Fireworks.ai

🤖 Managed Inference

Uncompromising Speed and Precision Fireworks.ai was founded by former Meta engineers who led the PyTorch project, bringing unparalleled expertise in…

🏢 Redwood City, CA, USA📅 Since 2022★ 9.0/10🌐 Website ↗
Avg Latency
<15ms
Rate Limits
600 RPM (Free), Custom (Pro)
Free Tier
✓ Available
API Protocol
OpenAI-compatible API

Uncompromising Speed and Precision

Fireworks.ai was founded by former Meta engineers who led the PyTorch project, bringing unparalleled expertise in AI optimization. They utilize a proprietary inference engine called FireAttention, which allows them to serve massive open-source models with industry-leading throughput and latency. For developers building agentic workflows where speed is critical, Fireworks routinely ranks at the top of independent benchmarks alongside Together AI and Groq.

Advanced Enterprise Tooling

While many providers offer raw inference, Fireworks excels in the subtle requirements of modern AI application development. They offer robust, natively supported JSON Mode (guaranteeing the LLM outputs perfect JSON structures) and highly reliable Function/Tool Calling for open-source models. This makes Fireworks the premier destination for developers building autonomous AI agents that need to interact with external APIs.

Serverless and Dedicated Deployments

Fireworks offers highly competitive per-token serverless endpoints for standard models. For enterprise customers requiring guaranteed SLAs or strict data privacy, they provide dedicated deployments. This allows companies to deploy highly fine-tuned, specialized models onto isolated hardware while still benefiting from the extreme speed of the FireAttention engine.

Supported Workloads

LLMVision

Pros & Cons

Pros
  • Top-tier latency and throughput
  • FireAttention proprietary optimization
  • Excellent support for JSON Mode and Tool Calling
Cons
  • UI is slightly more complex than competitors
  • Vision models are still maturing

Served Models

Llama 3, Mixtral, Qwen, FireLLaVA

Data Privacy Policy

SOC 2 Type II, HIPAA available

OpenAI-compatible API

Drop-in replacement for OpenAI. Change one line of code — point your base URL to Fireworks.ai's endpoint instead of api.openai.com. All existing OpenAI SDKs (Python, Node.js) and libraries like LangChain or LlamaIndex will work out of the box.

Quick Start Snippet
Python
from openai import OpenAI
# Initialize the client pointing to Fireworks.ai
client = OpenAI(
 api_key='YOUR_API_KEY',
 base_url='https://fireworks.ai/v1'
)
# Run inference
response = client.chat.completions.create(
 model='your-chosen-model',
 messages=[{'role': 'user', 'content': 'Hello, world!'}]
)
WebsiteVisit Official Site ↗
Billing Model
Per-token billing

You pay purely based on input and output tokens. The most cost-effective and predictable model for LLM inference.

Generous Free Tier Available

Start building without a credit card. Perfect for prototyping and testing the API before scaling into production workloads.

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Fireworks.ai
🤖 Managed Inference
✓ Free tier available
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OpenAI SDK Compatible
Start for Free (No CC)
Scale to 0 (No idle costs)

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