Models
xAI
Grok Imagine Image Pro

xAI

Grok Imagine Image Pro

AI Image Editing Model

Mode:

xAI's premium image generation model offering higher fidelity output and stronger performance on single-image editing benchmarks compared to the standard Grok Imagine model

Grok Imagine Image Pro generated image of A hyper-realistic cinematic close-up of a weathered vintage compass resting o...

Grok Imagine Image Pro generated image of A hyper-realistic close-up of a weathered leather craftsman's workbench, feat...

Try Model Benchmark examples

Max Images per Request

Supported Modes

Text to Image Image Edit

Active

Details

Model ID

grok-imagine-image-pro

Creator

xAI

Family

grok-imagine

Released

January 2026

Ready to integrate?

Access grok-imagine-image-pro via our unified API.

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Available at 1 provider

Starting from

$0.070 /image via xAI

Prices shown are in USD

Full pricing details

Provider Performance

Fastest generation through xai at 4,949ms median latency with 75.4% success rate.

Aggregated from real API requests over the last 30 days.

Generation Time

xai

p95: 9,281ms

Success Rate

xai

75.4%

43 / 57 requests

Time to First Byte

xai

4,753ms

p95: 9,026ms

Provider Rankings

#	Provider	p50 Gen Time	p95 Gen Time	Success Rate	TTFB (p50)
1	xai	4,949ms	9,281ms	75.4%	4,753ms

Data updated every 15 minutes. Based on all API requests through Lumenfall over the last 30 days.

Providers & Pricing (1)

Grok Imagine Image Pro is available exclusively through xAI, starting at $0.07/image.

xAI

Text to Image Image Edit

xai/grok-imagine-image-pro

Provider Model ID: grok-imagine-image-pro

$0.0020 /input image

View pricing details

Grok Imagine Image Pro API OpenAI-compatible

Integrate Grok Imagine Image Pro into your applications via the Lumenfall OpenAI-compatible API to generate high-resolution images and perform complex single-image edits.

Base URL

https://api.lumenfall.ai/openai/v1

Model

grok-imagine-image-pro

Code Examples

Image Edit

/v1/images/edits

curl -X POST \

  https://api.lumenfall.ai/openai/v1/images/edits \

  -H "Authorization: Bearer $LUMENFALL_API_KEY" \

  -F "model=grok-imagine-image-pro" \

  -F "[email protected]" \

  -F "prompt=Add a starry night sky to this image" \

  -F "size=1024x1024"

# Response:

# { "created": 1234567890, "data": [{ "url": "https://...", "revised_prompt": "..." }] }

import OpenAI from 'openai';

import fs from 'fs';

const client = new OpenAI({

  apiKey: 'YOUR_API_KEY',

  baseURL: 'https://api.lumenfall.ai/openai/v1'

});

const response = await client.images.edit({

  model: 'grok-imagine-image-pro',

  image: fs.createReadStream('source.png'),

  prompt: 'Add a starry night sky to this image',

  size: '1024x1024'

});

// { created: 1234567890, data: [{ url: "https://...", revised_prompt: "..." }] }

console.log(response.data[0].url);

from openai import OpenAI

client = OpenAI(

    api_key="YOUR_API_KEY",

    base_url="https://api.lumenfall.ai/openai/v1"

response = client.images.edit(

    model="grok-imagine-image-pro",

    image=open("source.png", "rb"),

    prompt="Add a starry night sky to this image",

    size="1024x1024"

# { created: 1234567890, data: [{ url: "https://...", revised_prompt: "..." }] }

print(response.data[0].url)

Parameter Reference

Required Supported Not available

Core Parameters

Parameter	Type	Description	Modes
`prompt`	string	Required. Text prompt for image generation	T2I Edit

Size & Layout

Parameter	Type	Description	Modes
`size`	string	Image dimensions as WxH pixels (e.g. "1024x1024") or aspect ratio (e.g. "16:9") WxH determines both shape and scale (aspect_ratio and resolution are ignored when size is provided). W:H format is equivalent to aspect_ratio.	T2I Edit
`aspect_ratio`	string	Aspect ratio of the output image (e.g. "16:9", "1:1") Controls shape independently of scale. Use with resolution to control both. If size is also provided, size takes precedence. Any ratio is accepted and mapped to the nearest supported value.	T2I Edit
`resolution`	string	Output resolution tier (e.g. "1K", "4K") `auto` `1k` `1K` `2k` `2K` Controls scale independently of shape. Higher tiers produce larger images and cost more. If size is also provided, size takes precedence for scale. Any tier is accepted and mapped to the nearest supported value.	T2I Edit

