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GPT Image 2 & Image Thinking — Image & Multimodal

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GPT Image 2 & Image Thinking

🖼️ Image & Multimodal 15 min 300 BASE XP⌨ HANDS-ON LAB

Next-Gen Visual Generation (2026 Standard)

GPT Image 2 (gpt-image-2) replaced both retired DALL-E 3 and legacy gpt-image-1 (shut down Oct 2026; interim gpt-image-1.5 / gpt-image-1-mini sunset Dec 1, 2026) as OpenAI's unified visual generation and conversational editing model. It introduces token-based pricing, flexible aspect ratios, and pixel-accurate typography.

Key Capabilities

FeatureDALL-E 3 (Retired)GPT Image 2 (gpt-image-2)
Text in imagesOften garbledPixel-perfect rendering
Aspect ratiosFixed (1:1, 16:9)Fully flexible
EditingInpainting onlyFull conversational editing
PricingPer-imageToken-based (pay for complexity)
const image = await openai.images.generate({
  model: "gpt-image-2",
  prompt: "A futuristic Tokyo skyline at sunset, cyberpunk style, 8K detail",
  size: "1536x1024",
  quality: "high"
});

GPT Image Thinking

A specialized capability that combines agentic layout reasoning with visual generation. It analyzes complex multi-element prompts, plans typography and composition, and refines visual outputs before returning the final image.

Vision Input (Multimodal)

OpenAI's active multimodal models (GPT-6 Astra, GPT-6.1 Sol, GPT-6.1 Terra, and GPT-6 Luna, plus deprecated GPT-4o until Jan 14, 2027) natively accept image inputs - upload photos, screenshots, charts, or documents for visual reasoning.

const response = await openai.responses.create({
  model: "gpt-6.1-terra",
  input: [{
    role: "user",
    content: [
      { type: "input_text", text: "What's in this screenshot?" },
      { type: "input_image", image_url: "https://example.com/screenshot.png" }
    ]
  }]
});
💡 Tip: Pair gpt-image-2 inside the Responses API (tools: [{ type: "image_generation" }]) for multi-turn design iteration in natural language.
⌨ HANDS-ON LABGenerate High-Definition Visuals with GPT Image 2
⭐ +150 XP

Synthesize visual assets using OpenAI's flagship image generation endpoint. Request a 1024x1024 high-fidelity image via /v1/images/generations with gpt-image-2.

1POST to https://api.openai.com/v1/images/generations with model gpt-image-2 and size 1024x1024.
lab-sandbox — simulated environment
INFINITY LAB SANDBOX v2.6 — simulated shell
Type the command for the current objective. Helpers: "hint", "solution", "clear".
$
OBJECTIVE 1 / 1 — type "hint" if stuck
SYNAPSE VERIFICATION
QUERY 1 // 3
What distinguishes GPT Image Thinking from legacy diffusion-only generation?
It's free
It combines reasoning and layout planning to autonomously refine complex visual compositions and text
It only generates 3D models
It generates videos