MAI-Image-2.6-Flash Edit
The fast, low-cost member of the MAI-Image-2.6 family, delivering the same instruction-driven editing and multi-reference composition as the flagship at less than half the cost for latency-sensitive, high-volume workloads.
What it does
MAI-Image-2.6-Flash Edit, in practice.
MAI-Image-2.6-Flash is the fast, low-cost member of Microsoft AI's MAI-Image-2.6 family. It carries the same generation and editing capabilities as the flagship MAI-Image-2.6 model, tuned instead for latency-sensitive, high-throughput production workloads. This endpoint exposes its image-to-image path: you supply 1–5 reference images plus a natural language instruction, and the model returns an edited or newly composed image. MAI-Image-2.6-Flash is a diffusion-based generative model that progressively refines an image from the prompt and the supplied references. It handles both surgical edits — remove, replace, recolor, reposition, inpaint, fix text, clean up artifacts — and multi-reference
- Multi-reference composition — Accepts up to 5 reference images in a single request. A locked creative — a product, a character, a brand mark — stays consistent as you revise, recompose, and resize it. This is the defining capability of the 2.6 editing path.
- Surgical object editing — Remove, replace, recolor, or reposition specific elements without disturbing the rest of the frame.
- Inpainting and artifact cleanup — Fill missing regions, erase unwanted content, and remove blur, noise, and compression artifacts.
- In-image text updates — Rewrite signage, labels, packaging copy, and UI strings with legible, correctly spelled results, drawing on the 2.6 generation's substantially improved text rendering.
- Identity and layout preservation — Keeps faces, subject identity, and composition intact across edits.
- Style and layout transfer — References can act as content, layout, or style guides rather than only as the canvas being edited.
Run MAI-Image-2.6-Flash Edit
from $0.065/imageParameters
What you can set.
| Parameter | What it does | Options |
|---|---|---|
prompt | Text prompt describing the edit to perform on the input images. Maximum context length: 32,000 tokens. | |
reference_images | The images to edit, also used as content, layout or style references. Accepts 1 to 5 images. Must be in JPEG or PNG format. Supports both a public URL and a base64-encoded image for each item. The total pixel size of each image should be le | |
size | Controls the aspect ratio of the edited image. "default" preserves the aspect ratio of the input image, and "auto" lets the model evaluate the prompt and the provided image inputs and select the output aspect ratio it determines is best sui | default auto |
enable_web_search | If enabled, the model will use web search to ground the generation with real-time information. This can improve accuracy for prompts involving real-world entities, places, or events. | default |
Sample prompt
The prompt behind the sample.
Design a movie promotional poster featuring a snow-capped mountain climbing theme and including text.
size: defaultenable_web_search: enable_base64_output: enable_sync_mode: FAQ
Short answers.
How much does MAI-Image-2.6-Flash Edit cost?
Pricing starts at $0.065 per image at the base resolution; higher resolutions and longer durations cost more. Usage is billed per request from your balance — no subscription.
Does MAI-Image-2.6-Flash Edit run uncensored here?
No. Microsoft applies its own content policy to this model regardless of where it is called from. For a route without an extra platform filter use Uncensored MiniMax H3; this page lists MAI-Image-2.6-Flash Edit for everything else it does well.
What does MAI-Image-2.6-Flash Edit take as input?
It is a image editing model. The fast, low-cost member of the MAI-Image-2.6 family, delivering the same instruction-driven editing and multi-reference composition as the flagship at less than half the cost for latency-sensitive, high-volume workloads.
How do I use it?
Enter an invite code to open Chat with the model loaded, or join the waitlist. We open seats in batches and track which models are requested most.
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