Microsoft

20 releases covered on ThursdAI · microsoft.com ↗

July 2026

Microsoft
New Models

MAI-Cyber-1-Flash + MDASH

Microsoft's first in-house cyber model: MAI-Cyber-1-Flash + MDASH score 96% on CyberGym at half the cost

A compact 5B-active model paired with MDASH, Microsoft's multi-agent scanning harness orchestrating 100+ specialized agents, hits 95.95% on CyberGym — about 12 points above Anthropic's Mythos — while routing ~90% of detection work to the cheap specialist and escalating only the hardest cases to GPT-5.4. Beyond benchmarks it found 16 real Windows CVEs (4 critical RCEs) and went 21-for-21 on planted bugs with zero false positives. Project Perception enters public preview August 3.

96% CyberGym, at half the previous cost16 real Windows CVEs found, 4 critical
Microsoft
New Models

MAI-Image-2.5-Pro & MAI-Voice-2-Flash

Microsoft ships MAI-Image-2.5-Pro and MAI-Voice-2-Flash, launched live during the ThursdAI broadcast

Microsoft AI released two in-house models the same morning as the Jul 23 live show: MAI-Image-2.5-Pro, the flagship high-fidelity tier of its image line ($5/$8 per 1M text/image-input tokens, $106 per 1M image-output tokens), and MAI-Voice-2-Flash, a voice tier Microsoft pitches as 2x faster than MAI-Voice-2 and 32% cheaper at $15 per 1M characters — continuing the build-out of first-party MAI models alongside the OpenAI partnership.

$106 MAI-Image-2.5-Pro per 1M image-output tokens2x / -32% MAI-Voice-2-Flash speed / cost vs MAI-Voice-2

June 2026

Microsoft
New Models

MAI-Code-1-Flash

Microsoft ships MAI-Code-1-Flash into GitHub Copilot

Part of the seven-model MAI launch at Build 2026, MAI-Code-1-Flash is Microsoft AI's fast coding model and ships directly into GitHub Copilot. The panel saw it as a sign Microsoft intends to serve its own models inside its developer surfaces instead of relying solely on OpenAI.

Microsoft
New Models

MAI-Thinking-1

Microsoft launches MAI-Thinking-1, a 1T MoE trained from scratch

Microsoft AI used Build 2026 to launch seven MAI models, headlined by MAI-Thinking-1, a 1T total, 35B active MoE reasoning model trained from scratch on 33T tokens without distillation. The panel read the launch as Microsoft becoming a frontier model lab in its own right rather than only an OpenAI distribution channel.

1T MAI Thinking 1 total parameters33T MAI training tokens

May 2026

Microsoft
New Models

MAI-Image-2.5

Microsoft MAI-Image-2.5 jumps to #3 on Arena text-to-image

MAI-Image-2.5 jumped to number two on Arena's image-to-image leaderboard shortly after launch, with notable strength in image cleanup, backgrounds, documents, and diagrams. Hands-on tests on the show were mixed, and it is publicly accessible through playground.microsoft.ai.

April 2026

Microsoft
Benchmarks & Evals

DELEGATE-52

Microsoft's DELEGATE-52 exposes stealthy document corruption

Microsoft released the DELEGATE-52 benchmark showing GPT-5.4 loses 28% of document content after 20 iterative edits. Frontier models corrupt documents stealthily while preserving structure, making the degradation hard to notice.

Microsoft
New Models

MAI-Voice-1

Microsoft MAI debuts MAI-Voice-1 expressive voice model

MAI-Voice-1 is Microsoft's expressive voice model, the third piece of the MAI in-house model drop alongside transcription and image generation. The panel discussed how Microsoft's first-party voice stack compares to specialist voice providers.

December 2025

Microsoft
New ModelsOpen weights

VibeVoice-Realtime-0.5B

Microsoft shares VibeVoice-Realtime-0.5B with ~300ms latency TTS

Microsoft published VibeVoice-Realtime-0.5B on Hugging Face, a small realtime text-to-speech model claiming roughly 300ms latency. The show framed it as more evidence that sub-second audio response is becoming table stakes for production voice agents.

