xAI

xAI: Grok 3 Mini Fast

x-ai/grok-3-mini-fast

Access Grok 3 Mini Fast from xAI using Puter.js AI API.

Get Started
// npm install @heyputer/puter.js
import { puter } from '@heyputer/puter.js';

puter.ai.chat("Explain quantum computing in simple terms", {
    model: "x-ai/grok-3-mini-fast"
}).then(response => {
    document.body.innerHTML = response.message.content;
});
<html>
<body>
    <script src="https://js.puter.com/v2/"></script>
    <script>
        puter.ai.chat("Explain quantum computing in simple terms", {
            model: "x-ai/grok-3-mini-fast"
        }).then(response => {
            document.body.innerHTML = response.message.content;
        });
    </script>
</body>
</html>
# pip install openai
from openai import OpenAI

client = OpenAI(
    base_url="https://api.puter.com/puterai/openai/v1/",
    api_key="YOUR_PUTER_AUTH_TOKEN",
)

response = client.chat.completions.create(
    model="x-ai/grok-3-mini-fast",
    messages=[
        {"role": "user", "content": "Explain quantum computing in simple terms"}
    ],
)

print(response.choices[0].message.content)
curl https://api.puter.com/puterai/openai/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_PUTER_AUTH_TOKEN" \
  -d '{
    "model": "x-ai/grok-3-mini-fast",
    "messages": [
      {"role": "user", "content": "Explain quantum computing in simple terms"}
    ]
  }'

Model Card

Grok 3 Mini Fast is the speed-optimized variant of Grok 3 Mini, running on faster infrastructure for significantly quicker response times. It provides identical reasoning quality to Grok 3 Mini but is designed for latency-sensitive applications.

Context Window 131K

tokens

Max Output 131K

tokens

Input Cost $0.6

per million tokens

Output Cost $4

per million tokens

Input text

modalities

Tool Use Yes

 

Knowledge Cutoff Nov 2024

 

Release Date Feb 17, 2025

 

Model Playground

Try Grok 3 Mini Fast instantly in your browser.
This playground uses the Puter.js AI API — no API keys or setup required.

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Frequently Asked Questions

How do I use Grok 3 Mini Fast?

You can access Grok 3 Mini Fast by xAI through Puter.js AI API. Include the library in your web app or Node.js project and start making calls with just a few lines of JavaScript — no backend and no configuration required. You can also use it with Python or cURL via Puter's OpenAI-compatible API.

Is Grok 3 Mini Fast free?

Yes, it is free if you're using it through Puter.js. With the User-Pays Model, you can add Grok 3 Mini Fast to your app at no cost — your users pay for their own AI usage directly, making it completely free for you as a developer.

What is the pricing for Grok 3 Mini Fast?
Pricing for Grok 3 Mini Fast is based on the number of input and output tokens used per request.
Price per 1M tokens
Input$0.6
Output$4
Who created Grok 3 Mini Fast?

Grok 3 Mini Fast was created by xAI and released on Feb 17, 2025.

What is the context window of Grok 3 Mini Fast?

Grok 3 Mini Fast supports a context window of 131K tokens. For reference, that is roughly equivalent to 262 pages of text.

What is the max output length of Grok 3 Mini Fast?

Grok 3 Mini Fast can generate up to 131K tokens in a single response.

What is the knowledge cutoff of Grok 3 Mini Fast?

Grok 3 Mini Fast has a knowledge cutoff date of Nov 2024. This means the model was trained on data available up to that date.

What types of input can Grok 3 Mini Fast process?

Grok 3 Mini Fast accepts the following input types: text. It produces: text.

Does Grok 3 Mini Fast support tool use (function calling)?

Yes, Grok 3 Mini Fast supports tool use (function calling), allowing it to interact with external tools, APIs, and data sources as part of its response flow.

Does it work with React / Vue / Vanilla JS / Node / etc.?

Yes — the Grok 3 Mini Fast API works with any JavaScript framework, Node.js, or plain HTML through Puter.js. Just include the library and start building. See the documentation for more details.

Get started with Puter.js

Add Grok 3 Mini Fast to your app without worrying about API keys or setup.

Read the Docs View Tutorials