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What is Groq?
Groq runs open models on its own custom LPU chips rather than standard GPUs, delivering inference speeds far faster than typical cloud APIs. It's a popular choice when an application's user experience depends on near-instant model responses.
Key features
- Extremely fast token generation compared to typical GPU inference
- Hosted access to popular open models like Llama and Mixtral
- Simple, OpenAI-compatible API for easy migration
- Free tier generous enough for prototyping most applications
- Consistent low latency even under heavy concurrent load
How to get started
- Sign up at groq.com and generate a free API key
- Choose a hosted open model that fits your task
- Call the API using the OpenAI-compatible interface
- Benchmark latency against your current provider before switching
Use cases
- Real-time voice agents that need near-instant responses
- Interactive applications where latency directly affects UX
- Cost-effective hosting of open-weight models at scale
- High-throughput batch processing with tight time constraints
Groq vs. alternatives
| Tool | How it compares |
|---|---|
| Groq | Ultra-low-latency inference on custom LPU hardware. |
| Together AI | broader model selection, different hardware |
| OpenRouter | routes across many providers instead of one |
FAQ
Is Groq free to use?
Groq's plans: Free tier, usage-based API pricing. Pricing and free-tier limits change over time, so check the official site above for the latest details.
What is Groq used for?
Ultra-low-latency inference on custom LPU hardware.
Who is Groq best for?
Groq is a good fit for real-time voice agents that need near-instant responses, or interactive applications where latency directly affects UX.
What are the alternatives to Groq?
Commonly compared alternatives include Together AI and OpenRouter, see the comparison above for how they differ.
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OLast reviewed: 2026-08 · Reviewed by AIKetra editors · How we evaluate tools