~300ms Claimed TTS latency0.5B Parameters

November 2025

Microsoft
New ModelsOpen weights

Fara-7B

Microsoft ships Fara-7B, a 7B on-device computer use agent

Microsoft Research released Fara-7B, a best-in-class 7B-parameter vision-language model for computer use that runs on-device. It scores 73.5% on WebVoyager, beating OpenAI's computer-use preview while being small enough to run locally.

73.5% WebVoyager

October 2025

Microsoft
Major Features & Updates

Edge Copilot Mode (agentic)

Microsoft adds agentic powers and voice to Copilot Mode in Edge

Microsoft answered Atlas with agentic enhancements to Copilot Mode in Edge, including a voice mode that can see and discuss the current page, plus broader Copilot updates (and Clippy back as an easter egg via the Mico avatar). In Alex's hands-on testing the agentic features did not actually work, so real-world parity with Atlas and Comet is unproven.

July 2025

Microsoft
Papers & Research

MAI-DxO

Microsoft's MAI-DxO hits 85.5% on NEJM diagnostic cases vs 20% for doctors

Microsoft AI published MAI-DxO, a medical diagnostic orchestration system that reached 85.5% accuracy on challenging NEJM-style cases compared to roughly 20% for practicing physicians. The result is framed as a systems win rather than a single-model win, suggesting orchestration may outperform individual models in high-stakes expert workflows.

85.5% MAI-DxO accuracy

May 2025

Microsoft
New ModelsOpen weights

Phi-4-reasoning

Microsoft ships Phi-4-reasoning and Phi-4-reasoning-plus (14B, MIT)

Microsoft fine-tuned the 14B Phi-4 on 1.4M curated chain-of-thought traces (SFT) and added a small RL stage (Plus variant) to create two MIT-licensed reasoning models. They punch far above their weight: Phi-4-reasoning-plus outperforms DeepSeek-R1-Distill-70B on AIME 25 (78% vs 51%) and sits within a few points of the full 671B DeepSeek-R1, while running on a single GPU with explicit <think> scaffolding.

April 2025

Microsoft
New ModelsOpen weights

BitNet b1.58

Microsoft releases BitNet 1.58-bit model weights on Hugging Face

Microsoft published BitNet (listed in the show notes as BitNet v1.5), its native 1.58-bit quantized LLM, as open weights on Hugging Face. The ternary-weight approach targets extremely efficient CPU inference at a fraction of the memory of standard models.

February 2025

Microsoft
New ModelsOpen weights

Phi-4-multimodal

Microsoft releases Phi-4-multimodal and Phi-4-mini open weights

Microsoft expanded the Phi family with Phi-4-multimodal-instruct, a small open-weights model that handles text, vision, and audio in a single model, alongside a compact Phi-4-mini. The weights shipped on Hugging Face, continuing Microsoft's push for capable small models that can run on-device.

Microsoft
Products & Apps

Majorana 1

Microsoft unveils Majorana 1 quantum chip and a new state of matter

Microsoft announced the Majorana 1 quantum chip alongside a claimed new state of matter called topological superconductivity, carving a new path for quantum computing. Alex called the announcement 'absolutely mind blowing' as a potential big deal for the future of computing.

Microsoft
New ModelsOpen weights

MUSE (WHAM)

Microsoft MUSE generates playable game worlds from a single second of video

Microsoft's MUSE can generate minutes of playable gameplay from just a single second of video frames and controller actions, preserving screen elements like health bars and percentages. It is based on the World and Human Action Model (WHAM) architecture, trained on a billion gameplay images from Xbox, with the model released on Hugging Face.

Microsoft
New ModelsOpen weights

OmniParser v2

Microsoft ships OmniParser v2 for faster screen parsing in GUI agents

Microsoft released OmniParser v2, a better and faster screen-parsing model that converts UI screenshots into structured elements for GUI agents. It improves the computer-use agent stack and is available with a public Gradio demo.