xAI: Grok Imagine Image (Quality)
x-ai/grok-imagine-image-quality
Access Grok Imagine Image (Quality) AI image generation using Puter.js API.
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Model Card
Grok Imagine Image (Quality) is xAI's high-fidelity text-to-image generation model, built on the Aurora autoregressive Mixture-of-Experts architecture rather than a diffusion backbone.
It targets applications where output quality is the priority over speed — delivering more natural lighting, richer textures, and cinematic consistency compared to standard-tier image models. Text rendering in generated images is notably legible across multiple languages, addressing a historically weak area for generative image models.
The API supports 1K and 2K resolutions, 13 aspect ratios, and JPEG, PNG, and WebP outputs. Up to four image candidates can be generated per request. At $0.05 per image, it is well suited for product visuals, marketing assets, brand imagery, and creative workflows that require production-ready quality.
Cost Per Image $0.05
per generation
Configuration N/A
resolution
Release Date Jun 26, 2026
Code Example
Use Grok Imagine Image (Quality) in 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.txt2img("A serene mountain landscape at sunset", {
model: "x-ai/grok-imagine-image-quality"
}).then(image => {
document.body.appendChild(image);
});
<html>
<body>
<script src="https://js.puter.com/v2/"></script>
<script>
puter.ai.txt2img("A serene mountain landscape at sunset", {
model: "x-ai/grok-imagine-image-quality"
}).then(image => {
document.body.appendChild(image);
});
</script>
</body>
</html>
More AI Models From xAI
Grok 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.
ChatGrok Build 0.1
Grok Build 0.1 is xAI's fast coding model trained specifically for agentic software engineering workflows. Released in May 2026 and currently in early access, it is purpose-built for interactive coding agents, tool use, and multi-step development tasks rather than general-purpose conversation. The model accepts text and image inputs and produces text output, with a 256,000-token context window. It supports function calling, structured outputs, and built-in reasoning that is always active, enabling it to think through problems before responding. Developers building AI coding agents, automated code review pipelines, or multi-step development tools will find it a strong fit. At $1/M input and $2/M output tokens, it offers an accessible price point for agentic, high-throughput use cases.
ChatGrok 4.3
Grok 4.3 is xAI's latest flagship reasoning model, designed for agentic workflows, instruction following, and tasks demanding high factual accuracy. It accepts text and image inputs with always-on reasoning that cannot be disabled. The model supports a 1 million token context window with no output token limit, making it well suited for long-document analysis and multi-step agent tasks. Priced at $1.25 per million input tokens and $2.50 per million output tokens, it delivers improved cost-efficiency over its predecessor Grok 4.20 — scoring higher on the Artificial Analysis Intelligence Index while costing roughly 20% less to run. Grok 4.3 showed a major jump in real-world agentic task performance, gaining over 300 Elo points on GDPval-AA versus Grok 4.20. It also scores 98% on τ²-Bench Telecom and 81% on IFBench. A strong pick for developers building cost-sensitive agent systems that need reliable tool use and instruction adherence.
Frequently Asked Questions
You can access Grok Imagine Image (Quality) 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.
Yes, it is free if you're using it through Puter.js. With the User-Pays Model, you can add Grok Imagine Image (Quality) 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 image | $0.05 |
Grok Imagine Image (Quality) was created by xAI and released on Jun 26, 2026.
Yes — the Grok Imagine Image (Quality) 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 Imagine Image (Quality) image generation to your app without worrying about API keys or setup.
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