Comparison
Compare streaming speech-to-text: PyAI Hear vs Deepgram
PyAI Hear offers eight-language streaming on an OpenAI-compatible API, with a first partial measured around 200 ms in-region. Deepgram publishes faster interim latency and supports more languages.
Price per 1,000 minutes (USD)
Lower is better. PyAI in teal.
PyAI from our rate card. Competitor list prices: Artificial Analysis, as of June 2026; realtime/streaming tiers can differ from prerecorded - verify before relying.
Deepgram publishes faster first partials.
Lower is better. PyAI in teal. Bands show each provider’s published range.
Hear’s first partial measured about 200 ms in-region and is revisable.stable_text follows. Deepgram publishes a faster 150-300 ms interim band. First-partial latency is separate from batch throughput, which Hear runs at 92-247x real-time.
Turn-taking beats raw price.
On a phone call, the win is replying the instant the caller stops - not shaving a fraction of a cent. Start with Hear for transcription (~200 ms first partial, in-region), then go end-to-end with Omni (~390 ms voice-to-voice, in-region).
We don’t grade ourselves.
For an independent streaming accuracy and latency leaderboard across providers, see Artificial Analysis.
Streaming ASR leaderboardRealtime transcription that keeps up.
Start free with $50 in free credits - stream partials from one OpenAI-compatible socket.