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Groq (2026)

Expert Reviewed
by Albert SchaperLast reviewed: Oct 23, 2026

Fast, low cost inference.

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2 ratings
4.5
Monthly users
1.9M
Pricing
Freemium / Pay-per-Use
Platform
Web App / API
Best for
Software Developers / AI Enthusiasts

Overview

Groq is a cloud for fast, affordable AI inference. It runs AI models on Groq's own LPU chips, and with LPX alongside NVIDIA's next-generation GPUs, for reliable inference at scale. Developers start building through the Groq platform and API.

Groq Conversational AI showing Conversational AI - Fast, low cost inference.

Key Features

Memory across sessions

Groq remembers previous conversations to provide consistent, context-aware responses. Currently optimized for Web App.

Automation-ready endpoints

Webhook and API support keep Groq aligned with bespoke internal processes.

Tooling for engineering teams

Type-safe SDKs provide autocomplete and compile-time checks for faster development.

Rate this Tool

4.5 / 5based on 2 ratings

About Groq

“Fast, low cost inference.”

Groq is a conversational ai tool developed by Groq (US) designed for software developers, ai enthusiasts and business executives. Groq is an AI inference infrastructure solution for software developers, AI enthusiasts, enterprises, and scientists that delivers ultra-fast, low-cost, and predictable inference via its pioneering Language Processing Unit (LPU) and GroqCloud platform. Pricing: Free, Pay-per-Use, Enterprise. With over 1.9 million monthly visits, Groq has established a significant user base. Groq follows a freemium / pay-per-use / enterprise pricing model, with plans starting with a free plan. It is available on Web App and API. Developer integration is supported through Python and C/C++ SDKs. Groq integrates with Plugin/Integration. It competes in the same space as NVIDIA, AWS Inferentia and Google TPU. Explore more conversational ai tools or browse all categories.
Conversational AICompareSoftware Developers

Groq Snapshot

Key facts we track so you can judge fit before visiting the provider.

Primary category
Conversational AI
Best fit
Software Developers, AI Enthusiasts, Business Executives +3 more
Platforms
Web App, API
Pricing signal
Freemium, Pay-per-Use +1 more
Provider context
Groq - US
Known integrations
Plugin/Integration
Developer access
API documentation, Python, C/C++
Data handling
Global hosting, Privacy policy linked

Before you choose Groq

  • Confirm Groq's current limits, renewal terms, and seat pricing on the official site.
  • Review privacy, retention, and data-processing terms before using sensitive data.
  • Test the integrations or API path against one real workflow before rollout.
  • Make sure the supported platform matches where your team actually works.

Listing data is compiled from structured provider information, public signals, submissions, and periodic checks where available. Treat this page as a shortlist aid, then verify pricing, compliance, and product limits with the provider before making a business-critical decision.

How Groq Works

Understanding the core functionality and approach of Groq.

Groq charges based on real activity, making it ideal for variable workloads. Budget planning becomes simpler when costs directly reflect output volume. Groq appears to use usage-based billing, so teams should estimate volume before committing.

Key Features

Explore what makes Groq stand out.

Memory across sessions

Groq remembers previous conversations to provide consistent, context-aware responses. Currently optimized for Web App.

Automation-ready endpoints

Webhook and API support keep Groq aligned with bespoke internal processes.

Tooling for engineering teams

Type-safe SDKs provide autocomplete and compile-time checks for faster development.

LLM Comparison GuidePrompt Engineering Guide

Use Cases

Discover how different audiences leverage Groq.

AI Enthusiasts

Enhance teaching & learning

Groq adapts to different learning styles and paces for more effective education.

Software Developers

Build automations & integrations

Developer teams use the API to automate processes and extend internal apps within Groq.

Learn more: AI Tools for Developers

FAQ about Groq

What is Groq and what does it do?

Groq is Fast, low cost inference.. Groq is a cloud for fast, affordable AI inference. It runs AI models on Groq's own LPU chips, and with LPX alongside NVIDIA's next-generation GPUs, for reliable inference at scale. Developers start building through the Groq platform and API. Available on Web App, API, Groq is designed to enhance productivity and deliver professional-grade conversational ai capabilities.

How much does Groq cost?

