LLM Reference

MAI-Image-2.5

Released
2026-06-02
Last refreshed
2026-06-02
Status
Researched 1d ago
ProprietaryMultimodalVision

MAI-Image-2.5 is worth evaluating for vision when its provider route and context window match the workload.

Use it for

  • Teams evaluating vision
  • Workloads that can use a 32k context window
  • Buyers comparing 1 tracked provider route

Do not use it for

  • Strict JSON or tool-calling flows
Specifications
Family
MAI
Released
2026-06-02
Context
32k
Architecture
diffusion
Specialization
image-generation
License
Proprietary
Training
finetuned
Created by

Applied AI products and platforms from Microsoft

Redmond, Washington, United States
Website
Pricing
Output / 1M
-
Input / 1M
-

Cheapest of 1 route · Microsoft Foundry

About

MAI-Image-2.5 is a Microsoft AI text-to-image generation and image-to-image editing model. It supports precise edits such as object removal and replacement, attribute changes, inpainting, text updates, and artifact cleanup while preserving composition. Microsoft positions it for high-fidelity portraits, accurate text rendering inside images, and Azure AI Foundry Global Standard deployment across seven regions. It ranked #2 on the Arena AI image editing leaderboard and #3 on the Arena AI text-to-image leaderboard at launch, but no LLMReference-standard numeric image benchmark row is available yet.

MAI-Image-2.5 is a proprietary model in the MAI family. The structured metadata tracks a 32k-token context window and multimodal input. This page tracks provider routes through Microsoft Foundry. No headline benchmark score is tracked for MAI-Image-2.5 yet.

Top use-case fit

Vision

Included by capability and metadata signals in the decision map.

Provider price ladder

ProviderInput / 1MOutput / 1MRoute
Microsoft Foundry--
ServerlessPartial

Capabilities

VisionMultimodal

Benchmark peer barsfor Vision

No task-mapped benchmark peers are available for this model yet.

Migration checks

No linked migration route is available for this model yet.

Rankings & picks(5)