xAI: Grok 4.20 Multi-Agent
x-ai/grok-4.20-multi-agent
Access Grok 4.20 Multi-Agent 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-4.20-multi-agent"
}).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-4.20-multi-agent"
}).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-4.20-multi-agent",
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-4.20-multi-agent",
"messages": [
{"role": "user", "content": "Explain quantum computing in simple terms"}
]
}'
Model Card
Grok 4.20 Multi-Agent is a variant of xAI's Grok 4.20 purpose-built for orchestrating multiple AI agents that collaborate on complex, multi-step tasks in real time.
Rather than relying on a single inference pass, it coordinates parallel agents that independently search, analyze, and cross-reference information before synthesizing a final response. At low or medium reasoning effort it runs 4 agents; at high or extra-high effort it scales to 16. It scored a 68.7 agentic index on Artificial Analysis — among the highest available.
The model shares Grok 4.20's 2M-token context window and natively supports web search, X search, and tool orchestration. It generates up to 2M output tokens per response, making it well suited for deep research workflows, multi-source analysis, and long-running agent pipelines.
Context Window 2M
tokens
Max Output 2M
tokens
Input Cost $1.25
per million tokens
Output Cost $2.5
per million tokens
Release Date Mar 31, 2026
Model Playground
Try Grok 4.20 Multi-Agent instantly in your browser.
This playground uses the Puter.js AI API — no API keys or setup required.
More AI Models From xAI
Grok 4.6
Grok 4.6 is xAI's frontier model for long-running agents and interactive, visual development work, built on the same 1.5-trillion-parameter V9 foundation as Grok 4.5 with additional supervised fine-tuning and reinforcement learning. It matches GPT-5.6 Sol on the Artificial Analysis Intelligence Index (both score 61) and leads on CursorBench v3.2 at 69.9%, with gains over Grok 4.5 across coding, research, and agentic benchmarks. xAI highlights it for vulnerability patching, engineering design work, and turning a rough product idea into a working first version, with improved self-testing on longer tasks. The model accepts text and image input with text-only output, a 500,000 token context window, and no output token limit. Reasoning effort is configurable across four levels (low, medium, high, xhigh), and it supports function calling, web search, X search, and code execution. At $2 per million input tokens and $6 per million output tokens, it costs the same as Grok 4.5.
ChatGrok 4.5
Grok 4.5 is xAI's flagship mixture-of-experts model, trained jointly with Cursor on trillions of tokens of real coding sessions alongside STEM, research, and knowledge-work data. Elon Musk described it as an Opus-class model, faster and more token-efficient at a lower cost than comparable frontier models. It is tuned for coding, including Rust and C/C++, and for multi-step agentic workflows. It also handles finance and legal work, and can build multi-sheet Excel models with live web research, design diagrams in PowerPoint, and write structured documents in Word. Reasoning effort is configurable as low, medium, or high, with high as the default. The model accepts text and image input, supports a 500,000 token context window, and includes native tool calling. At $2 per million input tokens and $6 per million output tokens, it suits developers building coding agents and knowledge-work tools who need frontier-level capability without paying Opus-class pricing.
ImageGrok Imagine Image
Grok Imagine Image is xAI's standard text-to-image generation model, built on Aurora — an autoregressive Mixture-of-Experts architecture trained on billions of text-image pairs. It accepts text prompts and optional reference images as input, producing up to 10 images per request at 1K (1024×1024) or 2K (2048×2048) resolution across 13 aspect ratios. Output formats include JPEG, PNG, and WebP. The model is noted for strong instruction following, handling style transfer, object addition or removal, and multi-reference composition through natural language alone. It generates images quickly, making it practical for high-volume pipelines. Best suited for product mockups, marketing visuals, social media graphics, and concept art prototyping where speed and prompt adherence matter. A higher-quality variant, Grok Imagine Image Pro, is available when output fidelity is the priority.
Frequently Asked Questions
You can access Grok 4.20 Multi-Agent 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.
Yes, it is free if you're using it through Puter.js. With the User-Pays Model, you can add Grok 4.20 Multi-Agent to your app at no cost — your users pay for their own AI usage directly, making it completely free for you as a developer.
| Price per 1M tokens | |
|---|---|
| Input | $1.25 |
| Output | $2.5 |
Grok 4.20 Multi-Agent was created by xAI and released on Mar 31, 2026.
Grok 4.20 Multi-Agent supports a context window of 2M tokens. For reference, that is roughly equivalent to 4,000 pages of text.
Grok 4.20 Multi-Agent can generate up to 2M tokens in a single response.
Yes — the Grok 4.20 Multi-Agent 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 4.20 Multi-Agent to your app without worrying about API keys or setup.
Read the Docs View Tutorials