Is gpt-image-2 available via API?

gpt-image-2 is can be accessed by CometAPI.

What is gpt-image-2 API used for?

gpt-image-2 is OpenAI's next-generation image generation model designed for photorealistic images, advanced editing, and improved prompt accuracy compared to gpt-image-1.5.

Does gpt-image-2 support image editing?

Yes, gpt-image-2 supports multi-step editing workflows and iterative image refinement.

Is gpt-image-2 better than gpt-image-1.5?

Yes, early reports indicate gpt-image-2 improves photorealism, text rendering, and instruction adherence over gpt-image-1.5.

Can gpt-image-2 generate photorealistic images?

Yes, gpt-image-2 focuses on higher realism, improved lighting, and more accurate human anatomy in generated images.

When should I use gpt-image-2 instead of DALL-E 3?

Use gpt-image-2 when you need better realism, improved text rendering, and more consistent outputs than DALL-E 3.

OpenAI

Live API Popular

gpt-image-2

GPT Image 2 API

GPT Image 2 is openai state-of-the-art image generation model for fast, high-quality image generation and editing. It supports flexible image sizes and high-fidelity image inputs.

Starting price

$4.00 / 1M input tokens

Usage-based billing

API health

Operational

100.0% uptime / 24h

Response

35209 ms

Observed API response

Released

Apr 21, 2026

OpenAI

Playground

Try GPT Image 2 with a real request, review its parameters and validate the output before integrating the API.

Pricing

Use the quick estimate above for a single run, then review the full CometAPI and official-price comparison.

First request

$0.0280

Estimated CometAPI usage cost

Ten requests

$0.2800

Estimated CometAPI usage cost

Fifteen requests

$0.4200

Estimated CometAPI usage cost

⇌

Credits conversion

1,000 credits = $1

Credits make budgets comparable across token, request and runtime billing. The USD amount remains the source of truth at checkout.

✓Current model in credits

Input

4,000

credits / 1M tokens

Output

24,000

credits / 1M tokens

Minimum charge transparency This prototype does not assume a hidden per-request minimum. If a production billing floor or minimum top-up applies, it must be displayed before purchase and included in every budget estimate.

Comet Price (USD / M Tokens)	Official Price (USD / M Tokens)	Discount
Input: $4.00/M Output: $24.00/M	Input: $5.00/M Output: $30.00/M	-20%

Model brief

A stable model identity for search and evaluation, paired with live catalog data that can change without rewriting the page's core SEO structure.

Stable identity

What is GPT Image 2?

GPT Image 2 is openai state-of-the-art image generation model for fast, high-quality image generation and editing. It supports flexible image sizes and high-fidelity image inputs.

Canonical model identity stays stable as pricing and limits change.

Live model data

Current catalog snapshot

Availability

Available

Starting price

$4.00 / 1M input tokens

Context

See capabilities

Catalog date

Apr 21, 2026

Overview

A practical overview of GPT Image 2, including important behavior and integration considerations.

Technical specifications of GPT-Image 2

Item	GPT-Image-2
Model Type	Image Generation Model
Input Types	Text, Image
Output Types	Image
Editing Support	Yes (Image editing, inpainting, image-to-image)
Max Resolution	Up to 3840px edge length
Aspect Ratio	Up to 3:1 ratio
Streaming	Not supported
Function Calling	Not supported
Fine-tuning	Not supported
Snapshot Version	gpt-image-2-2026-04-21
API Endpoints	/v1/images/generations, /v1/images/edits
Rate Limits	Tier-based (100k–8M TPM)
Modalities	Image (input/output), Text (input only)
Text Rendering Accuracy	>99% (multi-word, UI, signs, CJK/non-Latin)

The table below summarizes the key specifications based on leaked API previews and community-verified testing data (primarily from fal.ai previews and LM Arena evaluations).

Main Features

Near-Perfect Text Rendering

The most celebrated upgrade: GPT Image 2 achieves >99% accuracy for embedded text, including multi-word labels, UI buttons, signs, code snippets, comic bubbles, timestamps, and CJK characters. Text integrates naturally with perspective, lighting, and materials rather than appearing “pasted on.”

