GPT Image 2.5 Sunburst and Flare: choose around the image job
A practical evaluation framework for the two GPT Image 2.5 model options.
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XMH.NET BLOG
GPT Image updates & guides
Important developments in AI. Practical context for the people building with it.
Model releases, developer tools, infrastructure, and image workflows — with primary sources and concise analysis.
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13 articles · Page 1 of 2Sorted by event date. Historical coverage shows the event date separately from the article's actual publication date.
Transparent backgrounds in GPT Image 2: review the edges
The August 2026 transparency preview and a checklist for assets that need an alpha channel.
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Older GPT Image models: plan ahead for December 1, 2026
A coordinated migration for GPT-image-1-mini, GPT Image 1.5, and chatgpt-image-latest.
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GPT-image-1 retirement: prepare for October 23, 2026
A migration checklist for teams still using the original GPT-image-1 model.
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GPT Image 2: reassess output sizes before changing the default
The April 2026 model release and a review of the image contract between your API and publishing tools.
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GPT Image in the Batch API: plan for completion, not instant previews
How to evaluate asynchronous image work for catalogs and other scheduled production tasks.
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JSON image edits: choosing URLs, file IDs, or multipart uploads
The February 2026 Images API update and what it changes in an image asset pipeline.
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A GPT Image edit fix: why explicit settings need regression checks
The January 2026 fidelity correction and a small test strategy for image-editing applications.
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GPT Image 1.5 in the Responses API: choosing an integration surface
Why an orchestration feature and a direct image endpoint serve different application needs.
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GPT Image 1.5: review an upgrade without losing your baseline
A controlled evaluation for the December 2025 GPT Image model release.
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GPT-image-1-mini: evaluating a lower-cost image workflow
Where a smaller image model can help, and why cost per approved asset matters more than request price alone.
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Preserving product details with GPT-image-1 input fidelity
A practical reading of the July 2025 high-fidelity guide for edits where logos, packaging, and identity matter.
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About this publication
Published by XMH.NET Editorial at SUPER GIANT TECHNOLOGY CO., LIMITED. We link to primary sources and distinguish announcements from our analysis. Historical articles reflect the stated event; current availability and terms may differ. Diagrams explain concepts and are not provider benchmarks.
We cover the wider AI industry; XMH.NET's services focus on image generation and editing APIs. For corrections, email postmaster@xmh.net.