Microsoft announces seven AI models, including a reasoning one and an “ultra efficient” coding one fine-tuned for GitHub, for businesses and to lower its costs
Frontier models for reasoning and coding... …
Financial Times Rafe Rosner-Uddin
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Discussion
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@mustafasuleyman
Mustafa Suleyman
on x
Super excited to announce seven new world-class MAI models today. They represent what we consider a new era in AI designed to keep you in control and on the frontier. First is our text foundation model, MAI-Thinking-1, exceptionally strong on reasoning and SWE tasks. - It's a …
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@arena
@arena
on x
MAI-Image-2.5 has officially released from @MicrosoftAI landing at #2 in the Image Edit Arena (Single-Image-Edit) with a score of 1401 and advances the Pareto frontier! This puts the model +10 pts over Nano Banana 2, Grok Imagine Image Quality and ChatGPT-Image-Latest-High [image…
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@pierceboggan
Pierce Boggan
on x
Introducing MAI-Code-1-Flash A new coding model from Microsoft for fast, efficient assistance in everyday workflows Rolling out to @code developers in model picker and Auto now! https://microsoft.ai/... [image]
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@tomwarren
Tom Warren
on x
Microsoft is announcing MAI-Thinking-1 today, its first advanced reasoning AI model. It's built for math and coding primarily, and is part of 7 new AI models Microsoft is launching today. Details 👇 https://www.theverge.com/...
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@altryne
Alex Volkov
on x
I tried this new model 3 times via @OpenRouter and got a typo in the text in each one. I don't understand how it's claimed to be higher than Nano Banana... is it only measuring editing tasks on this leaderboard?
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@lmsysorg
@lmsysorg
on x
Huge milestone for the Microsoft AI team: seven frontier MAI models, led by MAI-Thinking-1. Proud that SGLang powered the RL inference stack behind it. Their Rocket framework runs SGLang and the SGLang router for load balancing, traffic control, prefix caching, and graceful
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@microsoft
@microsoft
on x
The @MicrosoftAI model family expands in Microsoft Foundry with 7 new models. A complete multimodal stack: Text, image, transcription, and voice, ready for developers to build with under one set of governance and security controls. #MSBuild [video]
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@swyx
@swyx
on x
you have to give @MicrosoftAI props for training all these in-house from scratch and getting ALL of them to near-SOTA. Mustafa built a full fledged neolab inside Microsoft in 2 years, that now MS fully controls from chip to model to harness. Absurdly impressive. [image]
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@microsoftai
@microsoftai
on x
MAI-Code-1-Flash beats Claude Haiku 4.5 on every coding benchmark we tested: 📈 SWE-Bench Verified: 71.6 vs 66.6 📈 SWE-Bench Pro: 51.2 vs 35.2 (+16 pts) 📈 Terminal Bench 2: 54.8 vs 41.6 With up to 60% fewer tokens. Now rolling out in GitHub Copilot. Read More:
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@jeffteper
Jeff Teper
on x
Awesome model price / performance innovation - will be an incredibly exciting year ahead!
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@microsoftai
@microsoftai
on x
Seven models. One lab. Zero distillation. Learn more here: https://microsoft.ai/... Try them on Microsoft Foundry. Multimodal models live on @OpenRouter today, Thinking model coming soon to Open Router, @FireworksAI_HQ and @baseten. Hold onto your hats, let's go!
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@nandodf
Nando de Freitas
on x
Very proud of my team for achieving this important milestone. They are very talented. Within a year, they transformed the AI capabilities of a large corporation.
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@microsoftai
@microsoftai
on x
Seven new models launching at Build: let's go! Reasoning. Code. Image. Transcribe. Voice. Built from scratch on a clean data lineage, designed for efficiency, working seamlessly as a family of models Thread 🧵 #MSBuild [image]
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@thetranscript_
@thetranscript_
on x
Trying to figure out which models to use for what: $MSFT [image]
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@altryne
Alex Volkov
on x
BREAKING: Microsoft (specifically MAI, previously reflection) just announced their new LLM. MAI-Thinking-1 and MAI-Code-1-Flash MAI-Thinking is comparing itself to Sonnet, and showing interesting evals! Not available to try yet sadly. [image]
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@microsoftai
@microsoftai
on x
MAI-Transcribe-1.5: the only model in the top group of both Accuracy and Speed on Artificial Analysis. 🥇 #1 on FLEURS averaged across 43 languages 🥇 #1 on Artificial Analysis Accuracy x Speed Pareto Frontier 🥉 #3 on Artificial Analysis-WER at 2.4% ⚡ up to 5x faster than [video]
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@eliebakouch
Elie
on x
WOW microsoft new “MAI Thinking 1” model comes with a 109 page tech report that looks REALLY detailed, this is amazing [image]
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@stepango
Stepan Goncharov
on x
Sadly, no one cares
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@satyanadella
Satya Nadella
on x
5/With our 7 new MAI models + Frontier Tuning, we are helping every company move from just consuming frontier models to fully participating in the frontier ecosystem. [image]
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@microsoftai
@microsoftai
on x
Humanist superintelligence. The kind of AI worth building. https://microsoft.ai/... #MSBuild [video]
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@chihyaoma
Kevin Chih-Yao Ma
on x
Our image editing model is out today! Better than latest Nano banana from Gemini, landing us top 2 worldwide! Another milestone by such a small and incredible team.
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@soldni
Luca Soldaini
on x
Climbing with no distillation, like the Big Boys do, has been super fun! Read the tech report for a taste of our ̶s̶u̶f̶f̶e̶r̶i̶n̶g̶ journey [image]
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@brijones
Brian Jones
on x
Great partnership with the MAI team and we're excited to start rolling this out in Excel Copilot: “our MAI tuned model for Excel matches GPT 5.4 while being up to 10× more efficient.”
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@mustafasuleyman
Mustafa Suleyman
on x
Today's news all comes down to this: we're putting our relentless hill-climbing machine at your service. From launching top tier models to helping you make them your own, our commitment as a platform company is to keep you at the absolute frontier. For all the details:
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@microsoftai
@microsoftai
on x
MAI-Voice-2 + MAI-Voice-2-Flash. Our most expressive text-to-speech model yet: 🌍 15 languages with emotion control (excited, whispered, embarrassed and more) 🎭 Stable speaker identity across long-form content 🗣️ Code-switching for Hindi-English and Spanish-English ✅ [video]
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@artificialanlys
@artificialanlys
on x
Microsoft has released MAI-Transcribe-1.5: an exceptionally fast speech transcription model at a speed factor of ~276x, while still achieving 2.4% on AA-WER (#3), leading the accuracy-speed Pareto frontier MAI-Transcribe-1.5 is Microsoft AI (MAI)'s latest speech transcription [im…
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Young Jin Kim
Young Jin Kim
on linkedin
Excited to share what we've been building!! 🚀 🚀 🚀 — Frontier models for reasoning and coding... …
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@phillipcarter.dev
Phillip Carter
on bluesky
Microsoft is going to start pushing out bona fide models now, excited to see where this goes microsoft.ai/news/buildin...
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r/singularity
r
on reddit
Building a hill-climbing machine: Launching seven new MAI models | Microsoft AI