Elimination of Yellow Color Cast & Superior Color Accuracy

Previous GPT Image models exhibited a persistent warm yellow tint. GPT Image 2 delivers neutral, photorealistic color reproduction — whites are truly white, and skin tones/materials appear natural.

Advanced World Knowledge & Real-World Scene Understanding

GPT Image 2 reportedly understands, This stems from its native LLM integration.:

Diagrams (maps, anatomy, UI layouts)
Spatial relationships
Structured design elements

➡️ This is a major shift: from “art generator” → “design system assistant”

Enhanced Photorealism & Spatial Logic

Improved lighting, textures, occlusion handling, anatomy (hands/faces), and multi-object composition. Fewer artifacts overall, with stronger prompt adherence for complex scenes.

➡️ Competes directly with top-tier models (e.g., Google’s Nano Banana)

Flexible Resolution & Quality Tiers

Custom sizes up to 4K (with low-quality + upscaling recommended for cost efficiency) and quality settings (low/medium/high) give creators granular control over speed vs. fidelity.

Strong prompt controllability

Consistent style across iterations
More predictable outputs
Better adherence to instructions

Benchmark performance

There are no official benchmarks, but multiple signals:

Observed improvements

Stronger than GPT Image 1.5 in:

text rendering
layout accuracy
UI/design generation

Supporting Data (April 2026):

Text rendering: 99%+ accuracy (vs. 90–95% in 1.5).
Speed: Up to 4× faster workflows via quality tiers.
Photorealism & composition: Noticeable reduction in common failure modes (occlusion, misplacement, artifacts).

GPT Image 2 vs Flux 2 vs Midjourney(2026)

Feature	GPT Image 2 (Expected)	GPT Image 1.5	Flux 2 (Black Forest Labs)	Midjourney v7
Text Rendering	>99% (near-perfect)	90–95%	Strong (~90%)	Weak (~30–50%)
Photorealism	Excellent (neutral colors)	Very Good	Leading	Artistic focus
UI/Screenshot Quality	Best-in-class	Good	Good	Limited
Resolution Flexibility	Up to 4K, highly customizable	1536×1024 fixed presets	High	Up to 2K+
Generation Speed	<3 seconds	5–10 seconds	Very Fast	Medium
World Knowledge	Superior (native LLM)	Strong	Good	Moderate
Prompt Adherence	Excellent	Very Good	Excellent	Style-driven
Best For	Text/UI, mockups, realism	General use	Photorealism & speed	Artistic/creative styles
Pricing (Est.)	$0.15–$0.20/image (projected)	Pay-per-image	$0.02–$0.07/image	Subscription ($10–120/mo)

GPT Image 2 is positioned as the most practical production tool for text-heavy and UI-driven workflows, while Flux 2 excels in raw photorealism and Midjourney in artistic expression.

You can see top AI drawing models in CometAPI, including GPT Image 2, Flux 2, Nano Banana 2, etc., and compare them on PlayGround. CometAPI is very cost-effective for drawing APIs (usually 20% cheaper than the official ones).

Applications of the GPT Image 2

UI/UX Design & Prototyping: Generate pixel-accurate app dashboards, website mockups, and mobile interfaces in seconds.
Marketing & Advertising: Create ads, banners, and social graphics with perfect typography and branding elements.
Product Mockups & E-commerce: Realistic packaging, signage, and lifestyle shots with accurate labels.
Educational Content: Diagrams, infographics, and illustrated explanations with readable text.
Game & Entertainment Assets: Screenshots, loading screens, and stylized environments (e.g., GTA 6 or Minecraft-style).
Corporate & Professional Materials: Investor decks, documentation visuals, and internal training assets.

Early testers highlight its value for rapid iteration in design sprints and content creation pipelines.

How to Integrate the GPT-Image-2 API on CometAPI

Log in to cometapi.com. If you are not our user yet, please register first. Sign into your CometAPI console. Get the access credential API key of the interface. Click “Add Token” at the API token in the personal center, get the token key: sk-xxxxx and submit.

Step 2: Send Image Generation Requests to GPT-Image-2 API

Select the “gpt-image-2” endpoint to send the API request and set the request body the model can handle base64 responses.Replace <YOUR_API_KEY> with your actual CometAPI key from your account.

