Groq Free Tier - LPU-Powered Inference

AI API Free Tiers | Amount: Rate-limited free usage (varies by model; ~30 RPM, ~6K-12K TPM, ~100K-500K TPD) | AI-generated | 1/5 InstantSignup and get credits instantly — no credit card, no approval active
2026-02-05
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Source: https://console.groq.com/

Description

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+ 1 Groq offers a permanent free tier for its LPU (Language Processing Unit) powered inference API. Sign up at console.groq.com, get an API key instantly, and start calling models with no credit card required. The free tier gives you access to all supported models — including Llama 3.1/3.3, Llama 4 Scout/Maverick, GPT-OSS, Qwen3, Kimi K2, Whisper, and Groq's agentic Compound system — subject to rate limits (~30 RPM, ~6K TPM for smaller models). The API is OpenAI-compatible, so most libraries and tools that work with OpenAI also work with Groq by changing the base URL. Groq's main selling point is speed: inference runs on custom LPU hardware at 200-1,000+ tokens/second depending on the model.

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+ 2  

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+ 3

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+ 4  

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+ 5 Registration (Step-by-Step)

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+ 6  

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+ 7 1. Go to console.groq.com

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+ 8 2. Click "Sign Up" (or use the direct link: console.groq.com/authenticate/signup)

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+ 9 3. Sign up with your email address or GitHub account — accept the Services Agreement and Privacy Policy

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+ 10 4. Verify your email if prompted

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+ 11 5. You are now on the Free tier — no credit card needed, no trial period

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+ 12 6. Go to the API Keys page and click "Create API Key"

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+ 13 7. Give your key a descriptive name and copy it immediately — it will not be shown again

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+ 14 8. Set it as an environment variable: export GROQ_API_KEY=your-key-here

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+ 15 9. Make your first request to https://api.groq.com/openai/v1/chat/completions

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+ 16  

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+ 17 Important:

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+ 18 • One free account per person — no special verification required

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+ 19 • The free tier has no expiration date — it is ongoing, not a trial

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+ 20 • You will never be charged unless you explicitly add payment info and upgrade to the Developer tier

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+ 21 • Over 2M+ developers are already building on GroqCloud

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+ 22  

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+ 23

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+ 24  

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+ 25 Available Models

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+ 26  

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+ 27 Production Models

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+ 28  

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+ 29 ModelSpeedContext WindowPricing (paid tier)

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+ 30 Llama 3.1 8B Instant~840 t/s131,072$0.05/$0.08 per 1M tokens

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+ 31 Llama 3.3 70B Versatile~394 t/s131,072$0.59/$0.79 per 1M tokens

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+ 32 GPT-OSS 120B~500 t/s131,072$0.15/$0.60 per 1M tokens

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+ 33 GPT-OSS 20B~1,000 t/s131,072$0.075/$0.30 per 1M tokens

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+ 34 Llama Guard 4 12B~1,200 t/s131,072Content moderation model

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+ 35 Whisper Large V3217x realtime$0.111/hour transcribed

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+ 36 Whisper Large V3 Turbo228x realtime$0.04/hour transcribed

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+ 37  

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+ 38 Preview Models (may be discontinued)

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+ 39  

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+ 40 ModelNotes

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+ 41 Llama 4 Maverick 17Bx128E~562 t/s, 128K context

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+ 42 Llama 4 Scout 17Bx16E~594 t/s, 128K context

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+ 43 Qwen3 32B~662 t/s, 131K context

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+ 44 Kimi K2 (1T params)~200 t/s, 256K context

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+ 45 Llama Prompt Guard 222M and 86M variants

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+ 46 PlayAI TTSText-to-speech (English + Arabic)

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+ 47  

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+ 48 Compound Systems (Agentic AI)

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+ 49  

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+ 50 SystemDescription

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+ 51 groq/compoundAgentic system with built-in web search + code execution; multiple tool calls per request

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+ 52 groq/compound-miniLighter version; single tool call per request, ~3x lower latency

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+ 53  

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+ 54 Compound systems can autonomously search the web and execute Python code server-side — no client-side orchestration needed. Set model to groq/compound in your API call and the system handles the rest.

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+ 55  

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+ 56 Note: The model lineup changes frequently. Check the official models page for the current list.

