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.
At a glance · prices collected Oct 27, 2026
What's good about Groq
- 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 LLM API prices
Pay-per-token pricing, per 1M tokens.
Prices last updated October 27, 2026
| Model | Input/1M | Output/1M |
|---|---|---|
| $0.040/min | - | |
| $0.075 | $0.300 | |
| $0.150 | $0.600 |
Groq pricing by model
Input, output, and batch rates, plus alternatives, for one model at a time.
Billing & terms
- 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
- 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
Watch out for
- 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
Features
- 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
- Free Tier Available
- Rate-limited free access for experimentation and small projects
Getting started
Step 1
Create an account
Sign up at console.groq.com with email or OAuth
Step 2
Get API key
Generate an API key from the console dashboard
Step 3
Make API calls
Use the OpenAI-compatible endpoint with your preferred model
Where this page's facts come from
- LLM API prices
- console.groq.com · last collected Oct 27, 2026
- Profile
- Reviewed Mar 14, 2026
- Method
- How we collect and check prices
Frequently Asked Questions
Which models does Groq serve?
Check the pricing table above for the models Groq currently serves and their per-token rates.
How do I get started with Groq?
Create an account, Get API key, Make API calls
What are Groq's main advantages?
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.
What are Groq's limitations?
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.
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