Insert your question or request into the content field—this is what the model will respond to . Set response_format: "url" if you want a small JSON response and a temporary download URL. Use one prompt and one image before you add batch generation or style tuning, Process the API response to get the generated answer.

Step 3: Retrieve and Verify Results

Process the API response to get the generated answer. After processing, the API responds with the task status and output data. For API, the response includes generation status, progress, and final image URLs once the task is complete. You can also choose to generate the image directly using prompts in PlayGround and then download the image to your local device.

Why Choose GPT Image 2 API on CometAPI

Unified & Easy-to-Use API

Use the familiar OpenAI-compatible Images API format or CometAPI’s standardized endpoints. Generate, edit, or vary images with simple prompts and reference inputs — no need to manage multiple SDKs or authentication flows.

Competitive & Transparent Pricing

Enjoy significantly lower per-image costs compared to direct OpenAI usage. CometAPI’s rates make high-volume generation (marketing assets, product visuals, design iterations) more affordable while maintaining full quality.

Fast Experimentation in Playground

Test GPT Image 2 right away in the CometAPI Playground. Upload reference images, refine prompts, adjust resolution (up to 4K where supported), and preview results instantly — perfect for iterating on text-heavy designs, photorealistic scenes, or consistent characters.

In short, if you want the cutting-edge image quality of GPT Image 2 — best-in-class text rendering, photorealism, and precise control — without the friction of direct OpenAI access, CometAPI is one of the smartest and most convenient platforms to use it.

FAQ

API

Copy a working endpoint and code example, then open the complete API reference when you need every parameter.

One API, production-ready model access

Authenticate once, call the model endpoint and keep the same billing and observability workflow across providers.

POST/v1/images/generationsPOST/v1/images/editsGET/v1/images/generations/{task_id}

Sample code and API for GPT Image 2

Access comprehensive sample code and API resources for GPT Image 2 to streamline your integration process. Our detailed documentation provides step-by-step guidance, helping you leverage the full potential of GPT Image 2 in your projects.

POST

/v1/images/generations

POST

/v1/images/edits

GET

/v1/images/generations/{task_id}

# Get your CometAPI key from https://www.cometapi.com/console/token
# Export it as: export COMETAPI_KEY="your-key-here"

mkdir -p output

response=$(curl -s https://api.cometapi.com/v1/images/generations \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $COMETAPI_KEY" \
  -d '{
    "model": "gpt-image-2",
    "prompt": "A cute baby sea otter",
    "size": "1024x1024"
  }')

if command -v jq >/dev/null 2>&1; then
  image_data=$(printf '%s' "$response" | jq -r '.data[0].b64_json')
else
  image_data=$(printf '%s' "$response" | sed -n 's/.*"b64_json":"\([^"]*\)".*/\1/p')
fi

if [ -n "$image_data" ] && [ "$image_data" != "null" ]; then
  printf '%s' "$image_data" | base64 -d > output/gpt-image-2-output.png 2>/dev/null || printf '%s' "$image_data" | base64 -D > output/gpt-image-2-output.png
  echo "Image saved to: output/gpt-image-2-output.png"
else
  echo "Error: Failed to generate image"
  echo "$response"
fi

cURL Code Example

# Get your CometAPI key from https://www.cometapi.com/console/token
# Export it as: export COMETAPI_KEY="your-key-here"

mkdir -p output

response=$(curl -s https://api.cometapi.com/v1/images/generations \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $COMETAPI_KEY" \
  -d '{
    "model": "gpt-image-2",
    "prompt": "A cute baby sea otter",
    "size": "1024x1024"
  }')

if command -v jq >/dev/null 2>&1; then
  image_data=$(printf '%s' "$response" | jq -r '.data[0].b64_json')
else
  image_data=$(printf '%s' "$response" | sed -n 's/.*"b64_json":"\([^"]*\)".*/\1/p')
fi

if [ -n "$image_data" ] && [ "$image_data" != "null" ]; then
  printf '%s' "$image_data" | base64 -d > output/gpt-image-2-output.png 2>/dev/null || printf '%s' "$image_data" | base64 -D > output/gpt-image-2-output.png
  echo "Image saved to: output/gpt-image-2-output.png"
else
  echo "Error: Failed to generate image"
  echo "$response"
fi

