Fireworks AI
Fireworks is an inference platform optimized for running open-source models (Llama, DeepSeek, Mistral) at production scale with competitive speed and cost.
Why Vibe Coders Use It
- Open models at scale — fast, reliable access to Llama, DeepSeek, Mixtral
- Image generation — run Stable Diffusion, FLUX for image generation tasks
- Fine-tuning — upload and serve your own fine-tuned models
- Production SLAs — enterprise-grade reliability for customer-facing AI
- Competitive pricing — often cheaper than Claude or GPT for equivalent performance
Key Specs
| Dimension | Value |
|---|---|
| Best for | Open-source models at scale, image generation, fine-tuning |
| Supported models | Llama 3.3, DeepSeek, Mixtral, Codestral, and 200+ others |
| Latency | ~200-400ms (good performance) |
| Fine-tuning | Yes — upload datasets, customize for your domain |
| Image generation | Yes — Stable Diffusion, FLUX support |
| API availability | REST API, Fireworks SDK, Vercel AI SDK |
| Pricing tier | ~$0.50-$1.50 per 1M tokens (varies by model) |
Getting Started
1. Sign Up for Fireworks
Visit fireworks.ai and create an account.
2. Get an API Key
Generate an API key from your Fireworks dashboard.
3. Install the AI SDK Provider
npm install @ai-sdk/fireworks
4. Quick Chat Example
import { fireworks } from '@ai-sdk/fireworks';
import { generateText } from 'ai';
const { text } = await generateText({
model: fireworks('accounts/fireworks/models/llama-v3p3-70b-instruct'),
prompt: 'Build a validation function for email addresses in TypeScript',
});
console.log(text);
5. Using DeepSeek for Complex Reasoning
import { fireworks } from '@ai-sdk/fireworks';
import { generateText } from 'ai';
const { text } = await generateText({
model: fireworks('accounts/fireworks/models/deepseek-r1'),
prompt: 'Design a distributed cache invalidation strategy for a multi-region system',
});
6. Image Generation Example
import { fireworks } from '@ai-sdk/fireworks';
import { experimental_generateImage as generateImage } from 'ai';
const { image } = await generateImage({
model: fireworks.image('accounts/fireworks/models/stable-diffusion-xl-1024-v1-0'),
prompt: 'A modern, minimalist UI mockup for a task management app',
});
console.log(image.url);
7. Fine-Tuning Your Model
// Upload training data
const finetuneResponse = await fetch(
'https://api.fireworks.ai/inference/v1/fine_tune',
{
method: 'POST',
headers: { 'Authorization': `Bearer ${FIREWORKS_API_KEY}` },
body: JSON.stringify({
account_id: 'your-account',
model: 'accounts/fireworks/models/llama-v3p3-70b-instruct',
training_data: [
{
messages: [
{
role: 'system',
content: 'You are a technical documentation expert',
},
{ role: 'user', content: '...' },
],
},
],
}),
}
);
// Your fine-tuned model is ready to use
8. Streaming Chat
import { fireworks } from '@ai-sdk/fireworks';
import { streamText } from 'ai';
export async function POST(req: Request) {
const { messages } = await req.json();
const result = streamText({
model: fireworks('accounts/fireworks/models/llama-v3p3-70b-instruct'),
messages,
});
return result.toDataStreamResponse();
}
When to Use Fireworks vs. Alternatives
Use Fireworks when you want reliable, scalable access to open models with fine-tuning support. Use Claude or GPT if you need the strongest proprietary reasoning.
Popular Models
- Llama 3.3 70B — Strong general-purpose
- DeepSeek-R1 — Excellent reasoning
- Mixtral 8x7B — Efficient, capable
- Codestral — Code generation specialist
Resources
- Fireworks AI Official
- Fireworks AI Documentation
- Fireworks AI Model Library
- AI SDK Fireworks Provider
- See the full Fireworks profile on LLMReference →