Releases

Microsoft makes MAI-Image-2.6 and its Flash variant available in public preview through Microsoft Foundry.

Microsoft AI launches MAI-Transcribe-2 with automatic language identification and high-speed transcription across 60 languages.

Microsoft AI announces MAI-Image-2.6 with major benchmark improvements in generation and image editing.

Microsoft AI announces MAI-Voice-2 Flash as a lower-cost, ultra-efficient speech-generation variant.

Microsoft AI launches MAI-Voice-2 with natural multilingual speech generation and safeguarded short-sample voice adaptation.

Microsoft AI launches MAI-Transcribe-1.5 with high-speed transcription and support for domain terminology across 43 languages.

Microsoft AI launches a lower-cost, latency-optimized Flash variant of MAI-Image-2.5.

Microsoft AI launches MAI-Image-2.5 for high-fidelity text-to-image generation and controllable image editing.

Microsoft AI launches MAI-Code-1-Flash, an efficient agentic coding model integrated into GitHub Copilot and VS Code.

Microsoft AI launches MAI-Thinking-1, its flagship in-house reasoning model for complex instructions, mathematics and coding.

Microsoft AI launches MAI-Image-2 for faster, higher-quality image generation in Copilot and Microsoft Foundry.

Microsoft AI launches MAI-Transcribe-1 for high-speed multilingual speech-to-text through Microsoft Foundry.

Microsoft Research releases Phi-4 Reasoning Vision, a 15-billion-parameter open-weight multimodal reasoning model.

Microsoft AI announces MAI-Image-1, its first image-generation model developed entirely in-house.

Microsoft AI releases MAI-Voice-1, its first in-house expressive speech-generation model, through Copilot experiences.

Microsoft AI begins public testing of MAI-1 Preview, its first end-to-end internally trained foundation model.

Microsoft releases Phi-4 Mini Flash Reasoning for fast reasoning on edge, mobile and real-time systems.

Microsoft releases Phi-4 Mini Reasoning for efficient step-by-step mathematical reasoning on constrained hardware.

Microsoft releases Phi-4 Reasoning Plus, adding reinforcement learning for stronger and longer reasoning traces.

Microsoft releases Phi-4 Reasoning, a 14-billion-parameter model trained for complex multistep math, science and coding tasks.

Microsoft releases Phi-4 Multimodal, a 5.6-billion-parameter model jointly processing speech, vision and text.

Microsoft releases Phi-4 Mini, a compact long-context language model with multilingual and function-calling capabilities.

Microsoft releases Phi-4, a 14-billion-parameter small language model specializing in complex reasoning.

Microsoft releases Phi-3.5 Vision for multimodal image and text understanding.

Microsoft releases Phi-3.5 MoE, a mixture-of-experts small language model.

Microsoft releases Phi-3.5 Mini with multilingual support and a long context window.

Microsoft releases Florence-2, a unified prompt-based vision model for captioning, grounding, detection and segmentation.

Microsoft introduces Phi-3 Vision, a 4.2-billion-parameter multimodal model for image, chart, graph and table reasoning.

Microsoft expands Phi-3 with 7B Small and 14B Medium open models.

Microsoft releases Phi-3 Medium for higher-capability small-model workloads.

Microsoft introduces Phi Silica, an on-device small language model optimized for Windows neural processing units.

Microsoft releases Phi-3 Mini, a 3.8-billion-parameter model designed for capable language and reasoning on constrained devices.

Microsoft releases Phi-2, a 2.7-billion-parameter small language model with strong reasoning and language performance.

Microsoft Research releases Phi-1.5, a compact language model trained primarily on synthetic textbook-quality data.

Microsoft releases DeBERTa V3 with replaced-token detection and gradient-disentangled embedding sharing.

Microsoft introduces Turing-NLG, a 17-billion-parameter generative language model and, at the time, the largest published language model.