The privacy-focused AI platform now offers both new OpenAI image models, with multi-image editing and per-image pricing from $0.05 to $0.12
Venice has added OpenAI’s newest image models, GPT Image 2.6 Flare and Sunburst, to its platform. Users can access them anonymously and edit up to six images at once.
Two models, two personalities
OpenAI released the GPT Image 2.6 family on November 4, 2026. Venice moved quickly to integrate both variants, adding them to a catalog that already included earlier OpenAI models.
Flare is the sprinter. It can produce an image in about six seconds at lower quality settings, according to the research findings. That makes it more than 50% faster than the previous generation of OpenAI image models. Independent testing also shows Flare can run over 2x faster than its sibling.
Sunburst is built to hold on to detail and keep layouts consistent across edits, which matters most for complex jobs.
What editing looks like now
The headline feature for Venice users is multi-image editing. The platform supports editing for up to six images in a single workflow.
The new models also support markup-guided editing. Instead of describing every change in words, users can mark up an image to show the model where adjustments should go.
Output flexibility has expanded too. Options now include SVG and GIF formats, alongside standard image outputs.
The price of a picture
Venice is charging between $0.05 and $0.12 per image for the GPT Image 2.6 models. Where a given image lands in that range depends on the resolution and quality settings chosen.
Why privacy is the whole point
Venice has built its reputation on anonymized access to advanced AI models. Its core promise is that prompts are not stored or profiled.
What this means
The research findings frame the launch as a response to growing demand for iterative image editing and text-to-image generation.
Venice brought both GPT Image 2.6 variants to users shortly after OpenAI released them, which suggests the platform can keep pace with a fast-moving release cycle.
Disclosure: This article was edited by Diego Almada Lopez. For more information on how we create and review content, see our Editorial Policy.

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