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xAI

xAI: Grok 4.7

x-ai/grok-4.7

Access Grok 4.7 from xAI using the 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-4.7"
}).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-4.7"
        }).then(response => {
            document.body.innerHTML = response.message.content;
        });
    </script>
</body>
</html>

Model Card

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.

Context Window 500K

tokens

Max Output 450K

tokens

Input Cost $1.6

per million tokens

Output Cost $4.8

per million tokens

Release Date Sep 21, 2026

 

Output Speed 44

tokens / sec

Latency 0.67s

time to first token

Model Playground

Try Grok 4.7 instantly in your browser.
This playground uses the Puter.js AI API — no API keys or setup required.

Chat x-ai/grok-4.7
xAI
Chat with Grok 4.7
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Benchmarks

How Grok 4.7 performs on standard evaluations.

Artificial Analysis
Intelligence Index
46.4
Better than 97% of tracked models
BenchmarkScore
Humanity's Last Exam Cross-domain reasoning
43.1%
SciCode Scientific programming
57.4%
LCR Long-context reasoning
76.7%

Scores sourced from Artificial Analysis.

Find other xAI models

Chat

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.

Image

Grok 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.

Chat

Grok 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.

Frequently Asked Questions

How do I use Grok 4.7?

You can access Grok 4.7 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 4.7 free?

Grok 4.7 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.

What is the pricing for Grok 4.7?
Grok 4.7 costs $1.6 per 1M input tokens and $4.8 per 1M output tokens.
Price per 1M tokens
Input$1.6
Output$4.8
Who created Grok 4.7?

Grok 4.7 was created by xAI and released on Sep 21, 2026.

What is the context window of Grok 4.7?

Grok 4.7 supports a context window of 500K tokens. For reference, that is roughly equivalent to 1,000 pages of text.

What is the max output length of Grok 4.7?

Grok 4.7 can generate up to 450K tokens in a single response.

How does Grok 4.7 perform on benchmarks?

Grok 4.7 scores 46.4 on the Artificial Analysis Intelligence Index, outperforming 97% of tracked models.

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

Yes — the Grok 4.7 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 4.7 to your app for free

Developers can integrate Grok 4.7 for free using the Puter.js AI API.
With the User-Pays Model, each user covers their own AI usage instead of the developer.

Get started How pricing works