OpenAI 推出 GPT Transcribe 与 GPT Live Transcribe 语音识别模型
GPT Transcribe improves on its predecessor but can't catch ElevenLabs, Google, or Mistral on error rates
OpenAI 通过 API 推出 GPT Transcribe 和 GPT Live Transcribe 两款语音识别模型。GPT Transcribe 处理预录音频速度约为实时的 34 倍，词错误率为 3.31%，定价降至每分钟 $0.0045。
OpenAI has released GPT Transcribe and GPT Live Transcribe, two new speech recognition models available through its API. GPT Transcribe handles pre-recorded audio files, processing them about 34 times faster than real time. GPT Live Transcribe is built for real-time streaming with low latency.
According to Artificial Analysis, which runs the AA-WER benchmark, GPT Transcribe hits a word error rate of 3.31 percent. That's a 0.7 percentage point improvement over its year-old predecessor GPT-4o Transcribe. Pricing drops 25 percent at the same time, landing at $0.0045 per minute of audio. Both models accept text as transcription context, keywords, and multiple input languages.
In the AA-WER ranking, OpenAI still sits behind several competitors. ElevenLabs Scribe v2 leads with a 2.3 percent error rate, followed by Google's Gemini 3 Pro at 2.9 percent and Mistral's Voxtral Small at 3 percent. Mistral recently undercut the market with Voxtral Transcribe V2, starting at just $0.003 per minute.
Full details are in OpenAI's . The new transcription models complement OpenAI's recently announced Realtime model generation, which also includes the real-time transcription model GPT-Realtime-Whisper.
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来源：The Decoder：AI News · the-decoder.com