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Microsoft Debuts Self-Developed Models MAI-Image-2.5-Pro and MAI-Voice-2-Flash, Now Integrated into Bing and PowerPoint
On July 23, Microsoft announced the public preview of two proprietary AI models: MAI-Image-2.5-Pro and MAI-Voice-2-Flash. These models are designed for high-quality image generation and high-concurrency voice interactions. Microsoft emphasized that the training data is cleaned, traceable, and not derived from third-party model distillation. Built from the ground up, they directly serve Microsoft product users.
Highest-precision image model reduces GPU costs by up to 84%
MAI-Image-2.5-Pro is Microsoft's most precise image model, targeting demanding use cases like hero image generation, detailed editing, and in-image text rendering, while supporting natural language editing instructions. It has become the default image generation model in Bing Image Creator and is used for image-to-image editing in PowerPoint. Compared to GPT-Image-2, it cuts GPU costs by up to 84%. After deployment in OneDrive, scenario success rates rose by 26%, P95 latency dropped by about 25%, and efficiency in medium-load production environments improved by 2.5 times.
Pricing is $5 per million tokens for text input and $106 per million tokens for image output.
Voice model doubles speed, serving customers like T-Mobile
MAI-Voice-2-Flash is optimized for high-frequency voice applications, offering roughly twice the speed of the previous generation and a 32% cost reduction, making it ideal for fast-response scenarios such as contact centers and voice assistants. Integrated into Dynamics 365 Contact Center, it serves customers like T-Mobile and EasyJet, with GPU cost reductions of up to 89%. Microsoft has also embedded it into the Azure Voice Live service, enabling developers to build voice-to-voice interactive agents.
Additionally, the MAI-Transcribe-1.5 model from the same series has been applied to the medical voice solution Dragon Copilot, used by 170,000 healthcare providers. It processed 28 million patient consultations last quarter, supports 58 languages, and reduces transcription error rates by roughly 50% for most languages. Microsoft revealed that the next-generation GB200 computing cluster is already operational, and the MAI series will continue to expand.
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On July 23, Microsoft announced the public preview of two proprietary AI models: MAI-Image-2.5-Pro and MAI-Voice-2-Flash. These models are designed for high-quality image generation and high-concurrency voice interactions. Microsoft emphasized that the training data is cleaned, traceable, and not derived from third-party model distillation. Built from the ground up, they directly serve Microsoft product users.
Highest-precision image model reduces GPU costs by up to 84%
MAI-Image-2.5-Pro is Microsoft's most precise image model, targeting demanding use cases like hero image generation, detailed editing, and in-image text rendering, while supporting natural language editing instructions. It has become the default image generation model in Bing Image Creator and is used for image-to-image editing in PowerPoint. Compared to GPT-Image-2, it cuts GPU costs by up to 84%. After deployment in OneDrive, scenario success rates rose by 26%, P95 latency dropped by about 25%, and efficiency in medium-load production environments improved by 2.5 times.
Pricing is $5 per million tokens for text input and $106 per million tokens for image output.
Voice model doubles speed, serving customers like T-Mobile
MAI-Voice-2-Flash is optimized for high-frequency voice applications, offering roughly twice the speed of the previous generation and a 32% cost reduction, making it ideal for fast-response scenarios such as contact centers and voice assistants. Integrated into Dynamics 365 Contact Center, it serves customers like T-Mobile and EasyJet, with GPU cost reductions of up to 89%. Microsoft has also embedded it into the Azure Voice Live service, enabling developers to build voice-to-voice interactive agents.
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