OpenAI has launched GPT Images 2.5, an update to its image generation capabilities. The primary improvement focuses on enabling precise edits to specific parts of an image while leaving the rest of the image unchanged. This addresses a common challenge in image editing tasks.
GPT Images 2.5 introduces two distinct models for developers: Flare and Sunburst. Flare is positioned as the default and faster option, suitable for general applications like social content and rapid prototyping. Sunburst is designed for premium visual workflows requiring greater precision and control, such as production-ready campaigns or product imagery, though it entails longer generation times.
OpenAI states that Flare offers higher-quality images and 50% lower latency compared to its predecessor, GPT-Image-2. This makes Flare a more efficient choice for everyday image generation tasks. Sunburst, while more precise, does not have its performance metrics detailed in comparison to Flare regarding time and cost.
Both Flare and Sunburst share identical token rates on paper: $5 per million text input tokens, $8 per million image input tokens, and $30 per million image output tokens. However, OpenAI has not provided clear guidance on how to estimate token consumption for GPT Images 2.5, and the existing GPT Image 2 cost calculator is explicitly stated not to work for the new models. This leaves developers without a clear understanding of the real-world cost differences between the two models or overall usage.
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OpenAI released GPT Images 2.5, introducing two new models, Flare and Sunburst, designed to improve localized image editing without affecting other parts of an image. This update provides developers with options for faster or more precise image generation, impacting workflows that require specific image modifications.