Python Code Example

import base64
import os
from openai import OpenAI

# Get your CometAPI key from https://www.cometapi.com/console/token, and paste it here
COMETAPI_KEY = os.environ.get("COMETAPI_KEY") or "<YOUR_COMETAPI_KEY>"
BASE_URL = "https://api.cometapi.com/v1"

client = OpenAI(base_url=BASE_URL, api_key=COMETAPI_KEY)

os.makedirs("output", exist_ok=True)

result = client.images.generate(
    model="gpt-image-2",
    prompt="A cute baby sea otter",
    size="1024x1024",
)

image_base64 = result.data[0].b64_json
image_bytes = base64.b64decode(image_base64)
output_path = "output/gpt-image-2-output.png"

with open(output_path, "wb") as file:
    file.write(image_bytes)

print(f"Image saved to: {output_path}")

JavaScript Code Example

import OpenAI from "openai";
import { mkdir, writeFile } from "fs/promises";
import path from "path";

// Get your CometAPI key from https://www.cometapi.com/console/token, and paste it here
const api_key = process.env.COMETAPI_KEY || "<YOUR_COMETAPI_KEY>";
const base_url = "https://api.cometapi.com/v1";

const client = new OpenAI({
  apiKey: api_key,
  baseURL: base_url,
});

await mkdir(path.join(process.cwd(), "output"), { recursive: true });

const result = await client.images.generate({
  model: "gpt-image-2",
  prompt: "A cute baby sea otter",
  size: "1024x1024",
});

const imageBase64 = result.data[0].b64_json;
const imageBuffer = Buffer.from(imageBase64, "base64");
const outputPath = path.join(process.cwd(), "output", "gpt-image-2-output.png");

await writeFile(outputPath, imageBuffer);

console.log(`Image saved to: ${outputPath}`);

Capabilities

Scan the model facts that matter before you choose an architecture or estimate production workload.

Supported capabilities

Features returned by the existing model API.

text-to-image

image-editing

Input and output

Inputs

text

Outputs

image

Production profile

Provider: OpenAI
Context: Model specific
Commercial use: Supported

Use cases

Use GPT Image 2 for production workflows that match its image capabilities, then compare alternatives before committing to a long-term integration.

Product visuals and campaign creative

Concept art and rapid visual exploration

Image editing, variation and asset production

Other models

Compare other models available through CometAPI for different quality, latency, capability and pricing trade-offs.

Open model comparison →

Google

Nano Banana 2.1

Gemini Nano Banana 2.1 is Google's high-efficiency image-generation and conversational-editing model. It updates Nano Banana 2 while retaining Flash-level efficiency and adds improvements in visual quality, prompt adherence, multi-turn character consistency, text rendering, and infographic layout.

View model

Flux

Flux 3 Image

FLUX 3 Image is designed for creators and developers who need more control over the structure of a generated image than a simple text prompt may provide.

View model

Aliyun

Qwen-Image-3.0

Qwen-Image-3.0 is Alibaba Qwen's third-generation image generation model, designed to make AI-generated images more useful for real-world creative and design workflows rather than focusing only on visual aesthetics.

View model

Replicate

Black Forest Labs/FLUX 2 MAX

FLUX.2 [max] is the flagship, highest-quality variant of the FLUX.2 family from Black Forest Labs (BFL). It is positioned as a professional-grade text→image generation and image-editing model that focuses on maximal fidelity, prompt adherence, and editing consistency across characters, objects, lighting and color. BFL and partner registries describe FLUX.2 [max] as the top-tier FLUX.2 variant with features for multi-reference editing, grounded generation.

View model

Replicate

Black Forest Labs/FLUX 2 DEV

FLUX 2 DEV is the development-friendly version optimized for research, experimentation, and non-commercial applications. It provides developers with powerful image generation capabilities while maintaining a balance between quality and computational efficiency. Perfect for prototyping, academic research, and personal creative projects.

