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DeveloperMaintained by VettedlyUpdated May 2026

Groq

Low-latency AI inference platform for real-time language and voice applications.

Groq provides fast inference infrastructure for developers building assistants, agents, and interactive AI experiences.

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Extractable verdict

Groq fits code editing and refactoring teams

Groq helps developers building real-time AI assistants evaluate Low-latency AI inference platform for real-time language and voice applications.

Best for
  • Developers building real-time AI assistants
  • Teams benchmarking low-latency inference providers
Worst for
  • Available models restricted to Groq's curated list
  • Enterprise-only models require contact for access
Price anchor
$0.05 per million input tokens (Llama 3.1 8B) / $0.30 per, free tier available

Vettedly take

Updated May 2026

Groq is a high-performance inference provider built on custom silicon, offering exceptional speed and cost efficiency for AI applications, particularly suited for workloads where latency and throughput matter.

The bottom line

What buyers should know

Strengths

  • Custom LPU silicon built specifically for inference speed and efficiency
  • Exceptional performance with speeds up to 1,000 tokens per second
  • Competitive per-token pricing with clear, published rates
  • OpenAI-compatible API for easy integration with minimal code changes
  • Support for cutting-edge models with day-zero releases
  • Prompt caching for cost savings on repeated requests
  • Remote Model Context Protocol (MCP) integration for tool use

Watch-outs

  • Limited to Groq's selected model lineup, less flexibility than multi-model providers
  • Smaller ecosystem compared to established inference providers
  • May require optimization for non-standard workloads
  • LPU hardware availability limited to Groq's data centers

vs. alternatives

How Groq stacks up

Open full comparison →
ToolPricingBest forFree plan
GR

Groq this page

Low-latency AI inference platform for real-time language and voice applications.

$0.05 per million input tokens (Llama 3.1 8B) / $0.30 per million output tokens

Freemium

Developers building real-time AI assistantsYes
OP
OpenAI

Model provider for ChatGPT, API builders, and multimodal AI applications.

Freemium

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Teams standardizing on ChatGPT and OpenAI APIsYes
AN
Anthropic

Claude model provider for long-context reasoning, coding, and enterprise assistants.

Free

Freemium

Teams adopting Claude for knowledge work and codingYes
CU
Cursor

AI code editor for editing, explaining, and generating code inside existing projects.

Free plan available

Freemium

Developers editing real codebases with AI supportYes

Capabilities

What it does

Key features

  • LPU-based inference with custom silicon
  • Multiple model support (Llama, GPT OSS, Qwen, Moonshot, and others)
  • Token-based pay-as-you-go pricing
  • Prompt caching capabilities
  • Remote MCP server integration
  • High-throughput inference (500-1000+ TPS depending on model)
  • 128K-256K context windows on select models
  • Text-to-speech and speech-to-text models

Best for

  • Developers building real-time AI assistants
  • Teams benchmarking low-latency inference providers

Integrations

OpenAI API compatibilityRemote Model Context Protocol (MCP) servers including BrowserBase, Browser Use, Exa, Firecrawl, HuggingFace, Parallel, Stripe, and TavilyStandard Python and language-agnostic clients
Groq screenshot

Pricing

What it costs

$0.05 per million input tokens (Llama 3.1 8B) / $0.30 per million output tokens

Freemium · Free plan available

Groq operates on a usage-based pay-as-you-go model with per-token pricing varying by model. Each model has distinct input and output token costs. Free account available at console.groq.com.

Trust & security

Compliance signals

No certification badges listed; see the vendor's trust page for details.

Signals extracted from the vendor's published trust pages. Verify current certifications directly with the vendor before purchase.

Vendor trust page ↗

Community signals

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What's new

Latest from Groq

Sep 2025

Remote Model Context Protocol (MCP) server integration now available in Beta on GroqCloud, enabling connection to thousands of external tools through Anthropic's open MCP standard with zero code changes from OpenAI.

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