Output	`size`		`aspect_ratio` + `resolution`
Flexible
Auto	`"auto"`	—	Model chooses optimal dimensions

1K 13 sizes

Output	`size`		`aspect_ratio` + `resolution`
1508 × 696	`"1508x696"`	or	`"19.5:9"` + `"1K"`
1183 × 887	`"1183x887"`	or	`"4:3"` + `"1K"`
1527 × 687	`"1527x687"`	or	`"20:9"` + `"1K"`
696 × 1507	`"696x1507"`	or	`"9:19.5"` + `"1K"`
1024 × 1024	`"1024x1024"`	or	`"1:1"` + `"1K"`
887 × 1182	`"887x1182"`	or	`"3:4"` + `"1K"`
687 × 1526	`"687x1526"`	or	`"9:20"` + `"1K"`
724 × 1448	`"724x1448"`	or	`"1:2"` + `"1K"`
1448 × 724	`"1448x724"`	or	`"2:1"` + `"1K"`
836 × 1254	`"836x1254"`	or	`"2:3"` + `"1K"`
1254 × 836	`"1254x836"`	or	`"3:2"` + `"1K"`
768 × 1365	`"768x1365"`	or	`"9:16"` + `"1K"`
1365 × 768	`"1365x768"`	or	`"16:9"` + `"1K"`

2K 13 sizes

Output	`size`		`aspect_ratio` + `resolution`
1392 × 3015	`"1392x3015"`	or	`"9:19.5"` + `"2K"`
1774 × 2365	`"1774x2365"`	or	`"3:4"` + `"2K"`
2365 × 1774	`"2365x1774"`	or	`"4:3"` + `"2K"`
1374 × 3053	`"1374x3053"`	or	`"9:20"` + `"2K"`
3053 × 1374	`"3053x1374"`	or	`"20:9"` + `"2K"`
1536 × 2731	`"1536x2731"`	or	`"9:16"` + `"2K"`
2731 × 1536	`"2731x1536"`	or	`"16:9"` + `"2K"`
2048 × 2048	`"2048x2048"`	or	`"1:1"` + `"2K"`
1448 × 2896	`"1448x2896"`	or	`"1:2"` + `"2K"`
2896 × 1448	`"2896x1448"`	or	`"2:1"` + `"2K"`
1672 × 2508	`"1672x2508"`	or	`"2:3"` + `"2K"`
2508 × 1672	`"2508x1672"`	or	`"3:2"` + `"2K"`
3014 × 1391	`"3014x1391"`	or	`"19.5:9"` + `"2K"`

How these parameters work

size

Exact pixel dimensions

"1920x1080"

aspect_ratio

Shape only, default scale

"16:9"

resolution

Scale tier, preserves shape

"1K"

Priority when combined

size › aspect_ratio + resolution › aspect_ratio › resolution

size is most specific and always wins. aspect_ratio and resolution control shape and scale independently.

How matching works

Shape matching – we pick the closest supported ratio. Ask for 7:1 on a model with 4:1 and 8:1, you get 8:1.

Scale matching – providers use different tier formats: K tiers (0.5K 1K 2K 4K) or megapixel tiers (0.25 1). If the exact tier isn't available, you get the nearest one.

Dimension clamping – if a model has pixel limits, we clamp dimensions to fit and keep the aspect ratio intact.

Media Inputs

Parameter	Type	Description	Modes
`image`	file	Required. Input image(s) to edit Supports PNG, JPEG, WebP.	T2I Edit

Output & Format

Parameter	Type	Description	Modes
`response_format` xai	string	Response format for generated images. If omitted, xAI returns URLs. `b64_json` `url` Default: `"url"`	T2I Edit
`output_format`	string	Output image format `png` `jpeg` `gif` `webp` `avif` Gateway converts to requested format if provider doesn't support it natively.	T2I Edit
`output_compression`	integer	Compression level for lossy formats (JPEG, WebP, AVIF)	T2I Edit
`n`	integer	Number of images to generate Default: `1` Gateway generates multiple images in parallel even if provider only supports 1.	T2I Edit

Additional Parameters

Provider-specific passthrough fields, available only when the request is routed to the listed provider.

