Microsoft AI has released MAI-Transcribe-2-Streaming：https://microsoft.ai/news/our-first-streaming-transcription-model/, its first streaming speech-to-text (STT) model. It launched on October 1, 2026, alongside 2 text-to-speech models, MAI-Voice-2.1 and MAI-Voice-2.1-Flash. Artificial Analysis：https://x.com/ArtificialAnlys/status/2105694108736188894 ranks it #1 of 38 models for final and first partial transcript accuracy. The model targets voice agents, live captions and dictation, where latency decides the experience.
MAI-Transcribe-2-Streaming is the real-time sibling of the batch MAI-Transcribe-2, released in September. It transcribes 60 languages with automatic, continuous language detection. Audio streams in continuously, and text streams back while the speaker is still talking.
The model emits its first hypotheses, called partials, just over 100ms after receiving audio. It revises those partials as context arrives, then commits a stable final transcript. An agent can therefore start reasoning or calling tools mid-sentence. Microsoft team states its internal tests show words appearing 2x faster than its closest competitor.
The AA-WER Streaming index：https://artificialanalysis.ai/speech-to-text/streaming uses about 8 hours of audio. The mix is AA-AgentTalk (50%), VoxPopuli (25%) and Earnings22 (25%). Latency is timed from the end of speech, as detected by SileroVAD.
The first partial is as accurate as the final transcript. That matters for agents that act before the speaker finishes. Microsoft also places the model on the accuracy versus latency Pareto frontier.
MAI-Transcribe-2-Streaming costs $0.54 per hour of audio. This is an introductory price through the end of 2026. Artificial Analysis normalizes it to $9.00 per 1,000 minutes. Batch MAI-Transcribe-2 costs $0.10 per hour. On streaming, Microsoft charges more than xAI and Meta, and roughly matches Google’s estimated rate.
Microsoft documents 2 integration paths. The Realtime API suits apps already using an OpenAI Realtime-compatible WebSocket. The Azure Speech SDK handles connection management, retries and audio streaming. Both return intermediate and final results.
The model is also available in the MAI Playground：http://playground.microsoft.ai/, through Vercel：https://aka.ms/mai-vercel and Azure Voice Live. LiveKit support is listed as coming soon.
Microsoft pairs it with MAI-Voice-2.1-Flash：https://learn.microsoft.com/en-us/azure/ai-services/speech-service/mai-voices for full voice loops. Flash generates 45s of audio at 150ms end-to-end latency for $15 per 1M characters. MAI-Voice-2.1 covers 23 languages and 26 locales at $22 per 1M characters.
Sources: Artificial Analysis：https://artificialanalysis.ai/speech-to-text/streaming, 9to5Mac (Muse pricing)：https://9to5mac.com/?p=1066961, DataCamp (Grok pricing)：https://www.datacamp.com/blog/grok-voice-transcribe-2-0, The Batch (Gemini pricing)：https://www.deeplearning.ai/the-batch/transcription-battles-heat-up. Verified October 2, 2026.
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