MAI-Image-2.5
MAI-Image-2.5 is Microsoft AI’s strongest image model yet and the next step in the MAI-Image series. It launched ranked third on the Arena text-to-image leaderboard and performs well across a wide range of styles, following instructions closely, rendering text more reliably than before, and producing detailed, coherent images as intended. The model delivers a step change in quality over MAI-Image-2, with major improvements in text rendering, stylized illustration, and commercial imagery. It also shows strong visual reasoning across objects, scene structure, lighting, scale, and spatial relationships, helping turn simple directions into polished images. MAI-Image-2.5 is especially focused on the details that make professional creative work usable: sharper words on posters, cleaner labels on packaging, stronger product-shot structure, more deliberate scenes, better layouts, and more polished brand-forward visuals.
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MAI-Image-2
MAI-Image-2 is an advanced text-to-image model developed to enhance creative workflows with highly realistic and detailed visual outputs. It is ranked among the top three model families on the Arena.ai leaderboard, reflecting strong real-world performance. The model is designed in collaboration with creatives, including photographers and designers, to meet practical artistic needs. It delivers enhanced photorealism with accurate lighting, textures, and lifelike environments. MAI-Image-2 also improves in-image text generation, enabling users to create posters, infographics, and visual content with embedded typography. The model supports complex and imaginative scene creation, from cinematic visuals to abstract compositions. Available through platforms like MAI Playground, Copilot, and Bing Image Creator, it allows users to experiment and generate high-quality visuals.
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MiniMax H3
MiniMax H3 is a general-purpose omni-modal generation model that jointly understands multimodal contexts spanning text, images, video, and audio. It generates videos with native stereo sound at up to 2K resolution and 15 seconds in length, delivering content for advertising, branding, ecommerce, product design, UI/UX, gaming, and creative workflows. Users can combine reference types in one instruction, for example, transferring camera movement from a video, placing a character from an image into the scene, and matching vocals from an audio clip, while describing the relationships in natural language. H3 supports text-to-image, text-to-video with jointly generated audio, multi-shot modeling, text-to-audio, and generalized reference and editing across images, videos, and audio. Voice, sound effects, and music are modeled together. The model excels at instruction following, accurate text and brand presentation, and video-to-video motion transfer.
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MAI-Image-2.5-Flash
MAI-Image-2.5-Flash is a text-to-image generation and image-to-image editing model in Microsoft Foundry, designed to create high-quality, visually rich images from natural language prompts and perform precise, controllable edits on existing images. It uses a diffusion-based generative approach to progressively refine images, enabling strong alignment between the input text and the generated output. The model supports prompt-based image creation and editing workflows where users can describe the desired visual result, modify an existing image, or generate production-ready creative assets with stronger control over composition and style. As part of Microsoft’s MAI image generation family, MAI-Image-2.5-Flash is positioned for fast, scalable image generation and editing in enterprise and developer environments, with access through the Microsoft Foundry model catalog. It is built for applications that need visual generation inside business products, creative tools, content workflows, etc.
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