Parameter	Type	Description	Modes
xai
`images`	array	Optional list of input images for multi-reference image editing. This field cannot be set together with `image`.	T2I Edit
`storage_options`	object	Options for storing generated output in the xAI Files API.	T2I Edit
`user`	["string", "null"]	Unique end-user identifier that can help xAI monitor and detect abuse.	T2I Edit

Parameter Normalization

How we handle parameters across different providers

Not every provider speaks the same language. When you send a parameter, we handle it in one of four ways depending on what the model supports:

Behavior	What happens	Example
`passthrough`	Sent as-is to the provider	style, quality
`renamed`	Same value, mapped to the field name the provider expects	prompt
`converted`	Transformed to the provider's native format	size
`emulated`	Works even if the provider has no concept of it	n, response_format

Parameters we don't recognize pass straight through to the upstream API, so provider-specific options still work.

Full API Reference Authentication, endpoints, and more

Grok Imagine Image Pro Benchmarks

Grok Imagine Image Pro maintains an Elo of 1241 for text-to-image generation and an Elo of 1188 for image editing, ranking #13 globally in both categories. These benchmarks highlight its improved fidelity and competitive performance among top-tier generative vision models.

Lumenfall Arena

#13

Text-to-Image

1252 Elo

Lumenfall Arena

#10

Image Editing

1207 Elo

Image Editing Landscape

Elo vs Cost

1 model without pricing omitted

Elo vs Speed

6 models waiting for enough speed data

Competition Results

Image Editing

Photorealism

View leaderboard

Grok Imagine Image Pro edited result for Bald man challenge

Original image before Grok Imagine Image Pro editing

Before After

Bald man challenge

15 models

Image Editing

Edit instruction

“Give the person a full, thick head of natural hair with realistic texture, density, and a natural hairline. Preserve facial features and lighting.”

Grok Imagine Image Pro edited result for Golden Hour Stroll

Before After

Golden Hour Stroll

13 models

Image Editing

Edit instruction

“Add dynamic motion to this photo: make hair blow in the wind, add leaves flying, energetic and lively feel.”

Grok Imagine Image Pro edited result for Neutral Expression to Genuine Smile

Before After

Neutral Expression to Genuine Smile

14 models

Image Editing

Edit instruction

{
  "action": "image_edit",
  "reference": "uploaded neutral portrait",
  "change": "Warm genuine Duchenne smile: lips curved up, slight natural teeth, soft eye crinkles, subtle cheek raise",
  "details": "Realistic smiling skin (dimples if present, soft cheek shadows), slightly brighter eyes; keep exact eye shape/color/iris",
  "preserve_exact": "Face identity/structure, eyes/nose/lips/eyebrows, hair, skin texture/pores/freckles, makeup, clothing, head pose, background, lighting, shadows, framing",
  "no_changes": "No face shape change, no new features, no gaze shift, no hair/clothing/lighting/background edits",
  "style": "Ultra-photorealistic 8K portrait, sharp face focus, natural soft lighting, realistic skin glow"
}

3 attempts – showing best result

Grok Imagine Image Pro edited result for Night Sky Transformation

Before After

Night Sky Transformation

16 models

Image Editing

Edit instruction

“Change the scene to night: a deep, dark sky with subtle, glistening stars visible behind the mountain.”

3 attempts – showing best result

Image Editing

Anime

View leaderboard

Studio Ghibli Anime Style

14 models

Image Editing

Source

Edit instruction

“Transform this photo into a Studio Ghibli–inspired illustration. Use soft pastel colors, hand-painted textures, gentle lighting, dreamy backgrounds, and a warm, nostalgic mood”

Image Editing

Portrait

View leaderboard

Before After

Bald man challenge

15 models

Image Editing

Edit instruction

“Give the person a full, thick head of natural hair with realistic texture, density, and a natural hairline. Preserve facial features and lighting.”

Before After

Neutral Expression to Genuine Smile

14 models

Image Editing

Edit instruction

{
  "action": "image_edit",
  "reference": "uploaded neutral portrait",
  "change": "Warm genuine Duchenne smile: lips curved up, slight natural teeth, soft eye crinkles, subtle cheek raise",
  "details": "Realistic smiling skin (dimples if present, soft cheek shadows), slightly brighter eyes; keep exact eye shape/color/iris",
  "preserve_exact": "Face identity/structure, eyes/nose/lips/eyebrows, hair, skin texture/pores/freckles, makeup, clothing, head pose, background, lighting, shadows, framing",
  "no_changes": "No face shape change, no new features, no gaze shift, no hair/clothing/lighting/background edits",
  "style": "Ultra-photorealistic 8K portrait, sharp face focus, natural soft lighting, realistic skin glow"
}

3 attempts – showing best result

Uncategorized

Over-the-top cartoon caricature

13 models

Image Editing

Source

Edit instruction

“Create a caricature of me and my job. Make it exaggerated and humorous, incorporating my profession as a tv show anchor and my love for dogs and hockey.”