View model

Replicate

Black Forest Labs/FLUX 2 FLEX

FLUX 2 FLEX is the versatile, adaptable model designed for flexible deployment across various use cases and hardware configurations. It offers scalable performance with adjustable quality settings, making it ideal for applications requiring dynamic resource allocation. This model provides the best balance between quality, speed, and resource efficiency.

View model

Uptime

Review live heartbeat data, endpoint availability and observed response times before moving into production.

Uptime

Request success rate over the last 30 days, reflecting the reliability of each model provider. CometAPI monitors all connected providers in real time, 24/7.

RespondLIVE

35209msAvg. Response

UptimeLIVE

100.0%Avg. Uptime

Updates

Follow meaningful availability, pricing and capability changes for GPT Image 2 without losing the stable model page.

Model changelog

One page that gets stronger over time.

Release notes, pricing changes, benchmark updates and migration guidance accumulate here while the canonical URL stays unchanged.

Apr 21, 2026

API availability confirmed

GPT Image 2 is available through the CometAPI model catalog and API documentation.

Current

Live data

Pricing and limits synced from the catalog

Price, context, availability and limits are treated as dynamic properties instead of being embedded in the page title or model identity.

Apr 17, 2026

Permanent model entity created

The provider and model slug form a durable canonical URL; future content and data updates remain on this page.

Keep exploring

Compare models and continue your research

OpenAI

Live API Popular

gpt-image-2

GPT Image 2 API

GPT Image 2 is openai state-of-the-art image generation model for fast, high-quality image generation and editing. It supports flexible image sizes and high-fidelity image inputs.

Starting price

$4.00 / 1M input tokens

Usage-based billing

API health

Operational

100.0% uptime / 24h

Response

35209 ms

Observed API response

Released

Apr 21, 2026

OpenAI

Playground

Try GPT Image 2 with a real request, review its parameters and validate the output before integrating the API.

Pricing

Use the quick estimate above for a single run, then review the full CometAPI and official-price comparison.

First request

$0.0280

Estimated CometAPI usage cost

Ten requests

$0.2800

Estimated CometAPI usage cost

Fifteen requests

$0.4200

Estimated CometAPI usage cost

⇌

Credits conversion

1,000 credits = $1

Credits make budgets comparable across token, request and runtime billing. The USD amount remains the source of truth at checkout.

✓Current model in credits

Input

4,000

credits / 1M tokens

Output

24,000

credits / 1M tokens

Comet Price (USD / M Tokens)	Official Price (USD / M Tokens)	Discount
Input: $4.00/M Output: $24.00/M	Input: $5.00/M Output: $30.00/M	-20%

Model brief

A stable model identity for search and evaluation, paired with live catalog data that can change without rewriting the page's core SEO structure.

Stable identity

What is GPT Image 2?

GPT Image 2 is openai state-of-the-art image generation model for fast, high-quality image generation and editing. It supports flexible image sizes and high-fidelity image inputs.

Canonical model identity stays stable as pricing and limits change.

Live model data

Current catalog snapshot

Availability

Available

Starting price

$4.00 / 1M input tokens

Context

See capabilities

Catalog date

Apr 21, 2026

Overview

A practical overview of GPT Image 2, including important behavior and integration considerations.

Technical specifications of GPT-Image 2

Item	GPT-Image-2
Model Type	Image Generation Model
Input Types	Text, Image
Output Types	Image
Editing Support	Yes (Image editing, inpainting, image-to-image)
Max Resolution	Up to 3840px edge length
Aspect Ratio	Up to 3:1 ratio
Streaming	Not supported
Function Calling	Not supported
Fine-tuning	Not supported
Snapshot Version	gpt-image-2-2026-04-21
API Endpoints	/v1/images/generations, /v1/images/edits
Rate Limits	Tier-based (100k–8M TPM)
Modalities	Image (input/output), Text (input only)
Text Rendering Accuracy	>99% (multi-word, UI, signs, CJK/non-Latin)

The table below summarizes the key specifications based on leaked API previews and community-verified testing data (primarily from fal.ai previews and LM Arena evaluations).

Main Features

Near-Perfect Text Rendering

Elimination of Yellow Color Cast & Superior Color Accuracy

Previous GPT Image models exhibited a persistent warm yellow tint. GPT Image 2 delivers neutral, photorealistic color reproduction — whites are truly white, and skin tones/materials appear natural.

