微软发布MAI系列模型:MAI-Thinking-1推理模型及6款新模型

There are no shortcuts to the frontier. Disciplined, patient, meticulous attention to detail is crit...

精选理由

微软一口气推出7款模型,覆盖推理、编码、语音、图像全场景,MAI-Thinking-1在编码基准上追平Opus 4.6,做AI应用开发或模型选型的团队值得关注这份109页技术报告。

AI 摘要

微软CEO Mustafa Suleyman在X上宣布发布MAI系列模型,包括MAI-Thinking-1推理模型、MAI-Transcribe-1.5转录模型、MAI-Voice-2语音生成模型、MAI-Code-1-Flash编程模型和MAI-Image-2.5图像模型。MAI-Thinking-1在SWE-Bench Pro上达到53%,与Opus 4.6并列最强编码基准。MAI-Transcribe-1.5在43种语言上超越Gemini和OpenAI,速度快5倍。MAI-Code-1-Flash仅5B激活参数,SWE-Bench Pro达51%。微软还发布了109页详细技术报告,强调前沿没有捷径,需要严谨、耐心和细节关注。

原文 · Mustafa Suleyman

There are no shortcuts to the frontier. Disciplined, patient, meticulous attention to detail is crit...

There are no shortcuts to the frontier. Disciplined, patient, meticulous attention to detail is critical. To give everyone a good sense of our progress we've published a very detailed technical report (109 pages!) outlining how we trained MAI-Thinking-1 and what we learned along the way. microsoft.ai/wp-content/upl… It's exceptionally strong in reasoning and SWE benchmarks. I’m super proud that it’s at 53% on SWE-Bench Pro, placing it right alongside Opus 4.6 on one of the toughest coding benchmarks. We have a lot more work to do as we get it into production and climb on more real world use cases. We also launched six other world class models. Here's the line up: microsoft.ai - MAI-Transcribe-1.5 is the best transcription model in the world, with SOTA accuracy across 43 languages, beating out Gemini and OpenAI’s flagship transcription models. It offers the best accuracy, 5x faster than rival models. It's now in Microsoft Foundry, where it’s the fastest, most efficient and most cost‑effective transcription model of any hyper-scaler. - MAI‑Voice‑2 our latest speech generation model, with native‑sounding delivery and fine‑grained emotional control, available in 15 languages with lots more coming soon. And MAI-Voice‑2‑Flash provides the best value and speed for ultra latency‑sensitive Voice Agents. - MAI-Code-1-Flash is our new inference efficient coding model, especially tuned for VS Code and GitHub Copilot CLI. It's a brilliant, fast model at just 5B actives, and delivers 51% on SWE-Bench Pro. Super excited to get it into prod and climb on more real-world tasks. - MAI-Image-2.5 and Flash are two super strong models that deliver a step change in quality and surpass Nano Banana 2 on the image editing leaderboard. MAI-Image-2.5 delivers super strong performance on H100s, enabling deployment on existing infrastructure, with flexibility to scale across GB200/GB300 systems. We're hiring! We're a lean, fast-moving lab made of some of the world's most talented minds. Come join us as we work on our next generation of models! 💬 14 🔄 21 ❤️ 152 👀 5550 📊 36 ⚡