Groq: Fast, Low-Cost AI Inference with LPU Technology
Groq delivers ultra-fast, affordable AI inference via Language Processing Units. Free tier, OpenAI compatible, 275+ tokens/sec on Llama 3.3 70B. Start for free.
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About Groq
Groq is an AI inference platform delivering ultra-fast, cost-effective language model inference through its proprietary Language Processing Unit (LPU) technology. Founded in 2016 by former Google TPU engineers, Groq offers GroqCloud, a cloud-based API providing access to leading open-source models including Llama, Qwen, Mixtral, and OpenAI's GPT-OSS series. The LPU architecture is purpose-built for inference, achieving record-breaking throughput (1,000+ tokens/second on certain models) and minimal latency (sub-300ms first-token response times) compared to GPU-based competitors. Groq serves over 2 million developers globally and enterprise clients including McLaren F1 Team, enabling real-time AI applications with deterministic, predictable performance. The platform supports full OpenAI API compatibility, making integration seamless for existing projects.
Pricing
Free tier with daily request limits (14,400 req/day on Llama 3.1 8B, 6,000 on Llama 3.3 70B). Pay-as-you-go pricing: Llama 3.1 8B at $0.05 input/$0.08 output per 1M tokens; Llama 3.3 70B at $0.59 input/$0.79 output; GPT-OSS 120B premium tier available. Batch API offers 50% discount for non-urgent workloads. Enterprise custom pricing available.
Key Features
- Language Processing Unit (LPU) Hardware: Custom-built inference chips with SRAM-centric design and deterministic architecture, delivering 10x faster inference than traditional GPUs without memory bandwidth bottlenecks
- OpenAI Compatible API: Drop-in replacement for OpenAI API - integrate with just two lines of code by changing base_url and API key
- Multi-Model Ecosystem: Access to 30+ open-source models including Llama 3.3/3.1 (8B/70B), GPT-OSS 120B, Qwen3, Kimi K2, Mistral, and specialized models for vision, code, and reasoning
- Sub-Second Latency with Tokens/Second Throughput: Llama 3.3 70B achieves 275+ tokens/second with consistent performance across input lengths; free tier provides 14,400 requests/day on smaller models
- Built-In Tools & Compound AI: Native web search, code execution, browser automation, and MCP integrations for intelligent agent-based applications
- Enterprise-Grade Compliance: SOC 2, GDPR, HIPAA compliant; global data center deployment with regional availability for minimal latency and on-premises GroqRack deployment option
Pros
- Unmatched inference speed: 1000+ tokens/second on certain models, 6-20x faster than competitors
- Transparent pay-as-you-go pricing starting at $0.05/1M input tokens for Llama 3.1 8B
- Free tier with generous daily limits and no credit card required for experimentation
- Seamless OpenAI API compatibility enables quick migration with minimal code changes
- Deterministic performance with low variance - critical for production applications
Cons
- Limited to open-source models; no proprietary frontier models like GPT-4 or Claude
- Context window limitations on some models (8-128K tokens) compared to long-context specialists
- Newer platform with smaller ecosystem compared to OpenAI/Anthropic established integrations
- Output token pricing higher than input ($0.59-0.99/1M for Llama 70B variants)
Frequently Asked Questions
How is Groq's LPU different from GPUs for AI inference?
Groq's Language Processing Unit (LPU) is custom silicon purpose-built for inference with SRAM-centric design, eliminating memory bandwidth bottlenecks present in GPUs. LPUs deliver deterministic performance with 10-20x faster inference and lower latency, making them ideal for real-time AI applications requiring consistent response times.
Can I use Groq with my existing OpenAI code?
Yes. Groq's API is fully OpenAI compatible. You can migrate existing code by simply changing the base_url to 'https://api.groq.com/openai/v1' and providing your Groq API key—no other code changes needed.
What models are available on GroqCloud?
GroqCloud hosts 30+ models including Meta Llama (3.1 8B, 3.3 70B), OpenAI GPT-OSS (20B, 120B), Alibaba Qwen3 (32B), Moonshot Kimi K2, Mistral variants, and vision models like Llama 4 Scout. New models are added regularly; check console.groq.com for the current catalog.
How much does Groq cost?
Groq offers a free tier with daily request limits (14,400 req/day on Llama 3.1 8B). Paid pricing is pay-as-you-go: Llama 3.1 8B costs $0.05 input/$0.08 output per 1M tokens; Llama 3.3 70B costs $0.59/$0.79. Enterprise custom pricing available upon request.
Can I use Groq for production applications?
Yes. Groq is enterprise-grade with SOC 2, GDPR, and HIPAA compliance. It offers dedicated support, auto-scaling, regional deployments for low latency, on-premises deployment via GroqRack, and deterministic performance suitable for mission-critical applications.
Does Groq support fine-tuning or custom models?
Groq primarily offers inference on open-source models. LoRA fine-tuning is available as an enterprise feature. Custom deployments and on-premise solutions are available for enterprise customers; contact sales for details.
What is the maximum context window available on Groq?
Most models support 128K token context windows (Llama 3.3 70B, Qwen3 32B). Some models like Kimi K2 0905 support up to 262K tokens. Check the model documentation for specific context window limits.