
toolfreebieGroq delivers 300-800 tokens per second on open-source models like Llama 3.3 70B – completely free, no credit card required. Learn how to get your API key, make your first request, and build an ultra-fast AI agent with OpenClaw.
If you’ve ever felt frustrated waiting for an AI response, Groq is the solution. Groq’s LPU (Language Processing Unit) hardware delivers 300–800 tokens per second — up to 10x faster than traditional GPU-based providers like OpenAI or Anthropic. And the best part: Groq’s API is free to use with no credit card required.
In this guide, you’ll learn how to get your free API key, make your first request, and connect Groq to OpenClaw to build an ultra-fast free AI agent.
Groq’s free tier gives you access to over 16 open-source models, including some of the best performing ones available anywhere:
| Model | Parameters | Context Window | Best For |
|---|---|---|---|
| llama-3.3-70b-versatile | 70B | 128K tokens | General use, best quality |
| llama-3.1-8b-instant | 8B | 128K tokens | Fastest responses, high volume |
| llama3-70b-8192 | 70B | 8K tokens | Reliable, well-tested |
| mixtral-8x7b-32768 | 47B (MoE) | 32K tokens | Multilingual, reasoning |
| gemma2-9b-it | 9B | 8K tokens | Instruction following, lightweight |
| deepseek-r1-distill-llama-70b | 70B | 128K tokens | Math, complex reasoning |
| qwen-qwq-32b | 32B | 128K tokens | Deep thinking, step-by-step reasoning |
Groq’s free tier is generous for development and small production workloads:
| Model | Requests/Min | Requests/Day | Tokens/Min |
|---|---|---|---|
| llama-3.3-70b-versatile | 30 | 14,400 | 6,000 |
| llama-3.1-8b-instant | 30 | 14,400 | 20,000 |
| mixtral-8x7b-32768 | 30 | 14,400 | 5,000 |
| gemma2-9b-it | 30 | 14,400 | 15,000 |
| deepseek-r1-distill-llama-70b | 30 | 1,000 | 6,000 |
14,400 requests per day is enough for most side projects and prototypes. Limits reset every 24 hours. You can check current limits on the Groq Console.
No credit card, no billing setup. You’re ready to make API calls.
pip install groq
from groq import Groq
client = Groq(api_key="YOUR_GROQ_API_KEY")
response = client.chat.completions.create(
model="llama-3.3-70b-versatile",
messages=[
{"role": "system", "content": "You are a helpful coding assistant."},
{"role": "user", "content": "Write a Python function to check if a string is a palindrome"}
]
)
print(response.choices[0].message.content)
Groq’s speed really shines with streaming — you get tokens almost instantly:
from groq import Groq
client = Groq(api_key="YOUR_GROQ_API_KEY")
stream = client.chat.completions.create(
model="llama-3.1-8b-instant",
messages=[{"role": "user", "content": "Explain async/await in Python with examples"}],
stream=True
)
for chunk in stream:
delta = chunk.choices[0].delta.content
if delta:
print(delta, end="", flush=True)
Groq is fully OpenAI-compatible. If you’re already using the OpenAI SDK, just change two lines:
from openai import OpenAI
client = OpenAI(
api_key="YOUR_GROQ_API_KEY",
base_url="https://api.groq.com/openai/v1"
)
response = client.chat.completions.create(
model="llama-3.3-70b-versatile",
messages=[
{"role": "user", "content": "Summarize the key differences between REST and GraphQL"}
]
)
print(response.choices[0].message.content)
Some Groq models support image input:
from groq import Groq
import base64
client = Groq(api_key="YOUR_GROQ_API_KEY")
with open("screenshot.png", "rb") as f:
image_data = base64.b64encode(f.read()).decode("utf-8")
response = client.chat.completions.create(
model="llama-3.2-90b-vision-preview",
messages=[
{
"role": "user",
"content": [
{
"type": "image_url",
"image_url": {"url": f"data:image/png;base64,{image_data}"}
},
{"type": "text", "text": "What error does this screenshot show?"}
]
}
]
)
print(response.choices[0].message.content)
Force the model to return structured JSON — useful for building pipelines and parsing data:
import json
from groq import Groq
client = Groq(api_key="YOUR_GROQ_API_KEY")
response = client.chat.completions.create(
model="llama-3.3-70b-versatile",
messages=[
{
"role": "user",
"content": "Extract the name, email, and company from: 'Hi, I'm Jane Smith, jane@acme.com, working at Acme Corp'. Return as JSON."
