Reson8 vs Soniox STT-RT v5
Soniox STT-RT v5 is ahead of Reson8 on time to first text and final-text delay. The Pipecat Dataset and The Ocular Dataset are too close to call.
Last updated Methodology by Dileep Chagam
Accuracy vs speed
Each dot is one model. Bottom-left is best: fewer errors and a faster final transcript.
Which to pick
Soniox STT-RT v5 is the better pick over Reson8 on every measure that separates them: showing words while the caller is still talking (1.21s sooner) and quick turn-taking once the caller stops (197ms sooner). For accuracy on clean, scripted audio and accuracy on real phone conversations, the gap is inside the margin of error, so neither is ahead.
The four metrics, side by side
- Reson8
- 2.10%4th
- Soniox STT-RT v5
- 2.54%8th
Too close to call: inside the margin of error
- Reson8
- 2.93%1st
- Soniox STT-RT v5
- 3.92%6th
Too close to call: inside the margin of error
- Reson8
- 2.40s13th
- Soniox STT-RT v5
- 1.20s9th
Soniox STT-RT v5, 1.21s sooner
- Reson8
- 235ms12th
- Soniox STT-RT v5
- 38ms1st
Soniox STT-RT v5, 197ms sooner
Lower is better on every metric. The small figure is each model's place in the whole field. What each metric measures.
- 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.
First text and final text, at three percentiles
Reson8 shows first text after 10.20s and final text after 398ms, and Soniox STT-RT v5 shows first text after 1.71s and final text after 79ms, on a bad turn (P95) across the same streamed turns.
| Measure | Model | P50 | P90 | P95 |
|---|---|---|---|---|
| Time to first text | Reson8 | 2.40s | 7.97s | 10.20s |
| Soniox STT-RT v5 | 1.20s | 1.67s | 1.71s | |
| Final-text delay | Reson8 | 235ms | 357ms | 398ms |
| Soniox STT-RT v5 | 38ms | 72ms | 79ms |
- P50 / P90 / P95 · Typical, slow and slowest turns
- Half of turns are faster than P50. Only 1 in 10 is slower than P90, and 1 in 20 slower than P95.
How each ranks among all 17 models
Place among the 17 models on each metric. Lower is better on all four.
| Metric | Reson8 | STT-RT v5 |
|---|---|---|
| Pipecat Dataset WER | 2.10%4th of 17 | 2.54%8th of 17 |
| Ocular Dataset WER | 2.93%1st of 17 | 3.92%6th of 17 |
| Time to first text | 2.40s13th of 15 | 1.20s9th of 15 |
| Final-text delay | 235ms12th of 17 | 38ms1st of 17 |
How much audio each model was tested on
| Model | Pipecat clips | Ocular recordings | Turns timed | Failed |
|---|---|---|---|---|
| Reson8 | 1,000 | 8 | 201 | 0 |
| Soniox STT-RT v5 | 1,000 | 8 | 200 | 6 |
Only clips with usable text count, so the two totals can differ. How WER is scored.
Related comparisons
- Reson8 vs GPT Realtime Whisper
- Reson8 vs Google Chirp 3
- Reson8 vs Cartesia Ink 2
- Reson8 vs AssemblyAI Universal 3.6 Pro
- Reson8 vs Speechmatics Linden
- Reson8 vs Inworld STT-1
- Reson8 vs GPT-4o Mini Transcribe
- Reson8 vs Deepgram Nova-3
- Reson8 vs Smallest Pulse
- Reson8 vs GPT-4o Transcribe
- Reson8 vs Deepgram Flux English
- Reson8 vs Deepgram Flux Multilingual
- Reson8 vs Gradium
- Soniox STT-RT v5 vs Speechmatics Linden
- Soniox STT-RT v5 vs Cartesia Ink 2
- Soniox STT-RT v5 vs Inworld STT-1
- Soniox STT-RT v5 vs GPT Realtime Whisper
- Soniox STT-RT v5 vs Google Chirp 3
- Soniox STT-RT v5 vs AssemblyAI Universal 3.6 Pro
- Soniox STT-RT v5 vs GPT-4o Mini Transcribe
- Soniox STT-RT v5 vs Deepgram Nova-3
- Soniox STT-RT v5 vs Smallest Pulse
- Soniox STT-RT v5 vs GPT-4o Transcribe
- Soniox STT-RT v5 vs Deepgram Flux English
- Soniox STT-RT v5 vs Deepgram Flux Multilingual
- Soniox STT-RT v5 vs Gradium
Frequently asked questions
Which is more accurate, Reson8 or Soniox STT-RT v5?
Reson8 and Soniox STT-RT v5 are too close to call on accuracy. On the 1,000 public Pipecat clips, Reson8 scores 2.10% and Soniox STT-RT v5 2.54%, with likely ranges of 1.86 to 2.35% and 2.27 to 2.83%. The ranges overlap, so the difference is too close to call. On the eight licensed Ocular recordings, Reson8 scores 2.93% and Soniox STT-RT v5 3.92%, with likely ranges of 2.29 to 3.68% and 2.60 to 4.86%. The ranges overlap, so the difference is too close to call. Word error rate counts incorrect, missing, and extra words, so lower is better.
Is Reson8 faster than Soniox STT-RT v5?
No. Soniox STT-RT v5 finishes the transcript 197ms sooner. Reson8 has the final transcript 235ms after the speaker stops and Soniox STT-RT v5 38ms, at the median. Both are measured on the same 206 streamed turns.
Is Reson8 or Soniox STT-RT v5 better for voice agents?
Soniox STT-RT v5 finishes the transcript 197ms 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.
Do Reson8 and Soniox STT-RT v5 stream text while the speaker is talking?
Yes, both return partial text before the speaker stops. Reson8 shows first text after 2.40s and Soniox STT-RT v5 after 1.20s, at the median, so Soniox STT-RT v5 is 1.21s sooner.