Groq is an AI inference platform that leverages its custom-built LPU (Language Processing Unit) architecture to deliver exceptionally fast and cost-effective processing for various AI models, including large language models, speech-to-text, and text-to-speech.

How much does Groq cost?

Groq operates on a freemium, usage-based pricing model. A free tier is available for building and testing, while the Developer tier offers pay-per-token pricing with higher limits and additional features. Enterprise plans are available for custom, large-scale solutions.

Groq enables developers to deploy and run AI models with high speed and low latency. It supports features like prompt caching, batch processing, structured outputs, and agentic AI systems with built-in web search and code execution, making it suitable for real-time AI applications.

Is Groq compatible with OpenAI?

Yes, Groq offers OpenAI-compatible APIs, allowing developers to seamlessly integrate Groq into their applications with minimal code changes, often by simply updating the API key and base URL.

Groq offers a free tier that provides access to its APIs for building and testing, along with community support. Paid tiers are available for scaling up with higher usage limits and advanced features.

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Quick Answer

Groq is an AI inference platform that provides ultra-fast, low-cost processing for large language models and other AI models, powered by its custom LPU architecture. It offers an OpenAI-compatible API, SDKs, and features like prompt caching and batch processing. Best for developers and enterprises building real-time, scalable AI applications. It operates on a freemium, usage-based pricing model.

About Groq

Groq is an AI inference platform built for developers, offering ultra-fast, low-latency processing for large language models, speech-to-text, and text-to-speech. Powered by custom LPU architecture, it provides predictable costs and supports OpenAI-compatible APIs for seamless integration. GroqCloud is ideal for scaling AI applications from prototype to production.

What Makes It Unique

Groq pioneered and utilizes a custom-built LPU (Language Processing Unit) chip, purpose-built for inference, which delivers exceptional speed and affordability at scale compared to traditional GPU-based solutions.

AI-extracted from public sources. May contain errors. Methodology · Are you Groq? Claim listing

Use Cases & Target Users

Use Cases

Agentic AI

Best For

Developing real-time AI applications

Scaling large language model inference

Building agentic coding applications

Migrating existing OpenAI API integrations

Fit Score

Complexity

Advanced

Target Team Size

INDIVIDUAL

SMALL_TEAM

LARGE_TEAM

Target Skill Level

EXPERT

Key Features

LPU architecture for ultra-fast inference

GroqCloud platform for scalable AI deployment

OpenAI compatible API for easy migration

Support for various LLMs, STT, TTS, and image-to-text models

Prompt caching for cost savings and faster responses

Batch API for asynchronous processing of large workloads

Technical Specifications

API Available

SDK Available

MCP Compatible

Open Source

Team Features

SSO/Enterprise

Compliance, Privacy & Trust

GDPR (as claimed): Yes

SOC 2 (as claimed): Yes

HIPAA (as claimed): No

Trains on user data: No

Pros

+Achieves record-setting inference speeds with low latency
+Offers predictable and transparent pricing with significant cost savings
+Features a custom-built LPU chip optimized for AI inference
+Provides an OpenAI-compatible API for easy integration and migration
+Supports a wide range of popular open-source and proprietary AI models
+Includes advanced features like prompt caching and batch processing

Limitations

-Primarily focused on inference, not AI model training
-Some advanced features like Compound systems are in beta
-Requires technical expertise for API integration and development
-Performance benefits are tied to Groq's proprietary LPU architecture

Base Models

Llama 3Mixtral 8x7BGemma

Uses Models

GPT OSS 20BGPT OSS SafeGPT OSS 120BKimi K2-0905

Decision Intelligence

Best For

Developing real-time AI applications

Scaling large language model inference

Building agentic coding applications

Migrating existing OpenAI API integrations

Processing high-volume AI workloads asynchronously

Not Ideal For

Training large AI models from scratch

Users seeking a no-code or low-code AI development platform

Applications that do not prioritize inference speed or cost efficiency

Users who prefer GPU-only inference solutions

Frequently Asked Questions

Your Actions

Dimension Scores

Ease of Use6/10

Output Quality8/10

Value for Money9/10

Customization6/10

Support7/10

Integration8/10

Task Scores

Performance Optimization

Multi Language Support

Code Completion

Code Explanation

Context Understanding

Bug Detection

Refactoring

Documentation Generation

Trust Score

49/100

Limited Data

Based on 7 data signals

Reflects publicly available data, not an independent audit

Social Proof10/40

Customers (per vendor website)McLaren F1 Team, PGA of America, Fintool +7

Company Strength25/25

Team Size201-500

FundingApproximately $3 billion

Company ListedGroq, Inc.

Operational Trust4/20

Data ResidencyUS, EU, APAC

Compliance10/15

GDPR (as claimed)Yes

SOC 2 (as claimed)Yes

Switching & Migration

Migration Difficulty

Moderate Effort

Data portable as:

API

Community Forum, Chat Support, Dedicated Support

API Access

AI Tools

AI Tools

Groq

Quick Answer

Decision Intelligence

Best For

Not Ideal For

Frequently Asked Questions

What is Groq?

How much does Groq cost?

What can Groq do?

Is Groq compatible with OpenAI?

Is Groq free to use?

Dimension Scores

Task Scores

Trust Score

Switching & Migration