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+ 57  

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+ 58

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+ 59  

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+ 60 Free Tier Rate Limits

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+ 61  

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+ 62 Rate limits apply at the organization level (not per user) and vary by model. Smaller models get higher limits. Here are representative free tier limits:

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+ 63  

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+ 64 ModelRPMRPDTPMTPD

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+ 65 Llama 3.1 8B Instant3014,4006,000500,000

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+ 66 Llama 3.3 70B Versatile301,00012,000100,000

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+ 67 Allam 2 7B307,0006,000500,000

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+ 68 Whisper Large V3202,000

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+ 69 Whisper Large V3 Turbo202,000

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+ 70  

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+ 71 RPM = Requests/Minute, RPD = Requests/Day, TPM = Tokens/Minute, TPD = Tokens/Day

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+ 72  

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+ 73 Key details:

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+ 74 • Limits reset daily at UTC 00:00

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+ 75 Cached tokens do not count toward rate limits (prompt caching gives 50% discount on paid tier)

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+ 76 • Exceeding limits returns a 429 Too Many Requests error — you are never charged, just throttled

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+ 77 • Max output per request: 8,192 tokens

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+ 78 • The Developer tier offers roughly 10x higher limits across all models

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+ 79 • Exact limits change frequently — check your account limits for current numbers

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+ 80  

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+ 81

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+ 82  

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+ 83 OpenAI-Compatible API

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+ 84  

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+ 85 Groq's API is drop-in compatible with the OpenAI API format. This means:

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+ 86  

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+ 87 Endpoint: https://api.groq.com/openai/v1/chat/completions

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+ 88 • Works with the official OpenAI Python/Node SDKs — just change the base_url and API key

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+ 89 • Works with LangChain, LiteLLM, AI SDK, and most OpenAI-compatible tools

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+ 90 • Groq also provides its own Python SDK: pip install groq

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+ 91  

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+ 92

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+ 93 from groq import Groq

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+ 94 import os

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+ 95  

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+ 96 client = Groq(api_key=os.environ.get("GROQ_API_KEY"))

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+ 97 chat = client.chat.completions.create(

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+ 98
messages=[{"role": "user", "content": "Hello!"}], 

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+ 99
model="llama-3.3-70b-versatile", 

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+ 100 )

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+ 101 print(chat.choices[0].message.content)

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+ 102

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+ 103  

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+ 104

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+ 105  

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+ 106 Upgrading to Developer Tier

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+ 107  

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+ 108 If the free tier limits are too restrictive, the Developer tier offers:

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+ 109  

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+ 110 • Up to 10x higher rate limits across all models

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+ 111 • Access to the Batch API for high-volume workloads (25% cost discount)

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+ 112 • Pay-as-you-go pricing — you only pay for tokens consumed

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+ 113 • Self-serve upgrade from the GroqCloud console

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+ 114  

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+ 115 Pricing is very competitive: Llama 3.1 8B starts at $0.05 per million input tokens, and even the largest models (Kimi K2 at 1T params) cost only $1.00 per million input tokens.

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+ 116  

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+ 117

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+ 118  

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+ 119 Additional Tips

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+ 120  

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+ 121 Best for prototyping and experimentation — the free tier is generous enough for hobby projects, hackathons, and testing, but not for production workloads

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+ 122 Speed is the main differentiator — Groq's LPU hardware delivers inference speeds 5-10x faster than GPU-based providers. If latency matters, Groq is hard to beat

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+ 123 Implement retry logic — on the free tier, you will hit rate limits. Use exponential backoff on 429 errors

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+ 124 Token counting — both input and output tokens count toward TPM/TPD limits

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+ 125 No SLA on free tier — models in Preview status may be removed without notice

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+ 126 Compound systems are billed per-tool-use on paid tier — web search costs $5-8 per 1,000 requests, code execution $0.18/hour. On free tier, these are available within your rate limits

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+ 127 Prompt caching — on the paid tier, cached tokens get a 50% discount. On free tier, cached tokens simply don't count toward your rate limits

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+ 128 Groq vs. GraphQL (GROQ) — Groq (the AI inference company) is unrelated to GROQ (Sanity's query language). Don't confuse them

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+ 129  

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+ 130

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+ 131  

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+ 132 Sources:

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+ 133 GroqCloud Console

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+ 134 Groq Supported Models

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+ 136 Groq Pricing

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+ 137 Groq Quickstart Guide

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+ 140 Groq Compound Systems

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