Venice, a privacy-focused AI platform, has added OpenAI's newest image models, GPT Image 2.6 Flare and Sunburst, to its catalog. Users can access both models anonymously and edit up to six images in a single session, expanding the platform's image generation and editing toolset.

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 image models. The integration arrives three days after the models' debut.

Flare is the speed-focused option. According to the research findings, it can produce an image in roughly six seconds at lower quality settings, making it more than 50% faster than the previous generation of OpenAI image models. Independent testing has also shown Flare running more than 2x faster than its sibling model.

Sunburst takes a different approach. It is built to preserve detail and keep layouts consistent across edits, capabilities that matter most for complex jobs.

The split gives users a practical trade-off: throughput for fast iteration on one side, fidelity for detail-heavy edits on the other.

Multi-Image and Markup-Guided Editing

The headline feature for Venice users is multi-image editing. The platform supports editing for up to six images within 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 as well. Options now include SVG and GIF formats, alongside standard image outputs.

Per-Image Pricing From $0.05 to $0.12

Venice is charging between $0.05 and $0.12 per image for the GPT Image 2.6 models, covering both Flare and Sunburst. Where a given image lands in that range depends on the resolution and quality settings selected.

Privacy as the Core Pitch

Venice has built its reputation on anonymized access to advanced AI models. Its core promise is that user prompts are not stored or profiled. Applied to the new models, users get the latest OpenAI image capabilities without tying that usage to an identity.

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. For readers tracking the space, the checkpoint to watch is how quickly Venice absorbs OpenAI's next image model release.

Source: CryptoBriefing. The original article was edited by Diego Almada Lopez.