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# Deepgram vs OpenAI vs Google STT: Accuracy, Latency, & Price Compared

**[Deepgram](https://daily.dev/sources/deepgram)** · 23 min read · 1 upvotes · 0 comments

## Summary

Comprehensive comparison of Deepgram, OpenAI, and Google speech-to-text APIs across accuracy, latency, and pricing metrics. Deepgram leads in speed and cost-effectiveness ($4.30 per 1000 minutes), OpenAI's GPT-4o Transcribe shows strong accuracy performance, while Google's Chirp 2 is the most expensive option. The analysis covers Word Error Rate measurements, batch vs streaming processing trade-offs, and emphasizes the importance of testing with domain-specific audio data rather than relying solely on general benchmarks.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://deepgram.com/learn/deepgram-vs-openai-vs-google-stt-accuracy-latency-price-compared>

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---

Tags: [#machine-learning](https://daily.dev/tags/machine-learning), [#openai](https://daily.dev/tags/openai)

[View this post on daily.dev](https://daily.dev/posts/deepgram-vs-openai-vs-google-stt-accuracy-latency-price-compared-6n2uhroii)

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