gpt-4o-mini-transcribe-5cc40b83·4 events·first seen Aliases: GPT-4o mini Transcribe, gpt-4o-mini-transcribe, gpt-4o-transcribe, GPT Transcribe, GPT Live Transcribe
OpenAI released two new transcription models: GPT Transcribe for accurate file transcription and final transcripts of committed Realtime API turns, and GPT Live Transcribe for low-latency streaming transcription. Both models support free-form transcription context, keyword hints, and multiple expected input languages. The release extends OpenAI's speech-to-text capabilities with a dedicated streaming path alongside a high-accuracy batch path.
OpenAI has updated the floating model slugs for gpt-4o-mini-tts and gpt-4o-mini-transcribe to point to their 2025-12-15 snapshots, with the previous March 2025 snapshots remaining accessible via versioned identifiers. Notably, OpenAI now recommends gpt-4o-mini-transcribe over gpt-4o-transcribe for best transcription results, signaling a quality improvement in the mini-tier audio model.
Mistral AI has released Voxtral, a family of two open-weight speech understanding models (Voxtral Small at 24B and Voxtral Mini at 3B) under the Apache 2.0 license. Both models support long-form audio up to 30-40 minutes, native multilingual transcription, built-in Q&A and summarization, and function-calling directly from voice, built on the Mistral Small 3.1 language model backbone. Benchmarks show Voxtral outperforms Whisper large-v3 across all tasks and is competitive with GPT-4o mini and Gemini 2.5 Flash on audio understanding, while pricing starts at $0.001/minute via API. Models are available on Hugging Face and through Mistral's API, with a transcription-optimized variant (Voxtral Mini Transcribe) also offered.
Mistral AI has released Voxtral Transcribe 2, a family of two speech-to-text models: Voxtral Mini Transcribe V2 for batch transcription and Voxtral Realtime for live applications. Voxtral Realtime features a novel streaming architecture with configurable latency down to sub-200ms, a 4B parameter footprint suitable for edge deployment, and is released as open weights under Apache 2.0. Voxtral Mini Transcribe V2 claims state-of-the-art word error rate on FLEURS at $0.003/min, outperforming GPT-4o mini Transcribe, Gemini 2.5 Flash, AssemblyAI, and Deepgram Nova on accuracy benchmarks. Both models support 13 languages with speaker diarization, word-level timestamps, and context biasing.