Mustafa Suleyman(@mustafasuleyman)
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TL;DR · AI 摘要
微软发布MAI-Transcribe-2-Streaming模型，实测较ElevenLabs快55%且成本降低60%，在AA-WER指标上达到2.5% WER。
核心要点
- MAI-Transcribe-2-Streaming在AA-WER指标上实现2.5% WER，领先行业水平
- 微软模型较ElevenLabs方案提速55%且成本降低60%
- 模型已集成至Vercel和OpenRouter等开发者工具链
结构提纲
按章节快速跳转。
Mustafa Suleyman宣布微软推出新一代实时转录模型MAI-Transcribe-2-Streaming
- ·性能指标
该模型在AA-WER指标上达到2.5% WER，较ElevenLabs方案提升55%速度
- ›成本优势
相比竞品方案，新模型可降低60%的使用成本
- ·部署情况
模型已上线Microsoft Foundry并集成至Vercel/OpenRouter等工具
思维导图
用一张图看清主题之间的关系。
查看大纲文本（无障碍 / 无 JS 友好）
- MAI-Transcribe-2-Streaming模型发布
- 性能突破
- 2.5% WER精度
- 0.13s延迟
- 竞争优势
- 55%速度提升
- 60%成本降低
- 应用生态
- Microsoft Foundry
- Vercel集成
- OpenRouter支持
金句 / Highlights
值得收藏与分享的关键句。
MAI-Transcribe-2-Streaming在AA-WER Streaming测试中实现2.5% WER，0.13秒后达到最终转录精度
微软模型相较ElevenLabs方案在实时转录速度上提升55%，成本降低60%
Microsoft Foundry已开放所有模型，支持Vercel和OpenRouter等工具链集成
#语音识别#AI模型#微软#ElevenLabs#实时转录
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Mustafa Suleyman on X
-  Mustafa Suleyman @mustafasuleyman Oct 1 We're launching the most accurate real time transcription model in the world... #1 !!! 55% faster and 60% cheaper than ElevenLabs. Come build agents on our platform! Artificial Analysis @ArtificialAnlys Oct 1 Microsoft AI has released MAI-Transcribe-2-Streaming, taking the #1 spot for Final Transcript accuracy and First Partial Transcript accuracy on AA-WER Streaming with 2.5% WER at 0.13s after end of speech MAI-Transcribe-2-Streaming is @MicrosoftAI's new streaming Speech to Text Show more Video 2
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-  Mustafa Suleyman @mustafasuleyman  [](https://x.com/mustafasuleyman/status/2105701399980044591/photo/1) 4:48 PM · Oct 1, 2026·8,649 Views 4 1 40 4
-  Mustafa Suleyman @mustafasuleyman Oct 1 All models are available today in Microsoft Foundry. We're also excited to bring these models into tools you use everyday like Vercel and OpenRouter. From ai.azure.com 5 4 29 6.5K
-  Lucifer@VBerberian_L Oct 1 This is cool we can convert everything to audiobook. Is it En only? What languages supported? [](https://x.com/compose/post?in_reply_to=2105702059286974745) 41
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