GPT-Image-1.5
gpt-image-1-5-dfceb1d9·4 events·first seen 28d agoAliases: GPT-Image-1.5, gpt-image-1, GPT Image 1.5
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OpenAI Launches GPT-Image-1.5 via ChatGPT Images Update
OpenAI has rolled out an upgraded image generation model, GPT-Image-1.5, to all ChatGPT users and via the API. The update promises more precise edits, more consistent details, and up to 4× faster image generation compared to the previous version. The rollout is global and simultaneous across consumer and API access tiers.
OpenAI Launches gpt-image-1 Image Generation Model via API
OpenAI has made its latest image generation model, gpt-image-1, available through its API for developers and businesses. The model is positioned for professional-grade, customizable visual generation integrated directly into third-party tools and platforms. This follows OpenAI's earlier consumer-facing image generation features and extends them to programmatic access.
Google launches Gemini 3.1 Flash Image (Nano Banana 2), faster and cheaper image generation
Google released Gemini 3.1 Flash Image (internally codenamed Nano Banana 2), a successor to Nano Banana Pro that is approximately four times faster and half the cost per image. The system is built on a mixture-of-experts transformer based on Gemini 3 Flash and supports up to 4096x4096 resolution, multilingual text rendering, and character consistency across images. It leads the Arena.ai text-to-image leaderboard by human preference (1,280 Elo) and competes closely with OpenAI's GPT Image 1.5 across multiple leaderboards, positioning Google competitively in the rapidly escalating image generation market.
DeepLearning.AI launches Context Hub for coding agents; Google releases Nano Banana 2 image generator
Andrew Ng and collaborators released Context Hub (chub), an open CLI tool that provides coding agents with up-to-date API documentation to reduce hallucinated or outdated API calls. Google separately launched Nano Banana 2 (Gemini 3.1 Flash Image), a faster and cheaper image-generation system built on Gemini 3 Flash's mixture-of-experts architecture, priced at roughly half its predecessor and claiming the top spot on Arena.ai's text-to-image leaderboard. The newsletter also references Claude Opus 4.6 as a leading coding model and notes the growth of agent-to-agent social infrastructure (OpenClaw, Moltbook) as context for the tooling need.