Advanced World Knowledge & Real-World Scene Understanding

GPT Image 2 reportedly understands, This stems from its native LLM integration.:

Diagrams (maps, anatomy, UI layouts)
Spatial relationships
Structured design elements

➡️ This is a major shift: from “art generator” → “design system assistant”

Enhanced Photorealism & Spatial Logic

Improved lighting, textures, occlusion handling, anatomy (hands/faces), and multi-object composition. Fewer artifacts overall, with stronger prompt adherence for complex scenes.

➡️ Competes directly with top-tier models (e.g., Google’s Nano Banana)

Flexible Resolution & Quality Tiers

Custom sizes up to 4K (with low-quality + upscaling recommended for cost efficiency) and quality settings (low/medium/high) give creators granular control over speed vs. fidelity.

Strong prompt controllability

Consistent style across iterations
More predictable outputs
Better adherence to instructions

Benchmark performance

There are no official benchmarks, but multiple signals:

Observed improvements

Stronger than GPT Image 1.5 in:

text rendering
layout accuracy
UI/design generation

Supporting Data (April 2026):

Text rendering: 99%+ accuracy (vs. 90–95% in 1.5).
Speed: Up to 4× faster workflows via quality tiers.
Photorealism & composition: Noticeable reduction in common failure modes (occlusion, misplacement, artifacts).

GPT Image 2 vs Flux 2 vs Midjourney(2026)

Feature	GPT Image 2 (Expected)	GPT Image 1.5	Flux 2 (Black Forest Labs)	Midjourney v7
Text Rendering	>99% (near-perfect)	90–95%	Strong (~90%)	Weak (~30–50%)
Photorealism	Excellent (neutral colors)	Very Good	Leading	Artistic focus
UI/Screenshot Quality	Best-in-class	Good	Good	Limited
Resolution Flexibility	Up to 4K, highly customizable	1536×1024 fixed presets	High	Up to 2K+
Generation Speed	<3 seconds	5–10 seconds	Very Fast	Medium
World Knowledge	Superior (native LLM)	Strong	Good	Moderate
Prompt Adherence	Excellent	Very Good	Excellent	Style-driven
Best For	Text/UI, mockups, realism	General use	Photorealism & speed	Artistic/creative styles
Pricing (Est.)	$0.15–$0.20/image (projected)	Pay-per-image	$0.02–$0.07/image	Subscription ($10–120/mo)

GPT Image 2 is positioned as the most practical production tool for text-heavy and UI-driven workflows, while Flux 2 excels in raw photorealism and Midjourney in artistic expression.

Applications of the GPT Image 2

UI/UX Design & Prototyping: Generate pixel-accurate app dashboards, website mockups, and mobile interfaces in seconds.
Marketing & Advertising: Create ads, banners, and social graphics with perfect typography and branding elements.
Product Mockups & E-commerce: Realistic packaging, signage, and lifestyle shots with accurate labels.
Educational Content: Diagrams, infographics, and illustrated explanations with readable text.
Game & Entertainment Assets: Screenshots, loading screens, and stylized environments (e.g., GTA 6 or Minecraft-style).
Corporate & Professional Materials: Investor decks, documentation visuals, and internal training assets.

Early testers highlight its value for rapid iteration in design sprints and content creation pipelines.

How to Integrate the GPT-Image-2 API on CometAPI

Step 2: Send Image Generation Requests to GPT-Image-2 API

Step 3: Retrieve and Verify Results

Why Choose GPT Image 2 API on CometAPI

Unified & Easy-to-Use API

Competitive & Transparent Pricing

Fast Experimentation in Playground

FAQ

API

Copy a working endpoint and code example, then open the complete API reference when you need every parameter.

One API, production-ready model access

Authenticate once, call the model endpoint and keep the same billing and observability workflow across providers.

