# GPT Transcribe improves on its predecessor but can't catch ElevenLabs, Google, or Mistral on error rates

> Source: <https://the-decoder.com/gpt-transcribe-improves-on-its-predecessor-but-cant-catch-elevenlabs-google-or-mistral-on-error-rates/>
> Published: 2026-07-29 12:45:33+00:00

# GPT Transcribe improves on its predecessor but can't catch ElevenLabs, Google, or Mistral on error rates

**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](https://the-decoder.com/openai-releases-new-ai-voice-models-with-customizable-speaking-styles/). 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](https://artificialanalysis.ai/speech-to-text/non-streaming), OpenAI still sits behind several competitors. [ElevenLabs Scribe v2](https://the-decoder.com/elevenlabs-and-google-dominate-artificial-analysis-updated-speech-to-text-benchmark/) leads with a 2.3 percent error rate, followed by [Google's Gemini 3 Pro](https://the-decoder.com/analysts-say-google-now-leads-the-ai-performance-race-with-gemini-3-pro/) at 2.9 percent and [Mistral's Voxtral Small](https://the-decoder.com/mistral-unveils-voxtral-an-open-source-speech-model-with-lower-costs-than-proprietary-rivals/) at 3 percent. Mistral recently undercut the market with [Voxtral Transcribe V2](https://the-decoder.com/voxtral-transcribe-2-offers-speech-recognition-at-0-003-per-minute/), starting at just $0.003 per minute.

Full details are in OpenAI's [Transcription Guide](https://developers.openai.com/api/docs/guides/transcription). The new transcription models complement OpenAI's recently announced [Realtime model generation](https://the-decoder.com/openais-new-voice-model-brings-gpt-5-level-reasoning-to-real-time-conversations/), which also includes the real-time transcription model GPT-Realtime-Whisper.

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[OpenAI](https://developers.openai.com/api/docs/changelog)