Top Matchups

See how Grok Imagine Image Pro performs head-to-head against other AI models, ranked by community votes in blind comparisons.

vs Nano Banana

Challenge: Bald man challenge

33% W · 67% L

vs Recraft V4 Pro

Challenge: Adorable Baby Animals in Sunny Meadow

0% W · 100% L

vs Seedream 4.5

Challenge: Isometric Miniature Diorama Scenes

100% W · 0% L

vs FLUX.2 [max]

Challenge: Studio Ghibli Anime Style

100% W · 0% L

vs Nano Banana 2

Challenge: Fantasy Warrior

100% W · 0% L

Grok Imagine Image Pro is best for

See all Use Cases

The model demonstrates high performance in stylistic categories, achieving a 60% win rate in Anime and a 52% win rate in Portraits. While it excels in photorealistic rendering with a 57.1% win rate, it shows relative weakness in specialized text rendering and commercial branding tasks.

#2 of 14

Anime

Edit · 64.0% win rate

Gallery

View all 6 images

Grok Imagine Image Pro FAQ

How much does Grok Imagine Image Pro cost?

Grok Imagine Image Pro starts at $0.07 per image through Lumenfall. Pricing varies by provider. Lumenfall does not add any markup to provider pricing.

How do I use Grok Imagine Image Pro via API?

You can use Grok Imagine Image Pro through Lumenfall's OpenAI-compatible API. Send requests to the unified endpoint with model ID "grok-imagine-image-pro". Code examples are available in Python, JavaScript, and cURL.

Which providers offer Grok Imagine Image Pro?

Grok Imagine Image Pro is available through xAI on Lumenfall. Lumenfall automatically routes requests to the best available provider.

Overview

Grok Imagine Image Pro is xAI’s high-fidelity image generation model, designed to offer superior visual quality and more precise control over image synthesis than the standard Grok Imagine version. It processes both text and image inputs to generate high-resolution visual outputs with a focus on realism and adherence to complex instructions. The model is distinguished by its performance in the “Pro” tier, specifically optimized for professional-grade detail and iterative editing workflows.

Strengths

High-Resolution Fidelity: Produces images with high pixel density, sharp textures, and realistic lighting, making it suitable for high-quality digital assets.
Image-to-Image Editing: Excels at single-image editing benchmarks, demonstrating a strong ability to modify existing images while maintaining structural consistency.
Complex Prompt Adherence: Displays a nuanced understanding of long-form, descriptive prompts, accurately placing objects and handling spatial relationships better than the base model.
Text Rendering Accuracy: Shows improved performance in rendering legible text and character symbols within generated scenes compared to earlier iterations.

Limitations

Inference Latency: Due to the complexity and fidelity of the output, generation times may be longer than those of more lightweight or “turbo” style models.
Stylistic Bias: While highly capable in realism, the model may default to a specific “digital” aesthetic unless explicitly directed otherwise through detailed stylistic prompting.
Hardware Demand: The premium nature of the model results in higher per-image costs ($0.07 starting price) compared to standard or open-source alternatives.

Technical Background

Grok Imagine Image Pro is part of the Grok family of models developed by xAI. It utilizes a latent diffusion architecture tailored for high-dimensional image synthesis and is trained on high-quality datasets curated for visual clarity and prompt relevance. A key technical focus for this “Pro” version is its optimization for editing tasks, likely achieved through fine-tuning on paired image-manipulation data to improve consistency between input and output states.

Best For

Professional Content Creation: Ideal for generating marketing assets, high-fidelity concept art, and detailed illustrations where quality is prioritized over speed.
Iterative Design Workflows: Well-suited for users who need to upload an initial image and perform precise modifications through text instructions.
Detailed Scene Synthesis: Recommended for projects requiring complex arrangements of multiple objects or specific lighting conditions.

Grok Imagine Image Pro is available through Lumenfall’s unified API and playground, allowing developers to integrate high-end image generation into their applications with minimal setup.

Try Grok Imagine Image Pro in Playground

Generate images with custom prompts — no API key needed.

Open Playground