GPT Image 2
by OpenAI
OpenAI next-gen image model with photorealistic quality up to 4K
Model
Enhance type
Quality
Aspect ratio
Batch
Click Generate to create your image
At a glance
- Provider
- OpenAI
- Credit cost
- 8 credits per image
- Max resolution
- Up to 4K
- Aspect ratios
- 1:1, 4:3, 3:4, 16:9, 9:16
- Images per run
- Up to 4
- Reference images
- Up to 4
- Commercial use
- Included on paid plans
GPT Image 2 across every job
One prompt per category, all rendered with GPT Image 2. Real output, not stock.
About GPT Image 2
GPT Image 2 is OpenAI's next-generation image model, the successor to DALL-E 3,accessible through DesignerBox without a separate ChatGPT or OpenAI subscription. It excels at natural-language prompt understanding (because it shares context with GPT-4) and produces the strongest text-in-image rendering on the platform, making it the go-to for posters, signs, packaging mockups, and any visual where typography accuracy matters.
Output supports up to 4K resolution with photorealistic quality, and the same model handles both text-to-image generation and image-to-image editing through a separate edit endpoint. Use it for hero campaign work, brand assets that need readable text rendered into the image, and any prompt-heavy creative work where you want the strongest LLM context to drive image generation.
On DesignerBox, GPT Image 2 costs 8 credits per generation, slightly more than Nano Banana Pro because of OpenAI's API pricing, but unlocks text-rendering and prompt-fidelity strengths the other models don't match.
Best For
Posters, signs, packaging mockups, brand assets with rendered text, and any creative work where prompt understanding (driven by GPT-4 lineage) is the primary criterion.
Strengths & trade-offs
The text-in-image champion
Strengths
- Best-in-class text rendering inside images
- Handles long, complex prompts reliably
- Up to 4K with strong photorealism
Trade-offs
- Most expensive per image
- Slower than the lighter models
Best for: Ads, posters, and anything with readable on-image text
See how GPT Image 2 compares to other models →What GPT Image 2 does best
Strengths that distinguish GPT Image from purely visual-aesthetic image models.
Multi-instruction following
Prompts with multiple specific instructions execute as instructions. Where Flux Pro interprets visually and Veo interprets cinematically, GPT Image executes literally on language.
Text-in-image rendering
Among the strongest text rendering on the platform. Brand-mark text, product labels, editorial type. Still requires character verification but the baseline is excellent.
Conversational prompts
Natural-language prompts that describe what you want without specialist grammar. The accessibility makes it the right entry point for teams new to image AI.
Editing across modalities
Edit existing images by describing changes in natural language. The multimodal integration with the GPT family makes the editing workflow conversational rather than parametric.
How to use GPT Image 2 on DesignerBox
Five steps that exploit the language-first interpretation.
Examples from GPT Image 2
Four frames showing how GPT Image 2 interprets the same scene with one attribute varied per frame.
First variation
Second variation
Third variation
Fourth variation
When to use GPT Image 2 vs alternatives
Six decision rules for image model selection.
Use GPT Image 2 for: editorial work with text
Social tiles, blog hero images, editorial layouts, news graphics. Anywhere text content and instruction precision matters more than peak photorealism.
Use GPT Image 2 for: conversational editing
Workflows that benefit from multi-pass refinement. Client iteration cycles. Evolving briefs. The editing strength makes this the right model for iterative work.
Use GPT Image 2 for: language-rich prompts
Complex narrative or instructional prompts. Teams new to image AI who write in natural language rather than specialist grammar.
Avoid GPT Image 2 for: peak photorealism premium
For absolute peak product photography fidelity, Flux Pro 1.1 outperforms. GPT Image is excellent but the absolute photorealism crown belongs elsewhere.
Avoid GPT Image 2 for: distinct visual aesthetics
GPT Image has a recognizable visual aesthetic. For brand work that needs to match a specific reference style, models with stronger style transfer often outperform.
Compare against Nano Banana Pro for similar use cases
Both GPT Image 2 and Nano Banana Pro excel at conversational editing and text rendering. Different visual aesthetics; pick based on which output style fits your brand. Many teams use both for different projects.