Fast LLM inference on custom LPU hardware
Last reviewed Mar 14, 2026
Groq runs LLM inference on its custom LPU (Language Processing Unit) hardware, offering an OpenAI-compatible API for open-weight models alongside dedicated bare-metal capacity for production inference.
Pay-per-token pricing. Prices shown per 1M tokens.
Prices last updated: September 9, 2026
| Model | Input/1M | Output/1M |
|---|---|---|
| $0.040/sec | - | |
| $0.075 | $0.300 | |
| $0.150 | $0.600 | |
| $0.600 | $3.00 | |
| $0.800 | $4.00 |
Input, output, and batch rates, plus alternatives, for one model at a time.
Custom Language Processing Units run inference, with 256 LPUs and 128 GB of on-chip SRAM per rack
Drop-in replacement for the OpenAI API at api.groq.com/openai/v1, including a Responses API
GroqMetal bare-metal infrastructure, GroqCore inference stack, and GroqAssured enterprise governance, each including the layers below
Text generation plus speech-to-text, text-to-speech, OCR and image recognition, and content moderation models
Compound systems that combine models with web search, code execution, remote MCP tools, and Google Workspace connectors
Performance, flex, and batch processing tiers, plus prompt caching, structured outputs, and LoRA inference
Rate-limited free access for experimentation and small projects
| Option | Details |
|---|---|
| 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 |
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
Documentation and API reference, developer community, production readiness guides, and enterprise onboarding via sales
Sign up at console.groq.com with email or OAuth
Generate an API key from the console dashboard
Use the OpenAI-compatible endpoint with your preferred model
Check the pricing table above for the models Groq currently serves and their per-token rates.
Create an account, Get API key, Make API calls
Groq's main advantages include: 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, Data centers on four continents, including the US, Canada, Finland, the UK, Australia, and Saudi Arabia.
Groq's main limitations include: 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, Enterprise-tier models require contacting sales rather than self-serve pricing.
Find the best prices for the same GPUs and models from other providers