All comparisons

AssemblyAI vs OpenAI speech-to-text

AssemblyAI is ahead of OpenAI on time to first text and final-text delay. The Pipecat Dataset and The Ocular Dataset are too close to call.

Each row compares the best AssemblyAI model with the best OpenAI model on that metric, from the same tests.

Last updated Methodology by Dileep Chagam

Best of each

AssemblyAI and OpenAI, metric by metric

MetricAssemblyAIOpenAI
Pipecat Dataset WER1.77%AssemblyAI Universal 3.6 Pro2.16%GPT Realtime Whisper
Ocular Dataset WER4.23%AssemblyAI Universal 3.5 Pro3.53%GPT Realtime Whisper
Time to first text485msAssemblyAI Universal 3.6 Pro1.38sGPT Realtime Whisper
Final-text delay91msAssemblyAI Universal 3.6 Pro543msGPT Realtime Whisper
WER · Word error rate
Share of words the model got wrong: replaced, missing or added. Lower is better.
Pipecat Dataset
1,000 short public clips from Pipecat's STT benchmark dataset.
Ocular Dataset
8 recordings from 4 real phone conversations, licensed from Ocular.
TTFT · Time to first text
How long after the audio starts streaming until the first words appear.
TTFS · Final-text delay
How long after the caller stops until the full transcript arrives. A voice agent waits for this before it replies.
AssemblyAI line-up

AssemblyAI has 2 models on Converse-STT: AssemblyAI Universal 3.5 Pro and AssemblyAI Universal 3.6 Pro. Its best on accuracy is AssemblyAI Universal 3.6 Pro (1.77%). Its fastest is AssemblyAI Universal 3.6 Pro (91ms).

OpenAI line-up

OpenAI has 3 models on Converse-STT: GPT-4o Mini Transcribe, GPT-4o Transcribe and GPT Realtime Whisper. Its best on accuracy is GPT Realtime Whisper (2.16%). Its fastest is GPT Realtime Whisper (543ms).

Verdict

Which to pick

AssemblyAI is the better pick over OpenAI on every measure that separates them: time to first text (894ms sooner) and final-text delay (452ms sooner). For the Pipecat Dataset and the Ocular Dataset, the gap is inside the margin of error, so neither is ahead.

Frequently asked questions

Is AssemblyAI or OpenAI better for speech-to-text?

It is too close to call: the gap is inside the margin of error. The best AssemblyAI result is AssemblyAI Universal 3.6 Pro at 1.77%, and the best OpenAI result is GPT Realtime Whisper at 2.16%, on the Pipecat Dataset.

Which is faster, AssemblyAI or OpenAI?

AssemblyAI is faster, 452ms sooner. The best AssemblyAI result is AssemblyAI Universal 3.6 Pro at 91ms, and the best OpenAI result is GPT Realtime Whisper at 543ms, on final-text delay.

Which AssemblyAI and OpenAI models were tested?

AssemblyAI: AssemblyAI Universal 3.5 Pro, AssemblyAI Universal 3.6 Pro. OpenAI: GPT-4o Mini Transcribe, GPT-4o Transcribe, GPT Realtime Whisper. Every model ran the same tests on Converse-STT.