}
],
response_format={"type": "json_object"}
)
data = json.loads(response.choices[0].message.content)
print(data)
# {"name": "Jane Smith", "email": "jane@acme.com", "company": "Acme Corp"}
npm install groq-sdk
import Groq from "groq-sdk";
const groq = new Groq({ apiKey: process.env.GROQ_API_KEY });
const response = await groq.chat.completions.create({
model: "llama-3.3-70b-versatile",
messages: [{ role: "user", content: "Write a Jest test for a login function" }]
});
console.log(response.choices[0].message.content);
Combine Groq’s blazing speed with OpenClaw to get an AI agent that responds in real time. Because Groq generates tokens 10x faster than typical providers, your agent conversations feel instant.
npm install -g openclaw@latest
openclaw onboard
When prompted, select Groq as your provider and paste your API key. Choose llama-3.3-70b-versatile for best quality or llama-3.1-8b-instant if you need maximum speed.
Edit ~/.openclaw/openclaw.json:
{
"models": {
"mode": "merge",
"providers": {
"groq": {
"baseUrl": "https://api.groq.com/openai/v1",
"apiKey": "YOUR_GROQ_API_KEY",
"api": "openai-completions",
"models": [
{
"id": "llama-3.3-70b-versatile",
"name": "Llama 3.3 70B (Groq)",
"reasoning": false,
"input": ["text"],
"contextWindow": 131072,
"maxTokens": 8192
},
{
"id": "llama-3.1-8b-instant",
"name": "Llama 3.1 8B Instant (Groq)",
"reasoning": false,
"input": ["text"],
"contextWindow": 131072,
"maxTokens": 8192
}
]
}
}
},
"agents": {
"defaults": {
"model": {
"primary": "groq/llama-3.3-70b-versatile"
},
"models": {
"groq/llama-3.3-70b-versatile": {}
}
}
}
}
With this setup, OpenClaw becomes a free AI agent with sub-second response times — ideal for interactive coding assistants, chatbots, and automation pipelines.
| Feature | Groq | Google Gemini | DeepSeek | Alibaba Bailian |
|---|---|---|---|---|
| Speed | 300–800 tokens/s | ~100 tokens/s | ~50–80 tokens/s | ~80 tokens/s |
| Best Free Model | Llama 3.3 70B | Gemini 2.5 Pro | DeepSeek V3 | Qwen 3.6-Plus |
| Context Window | 128K tokens | 1M tokens | 128K tokens | 1M tokens |
| Free RPD | 14,400 | 100–1,000 | Limited | 1M tokens/model |
| Multimodal | Vision (limited) | Text+Image+Audio+Video | Text only | Text+Image |
| OpenAI Compatible | Yes | Yes | Yes | Yes |
| Credit Card | No | No | No | No |
| Best Use Case | Real-time apps | Complex tasks | Coding, reasoning | Chinese market |
Groq is the best free AI API if speed is your top priority. At 300–800 tokens per second on a 70B model, it’s in a category of its own. The 14,400 requests per day free limit, OpenAI-compatible endpoint, and zero credit card requirement make it a go-to choice for developers building real-time applications.
If you’re building something where response speed matters — live chat, voice assistants, developer tools, or any interactive AI feature — start with Groq. Pair it with OpenClaw to get a fully functional, ultra-fast AI agent running for free in minutes.
Get your free key now: console.groq.com
Originally published at toolfreebie.com.