GPT Image 1.5
import { experimental_generateImage as generateImage } from 'ai';
const result = await generateImage({ model: 'openai/gpt-image-1.5', prompt: 'A red balloon on a wooden table.'});Playground
Try out GPT Image 1.5 by OpenAI. Usage is billed to your team at API rates. Free users (those who haven't made a payment) get $5 of credits every 30 days.
Your generated image will appear here
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About GPT Image 1.5
GPT Image 1.5 was released on December 16, 2025 as the successor to gpt-image-1 in OpenAI's image generation lineup. Building on gpt-image-1, it delivers improvements in visual fidelity, text rendering within images, and the model's ability to faithfully interpret complex, multi-element prompts.
Text rendering has been a persistent challenge for image generation models. GPT Image 1.5 improves this substantially, producing more legible and accurate text within generated images. This opens up use cases that require readable text overlays, signs, labels, and other textual elements in visual content.
The model also shows better compositional understanding, handling complex prompts with multiple subjects, specific spatial relationships, and detailed style instructions more accurately. For applications where visual quality and prompt fidelity are critical, it provides a meaningful step up over gpt-image-1.
What To Consider When Choosing a Provider
- Configuration: GPT Image 1.5 improves on gpt-image-1 across key dimensions including visual fidelity, text rendering within images, and accuracy of complex prompt interpretation.
- Configuration: For projects requiring image generation with better text rendering and prompt fidelity, GPT Image 1.5 is a step up from gpt-image-1.
- Zero Data Retention: AI Gateway does not currently support Zero Data Retention for this model. See the documentation for models that support ZDR.
- Authentication: AI Gateway authenticates requests using an API key or OIDC token. You do not need to manage provider credentials directly.
When to Use GPT Image 1.5
Best for
- Text-in-image applications: Generating images with accurate, readable text overlays
- Professional visual content: Marketing materials, product imagery, and branded content requiring high fidelity
- Complex scene composition: Detailed scenes with multiple elements, specific spatial relationships, and nuanced descriptions
- Design mockups: High-quality visual prototypes from detailed specifications
- Premium creative tools: Applications where image quality is a key differentiator
Consider alternatives when
- Cost-sensitive generation: Gpt-image-1-mini for high-volume use at lower cost
- Image analysis: GPT-4o or GPT-4.1 for understanding existing images
- Batch generation: Gpt-image-1 or mini for high-volume pipelines where gpt-image-1 quality is sufficient
- Text tasks: Any GPT model is the better fit for non-image workloads like analysis, coding, or generation
Conclusion
GPT Image 1.5 pushes image generation quality forward on AI Gateway, with particular advances in text rendering and complex prompt interpretation over gpt-image-1. For applications where visual content quality and prompt fidelity are priorities, it is the higher-quality option in the gpt-image family.