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xAI: Grok 4 0709

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Model Card

Grok 4 0709 is the July 9, 2025 snapshot of xAI's flagship reasoning model, trained with reinforcement learning to use tools like a code interpreter and web browsing. It features a 256K context window, native tool use, parallel tool calling, and support for both image and text inputs.

Context Window 256K

tokens

Max Output 256K

tokens

Input Cost $3

per million tokens

Output Cost $15

per million tokens

Input text, image

modalities

Tool Use Yes

 

Knowledge Cutoff Jul 2025

 

Release Date Jul 9, 2025

 

Code Example

Add AI to your app with the Puter.js AI API, no API keys or setup required.

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

puter.ai.chat("Explain quantum computing in simple terms").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").then(response => {
            document.body.innerHTML = response.message.content;
        });
    </script>
</body>
</html>

More AI Models From xAI

Find other xAI models →

Chat

Grok 4.7

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.

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.

Frequently Asked Questions

How do I use Grok 4 0709?

Grok 4 0709 is no longer available through Puter.js. Explore other AI models for alternatives.

What is the pricing for Grok 4 0709?
Grok 4 0709 costs $3 per 1M input tokens and $15 per 1M output tokens.
Price per 1M tokens
Input$3
Output$15
Who created Grok 4 0709?

Grok 4 0709 was created by xAI and released on Jul 9, 2025.

What is the context window of Grok 4 0709?

Grok 4 0709 supports a context window of 256K tokens. For reference, that is roughly equivalent to 512 pages of text.

What is the max output length of Grok 4 0709?

Grok 4 0709 can generate up to 256K tokens in a single response.

What is the knowledge cutoff of Grok 4 0709?

Grok 4 0709 has a knowledge cutoff date of Jul 2025. This means the model was trained on data available up to that date.

What types of input can Grok 4 0709 process?

Grok 4 0709 accepts the following input types: text, image. It produces: text.

Does Grok 4 0709 support tool use (function calling)?

Yes, Grok 4 0709 supports tool use (function calling), allowing it to interact with external tools, APIs, and data sources as part of its response flow.

How does Grok 4 0709 perform on benchmarks?

Grok 4 0709 scores 22.5 on the Artificial Analysis Intelligence Index, outperforming 73% of tracked models. On math, it scores 92.7 (outperforms 94% of models).

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

Yes — the Grok 4 0709 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.

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