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Groq / Llama 3 settings guide

Groq (fast LLM inference) · Ultra-fast · Free LLM

Chat / LLMFree tierAPI
Token burn
Low burn

Token-efficient; free tiers go a long way. Last reviewed April 2026; plans and model names change often, so check the tool's own pricing page before you buy.

1

Groq serves open models very fast on its own LPU hardware; use it when response speed matters (real-time apps, prototyping, streaming).

2

Use a large open model for harder tasks and a small one for simple, fast tasks; check the current model list and free-tier limits in the Groq console.

3

Set system_prompt in the API to match your use case — Groq doesn't have a GUI memory system, so always include context in system prompt.

4

Use Groq as a ChatGPT API replacement for many use cases — the API is compatible with OpenAI's SDK (just change base_url).

5

Handle 429 rate-limit errors and fall back to another provider; free-tier limits are real.

6

Use streaming (stream=true) for better UX — Groq's speed makes streaming text feel instant even on slow connections.

7

Combine with Perplexity's API for search — Groq handles reasoning, Perplexity handles web search.

API cost estimate

Monthly cost at list prices (September 2026), before and after a token cut you choose.

Now
$1.92
₹161
After a 25% cut
$1.44
₹121
Saved per month
$0.48
₹40

Assumes about 600 input and 200 output tokens per request (low burn). Excludes caching discounts, search or request fees and taxes. Check the vendor's pricing page before budgeting.

Reveaxa guide reference: RVX-T-groq