POST/v1/images/generationsPOST/v1/images/editsGET/v1/images/generations/{task_id}

Sample code and API for GPT Image 2

POST

/v1/images/generations

POST

/v1/images/edits

GET

/v1/images/generations/{task_id}

# Get your CometAPI key from https://www.cometapi.com/console/token
# Export it as: export COMETAPI_KEY="your-key-here"

mkdir -p output

response=$(curl -s https://api.cometapi.com/v1/images/generations \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $COMETAPI_KEY" \
  -d '{
    "model": "gpt-image-2",
    "prompt": "A cute baby sea otter",
    "size": "1024x1024"
  }')

if command -v jq >/dev/null 2>&1; then
  image_data=$(printf '%s' "$response" | jq -r '.data[0].b64_json')
else
  image_data=$(printf '%s' "$response" | sed -n 's/.*"b64_json":"\([^"]*\)".*/\1/p')
fi

if [ -n "$image_data" ] && [ "$image_data" != "null" ]; then
  printf '%s' "$image_data" | base64 -d > output/gpt-image-2-output.png 2>/dev/null || printf '%s' "$image_data" | base64 -D > output/gpt-image-2-output.png
  echo "Image saved to: output/gpt-image-2-output.png"
else
  echo "Error: Failed to generate image"
  echo "$response"
fi

cURL Code Example

# Get your CometAPI key from https://www.cometapi.com/console/token
# Export it as: export COMETAPI_KEY="your-key-here"

mkdir -p output

response=$(curl -s https://api.cometapi.com/v1/images/generations \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $COMETAPI_KEY" \
  -d '{
    "model": "gpt-image-2",
    "prompt": "A cute baby sea otter",
    "size": "1024x1024"
  }')

if command -v jq >/dev/null 2>&1; then
  image_data=$(printf '%s' "$response" | jq -r '.data[0].b64_json')
else
  image_data=$(printf '%s' "$response" | sed -n 's/.*"b64_json":"\([^"]*\)".*/\1/p')
fi

if [ -n "$image_data" ] && [ "$image_data" != "null" ]; then
  printf '%s' "$image_data" | base64 -d > output/gpt-image-2-output.png 2>/dev/null || printf '%s' "$image_data" | base64 -D > output/gpt-image-2-output.png
  echo "Image saved to: output/gpt-image-2-output.png"
else
  echo "Error: Failed to generate image"
  echo "$response"
fi

Python Code Example

import base64
import os
from openai import OpenAI

# Get your CometAPI key from https://www.cometapi.com/console/token, and paste it here
COMETAPI_KEY = os.environ.get("COMETAPI_KEY") or "<YOUR_COMETAPI_KEY>"
BASE_URL = "https://api.cometapi.com/v1"

client = OpenAI(base_url=BASE_URL, api_key=COMETAPI_KEY)

os.makedirs("output", exist_ok=True)

result = client.images.generate(
    model="gpt-image-2",
    prompt="A cute baby sea otter",
    size="1024x1024",
)

image_base64 = result.data[0].b64_json
image_bytes = base64.b64decode(image_base64)
output_path = "output/gpt-image-2-output.png"

with open(output_path, "wb") as file:
    file.write(image_bytes)

print(f"Image saved to: {output_path}")

JavaScript Code Example

import OpenAI from "openai";
import { mkdir, writeFile } from "fs/promises";
import path from "path";

// Get your CometAPI key from https://www.cometapi.com/console/token, and paste it here
const api_key = process.env.COMETAPI_KEY || "<YOUR_COMETAPI_KEY>";
const base_url = "https://api.cometapi.com/v1";

const client = new OpenAI({
  apiKey: api_key,
  baseURL: base_url,
});

await mkdir(path.join(process.cwd(), "output"), { recursive: true });

const result = await client.images.generate({
  model: "gpt-image-2",
  prompt: "A cute baby sea otter",
  size: "1024x1024",
});

const imageBase64 = result.data[0].b64_json;
const imageBuffer = Buffer.from(imageBase64, "base64");
const outputPath = path.join(process.cwd(), "output", "gpt-image-2-output.png");

await writeFile(outputPath, imageBuffer);

console.log(`Image saved to: ${outputPath}`);

Capabilities

Scan the model facts that matter before you choose an architecture or estimate production workload.

Supported capabilities

Features returned by the existing model API.

text-to-image

image-editing

Input and output

Inputs

text

Outputs

image

Production profile

Provider: OpenAI
Context: Model specific
Commercial use: Supported

Use cases

Use GPT Image 2 for production workflows that match its image capabilities, then compare alternatives before committing to a long-term integration.

