GPT Image 1.5

Flagship image generation model with instant serverless inference on Together AI.

About model

GPT Image 1.5 is OpenAI's flagship image generation model, delivering production-quality visuals with 4x faster generation and precise editing. Through Together AI's integration, developers can instantly evaluate and embed GPT Image 1.5 into their applications for rapid prototyping and seamless, high-scale deployment.

Quickstart guides

Image

Images Docs

API usage

cURL
Python
Typescript

Endpoint:

openai/gpt-image-1.5

curl -X POST "https://api.together.xyz/v1/images/generations" \
  -H "Authorization: Bearer $TOGETHER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "openai/gpt-image-1.5",
    "prompt": "Draw an anime style version of this image.",
    "width": 1024,
    "height": 768,
    "steps": 28,
    "n": 1,
    "response_format": "url",
    "image_url": "https://huggingface.co/datasets/patrickvonplaten/random_img/resolve/main/yosemite.png"
  }'

from together import Together

client = Together()

imageCompletion = client.images.generate(
    model="openai/gpt-image-1.5",
    width=1024,
    height=768,
    steps=28,
    prompt="Draw an anime style version of this image.",
    image_url="https://huggingface.co/datasets/patrickvonplaten/random_img/resolve/main/yosemite.png",
)

print(imageCompletion.data[0].url)

import Together from "together-ai";

const together = new Together();

async function main() {
  const response = await together.images.create({
    model: "openai/gpt-image-1.5",
    width: 1024,
    height: 1024,
    steps: 28,
    prompt: "Draw an anime style version of this image.",
    image_url: "https://huggingface.co/datasets/patrickvonplaten/random_img/resolve/main/yosemite.png",
  });

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

main();

Model card
Architecture Overview:
• Multimodal reasoning engine built for both text-to-image generation and precise image editing
• 4x faster generation speed than previous models while maintaining superior visual quality
• Adjustable quality settings to balance fast iteration with high-fidelity production

Training Methodology:
• Built-in spatial reasoning enables deep contextual understanding and world knowledge inference
• Optimized for strict production requirements, including brand consistency and multi-step editing

Performance Characteristics:
• High-fidelity photorealism with accurate lighting, natural materials, and rich textures
• Robust facial and identity preservation that stays consistent across multi-step editing workflows
• Native, reliable text rendering with crisp typography and contrast for infographics and UI mockups
• 20% cost reduction per image compared to the previous generation
‍
Applications & use cases
Production Visual Content:
• UI mockups and interface design with accurate text rendering and layout precision
• Infographics, diagrams, and data visualizations requiring readable typography
• Logo creation and brand asset generation with consistent visual identity
• Marketing materials and advertising creative with photorealistic quality

Ecommerce & Product:
• Product catalog generation with variants, scenes, and multiple angles from single source images
• Virtual try-ons for clothing and accessories with believable transformations
• Product photography enhancement and background editing while preserving brand elements

Content Creation:
• Comic strips and multi-panel compositions with consistent character design
• Editorial illustrations and conceptual artwork for publications
• Social media content with precise style control and rapid iteration
• Photo editing and retouching with targeted modifications preserving original composition
‍

Related models

Model specifications

Model data

Model provider
OpenAI
Type
Image
Main use cases
Image Generation
Deployment
Serverless
Endpoint
openai/gpt-image-1.5
Price
$0.034 / image
Input modalities
Text
Image
Output modalities
Image

Released
December 15, 2025
External link
Provider docs
Category
Image

Run in Playground

Quickstart docs

Deploy model

GPT Image 1.5

About model

API usage

Model card

Applications & use cases