Cerebras Inference delivers ultra-fast, OpenAI API-compatible inference for frontier and open-weight models, with cloud, dedicated, and on-prem options.
Cerebras is an AI inference platform built on wafer-scale hardware, offering ultra-fast, OpenAI API-compatible access to frontier and open-weight models. Developers can serve models in seconds via a public cloud endpoint with an API key, or deploy dedicated and on-premise capacity for production workloads. The platform supports coding, agentic workflows, instant answers, and real-time voice interactions, and also provides fine-tuning and training options. A self-serve Developer tier offers pay-as-you-go pricing with a one-time $5 promotional credit, while Enterprise provides production-ready capacity, higher rate limits, and dedicated support by quote.
How to use Cerebras
1
Get an API key
Sign up at cloud.cerebras.ai to obtain an API key for the public inference endpoint.
2
Call models via OpenAI-compatible API
Use drop-in OpenAI API compatibility to send requests to supported models such as GPT OSS 120B or Qwen 3.8 27B.
3
Choose a deployment option
Start on the cloud endpoint, then move to dedicated or on-premise deployment for production capacity and data residency needs.
4
Fine-tune or train models
Use the platform to fine-tune or pre-train models with your own data for specific use cases, available by agreement on Enterprise.
Cerebras Features
Ultra-fast inference on wafer-scale hardware
OpenAI API compatibility for drop-in integration
Cloud, dedicated, and on-premise deployment options
Support for frontier and open-weight models
Fine-tuning and training services available by agreement
In-region inference for latency and data residency
Cerebras Use Cases
Coding assistants that need instant code generation and refactoring
Agentic workflows requiring multi-step execution without timeouts
Real-time voice and chat applications needing low latency
Deep search and analysis copilots requiring sub-second reasoning
Cerebras FAQs
The Developer tier lists GPT OSS 120B and Qwen 3.8 27B. Enterprise provides access to all supported models for the applicable deployment.
A one-time $5 promotional credit is available after adding a valid payment method. It expires 30 days after activation, and API and Playground access pause when it expires or is exhausted unless you purchase PayGo credits.
Developer is self-serve pay-as-you-go. For GPT OSS 120B, input is $0.35 per 1M tokens and output is $0.75 per 1M tokens; for Qwen 3.8 27B, input is $0.99 per 1M tokens and output is $1.49 per 1M tokens.
No, the Developer tier is intended for development, evaluation, and experimentation and is not intended for production use. Enterprise is positioned for production workloads.
Enterprise includes production-ready capacity, best priority with higher rate limits and enhanced latency options, a dedicated account team, and options for custom model weights and fine-tuning/training services by agreement. Pricing is available by quote.
Yes, Cerebras offers drop-in OpenAI API compatibility, so you can get started quickly with existing OpenAI-style integrations.
Cerebras offers cloud, dedicated, and on-premise deployment options, with inference running in-region to support latency and data residency requirements.
Yes, Cerebras Inference is available through partner APIs including AWS Marketplace, OpenRouter, Hugging Face, and Vercel.
Developer tier is self-serve pay-as-you-go with a one-time $5 promotional credit that expires 30 days after activation. Enterprise pricing is available by quote.
Developer
$0.35USD / per 1M input tokens (GPT OSS 120B)
Self-serve pay-as-you-go tier for development, evaluation, and experimentation; not intended for production use. Includes a one-time $5 promotional credit.
World's fastest inference
Leading open-weight models: GPT OSS 120B and Qwen 3.8 27B
Leading price performance
Community Discord support
One-time $5 promotional credit with valid payment method
Enterprise
/ contact for quote
Production workloads with dedicated account team, higher rate limits, and options for custom model weights and fine-tuning/training services by agreement.
Production-ready capacity
Best priority, higher rate limits, and enhanced latency options
All supported models available for applicable deployment
Dedicated account team
Customize model weights and fine-tuning/training services by agreement