What is the difference between Cerebras and Groq?

Cerebras and Groq are both cloud GPU providers offering different pricing models, features, and GPU availability. Use our comparison tool to see real-time pricing and feature differences.

Which is cheaper: Cerebras or Groq?

Pricing varies by GPU model and usage requirements. Check our real-time comparison table to find the best deals for your specific needs.

Can I switch between Cerebras and Groq?

Yes, both providers offer flexible cloud GPU services. However, consider factors like data transfer costs, setup time, and specific features when switching between providers.

Cerebras vs Groq

Compare LLM inference API pricing between Cerebras and Groq. Find the best rates for AI training, inference, and ML workloads.

Cerebras

Provider 1

Models Available

Visit Website

Groq

Provider 2

Models Available

Visit Website

Comparison Overview

Total LLM Models

Cerebras Models

Groq Models

Direct Comparisons

LLM API Pricing Comparison

Total models: 3Both available: 1Cerebras: 2Groq: 2

Showing 3 of 3 models

Prices per 1M tokens · Last updated: 10/27/2026, 5:33:42 AM

Model ↑	Cerebras	Groq	Input Diff ↕
GPT-OSS-120B OpenAI	$0.350 in $0.750 out	$0.150 in $0.600 out	$0.200
GPT-OSS-20B OpenAI	Not available	$0.075 in $0.300 out	—
Qwen3.8 27B Alibaba	$0.990 in $1.49 out	Not available	—

Features Comparison

Cerebras

Wafer-Scale Inference
Models run on the Cerebras Wafer-Scale Engine, which keeps model weights in on-chip SRAM to reach published speeds in the thousands of tokens per second
OpenAI-Compatible API
Chat Completions and Completions endpoints at api.cerebras.ai/v1, usable from the OpenAI SDKs or the Cerebras Python and TypeScript SDKs
Open-Weight Model Catalog
Public endpoints serve unmodified open-weight models such as OpenAI GPT OSS and Qwen, with a documented policy of no pruning on hosted models
Reasoning and Tool Calling
Configurable reasoning effort, streaming, structured outputs, parallel tool calling, and prompt caching across the catalog
Image Inputs
Vision-capable models accept PNG and JPEG images alongside text
Dedicated Endpoints
Private, provisioned endpoints on reserved capacity with fine-tuning, weight management, and additional model families, arranged through sales

Groq

LPU-Powered Inference
Custom Language Processing Units run inference, with 256 LPUs and 128 GB of on-chip SRAM per rack
OpenAI-Compatible API
Drop-in replacement for the OpenAI API at api.groq.com/openai/v1, including a Responses API
Layered Platform
GroqMetal bare-metal infrastructure, GroqCore inference stack, and GroqAssured enterprise governance, each including the layers below
Multimodal Endpoints
Text generation plus speech-to-text, text-to-speech, OCR and image recognition, and content moderation models
Agentic Systems and Built-In Tools
Compound systems that combine models with web search, code execution, remote MCP tools, and Google Workspace connectors
Service Tiers
Performance, flex, and batch processing tiers, plus prompt caching, structured outputs, and LoRA inference

Pros & Cons

Cerebras

Advantages

Published throughput in the thousands of tokens per second on public models
Drop-in OpenAI-compatible API with first-party Python and TypeScript SDKs
Serves original, unpruned open-weight models with a stated no-modification policy
Free trial credits on signup, then self-serve pay-as-you-go

Considerations

Very small public model catalog compared with GPU-based inference providers
Free-tier context windows are roughly half the paid-tier limits
Preview models can be withdrawn and are not intended for production use

Groq

Advantages

High published token speeds (500 t/s on GPT-OSS 120B, 1,000 t/s on GPT-OSS 20B)
OpenAI-compatible API for easy integration
Competitive pricing for open-weight models
Free tier available for testing

Considerations

Small model catalog: production text models are limited to OpenAI GPT-OSS
Focus on inference only - no training capabilities
Several models are preview-only and may be discontinued at short notice

Compute Services

Cerebras

Groq

Pricing Options

Cerebras

Free Trial

Time-limited credits granted on signup, with lower rate limits and context windows than paid tiers

Developer (Pay as You Go)

Prepaid credits billed per million input and output tokens at published per-model rates

Enterprise and Dedicated Endpoints

Reserved capacity, higher rate limits, and additional models on custom terms through sales

Groq

Pay-per-token

Token-based pricing with separate input/output rates; audio models are billed per hour and speech models per character

Batch and flex processing

Alternative service tiers for throughput-tolerant or bursty workloads instead of the standard on-demand tier

Enterprise capacity

Dedicated capacity and enterprise-only models quoted through sales

Free tier

Rate-limited free access for development and testing

Getting Started

Cerebras

Get Started

1
Create an account
Sign up at cloud.cerebras.ai and add a payment method to activate the free trial
2
Get an API key
Generate a key from the Cloud Console
3
Install an SDK
pip install cerebras_cloud_sdk or npm install @cerebras/cerebras_cloud_sdk, or use the OpenAI SDK pointed at api.cerebras.ai/v1
4
Make a request
Call chat completions with a model ID from the catalog, such as gpt-oss-120b

Groq

Get Started

1
Create an account
Sign up at console.groq.com with email or OAuth
2
Get API key
Generate an API key from the console dashboard
3
Make API calls
Use the OpenAI-compatible endpoint with your preferred model

Support & Global Availability

Cerebras

Global Regions

Cerebras-operated data centers in North America, with expansion into Europe; no region selection on the public API

Support

Documentation and API reference, model-specific guides, Cloud Console usage monitoring, Discord community, and enterprise support for dedicated customers

Groq

Global Regions

13 data centers across four continents, including sites in the US (Liberty Lake, St Paul, Dallas, Houston), Canada (Kamloops, Vaudreuil-Dorion, Calgary), Finland, the UK, Australia, and Saudi Arabia

Support

Documentation and API reference, developer community, production readiness guides, and enterprise onboarding via sales