When latency is the product

Groq runs open-weight models (Llama, Qwen, Whisper) on custom LPU hardware at thousands of tokens per second. It is the fastest way to call an LLM, and the free tier is genuinely usable.

Who it's for: Builders shipping latency-sensitive AI: voice agents, chat UX, and live assistants.

Key features

LPU Custom inference

Language Processing Units deliver 500+ tok/s. Responses feel instant.

Open models No lock-in

Llama, Qwen, Gemma, Whisper — all open-weight, no vendor model trap.

GroqCloud Drop-in API

OpenAI-compatible API. Swap your endpoint, keep your code.

The honest take

✓ What works

Fastest inference available, period
Generous free tier
OpenAI-compatible API (easy migration)
Great for real-time voice and chat
No cold starts

✗ What doesn't

Limited context versus GPT or Claude
Hardware is proprietary (lock-in risk)
Rate limits on free tier
Not for long-form heavy reasoning

Verdict

When latency is the product — voice agents, live chat, real-time copilots — Groq wins. Pair it with a reasoning model for the hard stuff. The free tier covers most prototypes.

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