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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

Discussion

  • @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 …
  • @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…
  • @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]
  • @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/...
  • @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?
  • @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
  • @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]
  • @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]
  • @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:
  • @jeffteper Jeff Teper on x
    Awesome model price / performance innovation - will be an incredibly exciting year ahead!
  • @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!
  • @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.
  • @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]
  • @thetranscript_ @thetranscript_ on x
    Trying to figure out which models to use for what: $MSFT [image]
  • @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]
  • @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]
  • @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]
  • @stepango Stepan Goncharov on x
    Sadly, no one cares
  • @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]
  • @microsoftai @microsoftai on x
    Humanist superintelligence. The kind of AI worth building. https://microsoft.ai/... #MSBuild [video]
  • @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.
  • @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]
  • @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.”
  • @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:
  • @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]
  • @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…
  • Young Jin Kim Young Jin Kim on linkedin
    Excited to share what we've been building!!  🚀 🚀 🚀  —  Frontier models for reasoning and coding... …
  • @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...
  • r/singularity r on reddit
    Building a hill-climbing machine: Launching seven new MAI models |  Microsoft AI