AI Coding Live News

Microsoft AI announced on November 12 that MAI-Transcribe-2, its in-house speech-to-text model, is generally available in Microsoft Foundry for production use at $0.10 per hour of audio, a limited-time price through the end of 2026. The model entered public preview on September 3 and covers 60 languages in one model, with built-in speaker diarization, word-level timestamps and keyword biasing. Microsoft says it transcribes an hour of audio in about ten seconds of inference and averages 3.4% word error rate on the top 25 FLEURS languages.

Zoom

On November 13 Artificial Analysis published the Diarization Index, a benchmark for whether speech to text APIs attribute each word to the person who actually said it. It scores Word Diarization Error Rate (WDER), the share of words given to the wrong speaker or to no speaker, across 97 English conversations of two to eight people, averaging three speaker bands (2, 3-4 and 5-8) with equal weight. NVIDIA's open-weight Nemotron 3.5 Transcribe leads at 3.3%, ahead of Voxtral Small Transcribe 3 at 7.5%, the most accurate priced API; MAI-Transcribe-2 scores 8.8% and is one of the fastest.

Zoom

On November 10 (02:10 on November 11 Singapore time) ElevenLabs released two speech-to-text models: Scribe v3 for recorded audio and Scribe v3 Live for realtime streams. By the vendor's numbers, Scribe v3 cuts word error rate (WER) by 27% versus Scribe v2 across 102 FLEURS languages, improving in every language, while Scribe v3 Live lowers semantic WER by 43% versus Scribe v2 Realtime and, for the first time, adds speaker diarization and context-aware turn detection to realtime transcription. Both models are live in ElevenAPI, where switching from v2 is a one-line model ID change; the API pricing page lists $0.20 per audio hour for v3 and $0.22 for v3 Live. Third-party evaluator Voice Arena tested v3 Live on 70+ hours of real phone calls and ranked it first in Romanian and Indian English.

Zoom

Mistral AI unveiled Voxtral 3, a production audio intelligence suite paired with a real-time Voice-Agent API. The lineup features the 4B-parameter Mini Transcribe, Small Transcribe 3, and a turn-key voice agent SDK built on LiveKit. Supporting transcription across 50 languages with diarization, multi-lingual TTS with emotional tags across 35+ languages, and 30-minute voice cloning, Voxtral 3 redefines voice AI economics. In Artificial Analysis independent benchmarks, Small Transcribe 3 secured rank #3 globally with a 2.1% error index (outperforming ElevenLabs Scribe v2), while Realtime Transcribe delivers sub-500ms latency at $0.04/min for full voice agent turns.

Zoom

On Oct 20 Mistral released Voxtral 3: the Voxtral Small/Mini Transcribe 3 speech-to-text models, Voxtral Mini Transcribe Realtime 3, the Voxtral Mini TTS 3 (Voxtral Speech 3) text-to-speech model, and a LiveKit-based voice agent SDK that streams listening, reasoning with tool calls, and speaking as one pipeline, with each turn completing in under a second per Mistral. Transcription covers 50+ languages with diarization and context biasing; TTS covers 35+ languages and 50+ dialects, plus Pro Voice cloning from 30 minutes of audio. It is live on the Mistral API (EU, US and global endpoints) and can be self-deployed.

Zoom

Hugging Face shipped transformers v5.18.0 on 2026-09-30 (PyPI 5.18.0): NVIDIA Nemotron 3 Diarization (streaming/offline, up to 8 speakers, 80 ms–30.4 s buffers), NemotronH Omni (joint text/image/video/audio), NAVER HyperCLOVAX Vision V2 (built-in <think> CoT), and GTE bidirectional encoders (RoPE + gated MLP; gte / snowflake-arctic-embed family). Official model_doc pages are live.

Zoom