Google Chirp 2 vs GPT Realtime Whisper
Accuracy and speed
Left gets fewer words wrong. Lower has the final text ready sooner.
- Chirp 22.59% · 568ms
- Realtime Whisper2.16% · 543ms
GPT Realtime Whisper is ahead of Google Chirp 2 on both datasets together, time to first text and final-text delay. The Pipecat Dataset and The Ocular Dataset are too close to call. Google Chirp 2 has a newer release: Google Chirp 3 vs GPT Realtime Whisper.
Last updated Methodology by Dileep Chagam
Who is better at what
- Overall WER3.01%2.63%
- Pipecat Dataset WER2.59%2.16%
- Ocular Dataset WER3.80%3.53%
- Time to first text4.50s1.38s
- Final-text delay568ms543ms
Lower is better on every measure. Too close to call means the likely ranges overlap.
Chirp 2 vs Realtime Whisper FAQ
Which is more accurate, Google Chirp 2 or GPT Realtime Whisper?
GPT Realtime Whisper is more accurate on the public clips. On the 1,000 public Pipecat clips, Google Chirp 2 scores 3.01% and GPT Realtime Whisper 2.63%, so GPT Realtime Whisper makes fewer errors by 0.38 points. On the eight licensed Ocular recordings, Google Chirp 2 scores 2.59% and GPT Realtime Whisper 2.16%, with likely ranges of 2.31 to 2.89% and 1.92 to 2.41%. The ranges overlap, so the difference is too close to call. Word error rate counts incorrect, missing, and extra words, so lower is better.
GPT Realtime Whisper is more accurate on the public clips. On the 1,000 public Pipecat clips, Google Chirp 2 scores 3.01% and GPT Realtime Whisper 2.63%, so GPT Realtime Whisper makes fewer errors by 0.38 points. On the eight licensed Ocular recordings, Google Chirp 2 scores 2.59% and GPT Realtime Whisper 2.16%, with likely ranges of 2.31 to 2.89% and 1.92 to 2.41%. The ranges overlap, so the difference is too close to call. Word error rate counts incorrect, missing, and extra words, so lower is better.
No. GPT Realtime Whisper finishes the transcript 3.12s sooner. Google Chirp 2 has the final transcript 4.50s after the speaker stops and GPT Realtime Whisper 1.38s, at the median. Both are measured on the same 206 streamed turns.
GPT Realtime Whisper finishes the transcript 3.12s sooner, and the two are too close to call on real conversations. A voice agent cannot reply until the final transcript arrives, and the Ocular recordings are real conversations.
Yes, both return partial text before the speaker stops. Google Chirp 2 shows first text after 3.80% and GPT Realtime Whisper after 3.53%, at the median.
Test your voice agent the same way.
Cekura runs these simulated calls on your agent and scores every one.