Groq offers Freemium, Pay-per-Use, Enterprise pricing options. Pay-per-use token-based pricing on the Developer plan, e.g. GPT OSS 120B $0.15 input / $0.60 output per 1M tokens, GPT OSS 20B $0.075 / $0.30, Qwen3.8-27B $0.80 / $4.00, Whisper Large V3 $0.111 per hour; Llama 3. You can start with a free tier to test the platform before committing to a paid plan. For the most current pricing details and plan comparisons, visit the official Groq pricing page or contact their sales team for custom enterprise quotes. See also Free vs Paid AI Tools for guidance on choosing the right plan.

Is Groq secure and compliant with data privacy regulations?

Groq takes data privacy seriously and implements industry-standard security measures. Data is hosted in Global, providing transparency about where your information resides. For comprehensive details about data handling, encryption, and privacy practices, review their official privacy policy. Security and compliance are continuously updated to meet evolving industry standards.
What platforms does Groq support?
Groq is available on Web App, API. The web application provides full functionality directly in your browser without requiring downloads. API access allows developers to integrate Groq capabilities directly into their own applications and workflows. This multi-platform approach ensures you can use Groq wherever and however you work best.
How can I try Groq before purchasing?
The freemium model gives you access to essential features at no cost, with premium capabilities available through paid upgrades. Testing the platform before committing ensures it meets your specific requirements and integrates smoothly with your existing workflows. Support for C/C++, Python, TensorFlow makes it accessible to global users.
What file formats does Groq support?
Groq accepts Text prompts sent via API calls to hosted open-weight LLMs. as input formats, making it compatible with your existing files and workflows. Output is delivered in Generated text completions and streaming chat responses, returned as API JSON., ensuring compatibility with downstream tools and platforms. This format flexibility allows seamless integration into diverse tech stacks and creative pipelines.
Who develops and maintains Groq?
Groq is developed and maintained by Groq, based in US. Most recently updated in October 2026, the platform remains actively maintained with regular feature releases and bug fixes. This ongoing commitment ensures Groq stays competitive and aligned with industry best practices.
How do I get access to Groq?
Groq is freely available to everyone without registration requirements. You can start using the platform immediately without going through lengthy approval processes.
How is usage measured and billed in Groq?
Groq uses API Calls, Pay-as-You-Go as billing metrics. API-based billing tracks the number of requests made to the service, providing predictable costs for developers. This usage model ensures you only pay for what you actually use, avoiding unnecessary overhead costs for features you don't need.
What deployment options does Groq offer?
Groq supports Cloud deployment configurations. Cloud-hosted options provide instant scalability without infrastructure management overhead. Choose the deployment model that best aligns with your technical requirements, security constraints, and operational preferences.

Related AI News & Insights

Stay updated with the latest news and insights about Groq and the AI industry.

DeepSeek Open-Sources DeepInfer to Reduce AI Inference Costs and Boost Affordability – deepseek
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DeepSeek Open-Sources DeepInfer to Reduce AI Inference Costs and Boost Affordability

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DeepSeek open-sourced DeepInfer on October 20, 2026, the inference engine behind its V4.1-Flash model. This move under Apache License 2.0 aims to cut AI compute costs and energy use, making AI more affordable and competitive.
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MiniMax M3.1 Flash: China's New AI Price War Challenger Undercuts US Frontier Models by 10x

ByAlbert Schaper
3 min read
MiniMax's M3.1 Flash, released October 20, 2026, scores 42 on the Artificial Analysis Intelligence Index with a weighted cost of $0.22 per task, challenging US frontier models on price and performance.
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For tool providers

Keep Groq's listing accurate

Providers can update product facts, pricing context, screenshots, and launch notes. Paid placements are labeled separately and do not replace editorial or data-quality review.

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How to Evaluate Groq

Compare Groq with NVIDIA, AWS Inferentia, Google TPU and other alternatives before you decide. The goal is not to pick the most popular product; it is to find the tool that fits your actual workflow, risk level, and budget.

  1. Step 1Test Groq with one real workflow before moving important work into it.
  2. Step 2Model the full monthly cost at your expected usage, including seats, limits, and overages.
  3. Step 3Verify the integration path with your existing stack before you commit.
  4. Step 4Review privacy, retention, and compliance terms before using sensitive data.

For developer teams, inspect the Python SDK and C/C++ support. Review the API documentation for auth, rate limits, errors, and export behavior. For broader context, browse more conversational ai tools for software developers, or compare this page against the category hub. New to AI tool evaluation? Start with AI Tool Navigator.

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