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Groq API: The Fastest Free AI API in 2026 (300-800 Tokens/s)

#ai #api #opensource

What Is Groq? The World’s Fastest Free AI API

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.

Available Free Models on Groq

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

Free Tier Rate Limits

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.

How to Get Your Free Groq API Key

  1. Go to console.groq.com and sign up with your email (or GitHub/Google)
  2. Once logged in, click “API Keys” in the left sidebar
  3. Click “Create API Key”, give it a name
  4. Copy your key immediately — it’s only shown once

No credit card, no billing setup. You’re ready to make API calls.

Using the Groq API with Python

Install the Groq SDK 

pip install groq
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Basic Chat Completion 

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)
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Streaming Responses

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)
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Using the OpenAI SDK (Drop-in Replacement)

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)
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Vision: Analyze Images

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)
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JSON Mode

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"}
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Using Groq with JavaScript / Node.js 

npm install groq-sdk
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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);
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Connect Groq to OpenClaw (Free Ultra-Fast AI Agent)

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.

Quick Setup 

npm install -g openclaw@latest
openclaw onboard
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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.

Manual Configuration

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": {}
      }
    }
  }
}
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With this setup, OpenClaw becomes a free AI agent with sub-second response times — ideal for interactive coding assistants, chatbots, and automation pipelines.

Groq vs Other Free AI APIs

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

When to Use Groq

  • Real-time chat applications — Users notice the difference when responses stream in under a second
  • High-volume batch processing — 14,400 requests/day is enough for significant automation workloads
  • Voice AI pipelines — Low latency is critical when combining STT → LLM → TTS
  • Rapid prototyping — Instantly test ideas without waiting for slow completions
  • Developer tools and CLIs — AI-powered tools in the terminal where speed matters
  • Code review bots — Fast enough to integrate into CI/CD without blocking pipelines

Limitations to Know

  • Text-only (mostly): Groq excels at text. Vision support exists but is limited to specific preview models.
  • No image generation: Groq does not generate images — use Gemini or Stability AI for that.
  • Open-source models only: No GPT-4o, Claude, or Gemini — Groq only runs open-weight models.
  • Token-per-minute limits are tight: At 6,000 TPM for 70B models, long documents may hit limits quickly.
  • No fine-tuning: The free tier doesn’t support custom model training.

Related Reads

Final Thoughts

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.

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