Product visuals and campaign creative

Concept art and rapid visual exploration

Image editing, variation and asset production

Other models

Compare other models available through CometAPI for different quality, latency, capability and pricing trade-offs.

Open model comparison →

FLUX 3 Image is designed for creators and developers who need more control over the structure of a generated image than a simple text prompt may provide.

Black Forest Labs/FLUX 2 MAX

View model

Replicate

Black Forest Labs/FLUX 2 DEV

View model

Replicate

Black Forest Labs/FLUX 2 FLEX

View model

Uptime

Review live heartbeat data, endpoint availability and observed response times before moving into production.

Uptime

Request success rate over the last 30 days, reflecting the reliability of each model provider. CometAPI monitors all connected providers in real time, 24/7.

RespondLIVE

35209msAvg. Response

UptimeLIVE

100.0%Avg. Uptime

Updates

Follow meaningful availability, pricing and capability changes for GPT Image 2 without losing the stable model page.

Model changelog

One page that gets stronger over time.

Release notes, pricing changes, benchmark updates and migration guidance accumulate here while the canonical URL stays unchanged.

Apr 21, 2026

API availability confirmed

GPT Image 2 is available through the CometAPI model catalog and API documentation.

Current

Live data

Pricing and limits synced from the catalog

Price, context, availability and limits are treated as dynamic properties instead of being embedded in the page title or model identity.

Apr 17, 2026

Permanent model entity created

The provider and model slug form a durable canonical URL; future content and data updates remain on this page.

Keep exploring

GPT Image 2 API

Playground

Pricing

Model brief

What is GPT Image 2?

Current catalog snapshot

Overview

Technical specifications of GPT-Image 2

Main Features

Near-Perfect Text Rendering

Elimination of Yellow Color Cast & Superior Color Accuracy

Advanced World Knowledge & Real-World Scene Understanding

Enhanced Photorealism & Spatial Logic

Flexible Resolution & Quality Tiers

Strong prompt controllability

Benchmark performance

Observed improvements

GPT Image 2 vs Flux 2 vs Midjourney(2026)

Applications of the GPT Image 2

How to Integrate the GPT-Image-2 API on CometAPI

Step 1: Sign Up for API Key

Step 2: Send Image Generation Requests to GPT-Image-2 API

Step 3: Retrieve and Verify Results

Why Choose GPT Image 2 API on CometAPI

Unified & Easy-to-Use API

Competitive & Transparent Pricing

Fast Experimentation in Playground

FAQ

Is gpt-image-2 available via API?

What is gpt-image-2 API used for?

Does gpt-image-2 support image editing?

Is gpt-image-2 better than gpt-image-1.5?

Can gpt-image-2 generate photorealistic images?

When should I use gpt-image-2 instead of DALL-E 3?

API

One API, production-ready model access

Sample code and API for GPT Image 2

cURL Code Example

Python Code Example

JavaScript Code Example

Capabilities

Use cases

Other models

Uptime

Uptime

Updates

One page that gets stronger over time.

API availability confirmed

Pricing and limits synced from the catalog

Permanent model entity created

Compare models and continue your research

GPT Image 2 API

Playground

Pricing

Model brief

What is GPT Image 2?

Current catalog snapshot

Overview

Technical specifications of GPT-Image 2

Main Features

Near-Perfect Text Rendering

Elimination of Yellow Color Cast & Superior Color Accuracy

Advanced World Knowledge & Real-World Scene Understanding

Enhanced Photorealism & Spatial Logic

Flexible Resolution & Quality Tiers

Strong prompt controllability

Benchmark performance

Observed improvements

GPT Image 2 vs Flux 2 vs Midjourney(2026)

Applications of the GPT Image 2

How to Integrate the GPT-Image-2 API on CometAPI

Step 1: Sign Up for API Key

Step 2: Send Image Generation Requests to GPT-Image-2 API

Step 3: Retrieve and Verify Results

Why Choose GPT Image 2 API on CometAPI

Unified & Easy-to-Use API

Competitive & Transparent Pricing

Fast Experimentation in Playground

FAQ

Is gpt-image-2 available via API?