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The Decoder · 2026/7/29 12:45:33

GPT Transcribe improves on its predecessor but can't catch ElevenLabs, Google, or Mistral on error rates
AI 中文解读
OpenAI最新推出的GPT Transcribe和GPT Live Transcribe语音识别模型,性能虽有提升,但在准确率上依然没能超越ElevenLabs、谷歌和Mistral等对手。简单来说,GPT Transcribe可以将录制好的音频文件以比实时快34倍的速度转成文字,价格也比上一代便宜了25%,每分钟只要0.45美分。它在测试中单词错误率为3.31%,比一年前的版本进步了0.7个百分点。不过,目前行业领头羊是ElevenLabs,错误率仅2.3%,谷歌和Mistral也分别做到了2.9%和3%。这意味着如果你用语音转文字来写会议纪要、做字幕或辅助学习,OpenAI的方案虽然更快更便宜了,但要想获得最准确的文字结果,其他几家可能更靠谱。而且Mistral已经把价格压到每分钟0.3美分,对开发者来说,选择越来越多了。
GPT Transcribe improves on its predecessor but can't catch ElevenLabs, Google, or Mistral on error rates
Jonathan Kemper
View the LinkedIn Profile of Jonathan Kemper
Jul 29, 2026
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.Ad
Full details are in OpenAI's Transcription Guide. The new transcription models complement OpenAI's recently announced Realtime model generation, which also includes the real-time transcription model GPT-Realtime-Whisper.AdDEC_D_Incontent-1
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Source: OpenAI
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