install @ai-sdk/mistral and use Mistral's API key directly. Here's why Puter is a simpler option:

• One API key for everything — no need to sign up for separate Mistral, Anthropic, or OpenAI accounts. Your Puter auth token covers all providers.
• One setup for all models — the same Puter config works for Claude, GPT, Gemini, Llama, and 400+ other models. Just change the model string.
• No extra packages — without Puter, each AI provider needs its own SDK package and API key. With Puter, everything goes through a single @ai-sdk/openai setup.

Conclusion

You now have the Mistral provider set up through the Vercel AI SDK via Puter — no API key needed. Swap the model string to use any Mistral model, from the lightweight Small to the powerful Large, or any of the hundreds of other AI models available through Puter.

Related

• How to Use Vercel AI SDK with Puter
• Free, Unlimited Mistral API
• Mistral AI Models on Puter
• Access Llama Using Vercel AI SDK
• Access Perplexity Using Vercel AI SDK
• Supported AI Models