GPT Image 1.5: OpenAI's Latest with Quality Tier Selection

GPT Image 1.5 introduces a revolutionary smart quality tier system that fundamentally changes how you approach AI image generation. Choose Medium for rapid iteration during ideation—get results faster while maintaining good quality, perfect for exploring multiple creative directions without waiting. Switch to High when you need maximum detail for final deliverables, client presentations, or production-ready assets. The game-changing aspect: both tiers cost exactly the same credits, giving you complete flexibility to match quality to your workflow stage without any budget considerations. This means you can freely experiment with Medium quality during brainstorming, then regenerate your best concepts in High quality for final output.

As OpenAI's newest and most advanced image model, GPT Image 1.5 incorporates the latest breakthrough advances in AI image generation research. Expect dramatically improved prompt understanding that captures nuanced instructions and complex creative directions, better coherence in complex multi-element scenes with proper spatial relationships, more accurate text rendering within images for signage and labels, and enhanced detail fidelity across all image types. The model demonstrates superior understanding of lighting, shadows, reflections, and material properties. This is the cutting edge of what OpenAI offers—built on the same foundational technology that powers their most advanced language models, now applied to visual creativity.

Guide your generations with up to 4 reference images simultaneously, enabling sophisticated multi-reference workflows that were previously impossible. Combine a style reference with subject references, or use multiple angles of the same subject for character consistency across generations. You can also provide color palette examples, texture samples, and compositional guides all in one request. GPT Image 1.5 intelligently synthesizes information from all references to create cohesive, professional results that honor each input appropriately. This capability is essential for brand consistency, character design, product visualization, and any project requiring visual coherence across multiple outputs.