xAI: Grok 4.20 Multi-Agent
x-ai/grok-4.20-multi-agent
Try Grok 4.20 Multi-Agent for free in your browser, and add it to your app for free with Puter.js AI API.
Try it free Add to your app// 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>
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
Try Grok 4.20 Multi-Agent for free
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
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Grok 4.7 is xAI's flagship chat model, released September 21, 2026 as the successor to Grok 4.6. It is built on a larger base model with extended reinforcement learning focused on difficult, multi-hour tasks and on stronger self-verification of its own output. On the Artificial Analysis Intelligence Index it scores 46, trailing Claude Fable 5.1 and GPT-5.6 Sol at 53 each, but it improves over Grok 4.6 on professional-work benchmarks: AA Briefcase rises from 1,546 to 1,657, the Harvey Legal Agent Benchmark from 15.8% to 19.6%, and HealthBench Professional from 48.5% to 56.7%. For coding it scores 46.3% on CursorBench 4.0, ahead of GPT-5.6 Sol Max (41.7%) but behind Claude Fable 5.1 (51.8%). With a 500K token context window, it suits coding and knowledge-work agents that want frontier price-performance rather than the top agentic score.
ChatGrok 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.
ImageGrok Imagine Image 2.0
Grok Imagine Image 2.0 is xAI's second-generation text-to-image and image-editing model, released August 7, 2026 as the Quality Mode successor to Grok Imagine Image and Grok Imagine Image (Quality). It is built to produce images usable in real work rather than drafts: it follows instructions closely, plans typography and layout, and preserves elements across generations and edits. New editing tools include a magic wand for targeted region edits, segmentation for selecting precise areas, background removal with transparency, and multi-reference editing that accepts up to five input images in one generation. Smart resize recomposes an image across nine aspect ratios automatically. xAI reports it ranks second in the world on both the Arena text-to-image and image-edit leaderboards, behind OpenAI's gpt-image-2. It ships with ready-made templates for recurring workflows such as product shots, headshots, icons, and game assets, making it suited to product photography, e-commerce content, and character or marketing design work.
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.
Grok 4.20 Multi-Agent is free to try with a Puter account. Every account includes a free AI allowance, and you can chat with it in the playground on this page. You can upgrade your account anytime for a larger allowance.
Grok 4.20 Multi-Agent is free to integrate using the Puter.js AI API. With the User-Pays Model, you can add AI to your app for $0, since users cover their own AI usage through their Puter account.
| 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.
Add Grok 4.20 Multi-Agent to your app for free
Developers can integrate Grok 4.20 Multi-Agent for free using the Puter.js AI API.
With the User-Pays Model, each user covers their own AI usage instead of the developer.