Gradium vs Reson8
Gradium is ahead on time to first text and final-text delay, and Reson8 on the Pipecat Dataset. The Ocular Dataset is 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
Pick Gradium for showing words while the caller is still talking (695ms sooner) and quick turn-taking once the caller stops (23ms sooner). Pick Reson8 for accuracy on clean, scripted audio (4.38 points lower). For accuracy on real phone conversations, the gap is inside the margin of error, so neither is ahead.
The four metrics, side by side
- Gradium
- 6.48%17th
- Reson8
- 2.10%4th
Reson8, 4.38 points lower
- Gradium
- 4.45%12th
- Reson8
- 2.93%1st
Too close to call: inside the margin of error
- Gradium
- 1.71s12th
- Reson8
- 2.40s13th
Gradium, 695ms sooner
- Gradium
- 212ms11th
- Reson8
- 235ms12th
Gradium, 23ms 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
Gradium shows first text after 7.32s and final text after 280ms, and Reson8 shows first text after 10.20s and final text after 398ms, on a bad turn (P95) across the same streamed turns.
| Measure | Model | P50 | P90 | P95 |
|---|---|---|---|---|
| Time to first text | Gradium | 1.71s | 4.05s | 7.32s |
| Reson8 | 2.40s | 7.97s | 10.20s | |
| Final-text delay | Gradium | 212ms | 266ms | 280ms |
| Reson8 | 235ms | 357ms | 398ms |
- 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 | Gradium | Reson8 |
|---|---|---|
| Pipecat Dataset WER | 6.48%17th of 17 | 2.10%4th of 17 |
| Ocular Dataset WER | 4.45%12th of 17 | 2.93%1st of 17 |
| Time to first text | 1.71s12th of 15 | 2.40s13th of 15 |
| Final-text delay | 212ms11th of 17 | 235ms12th of 17 |
How much audio each model was tested on
Only clips with usable text count, so the two totals can differ. How WER is scored.
Related comparisons
- Gradium vs Deepgram Flux Multilingual
- Gradium vs Deepgram Flux English
- Gradium vs GPT-4o Transcribe
- Gradium vs Smallest Pulse
- Gradium vs Deepgram Nova-3
- Gradium vs GPT-4o Mini Transcribe
- Gradium vs Inworld STT-1
- Gradium vs Soniox STT-RT v5
- Gradium vs Speechmatics Linden
- Gradium vs Cartesia Ink 2
- Gradium vs GPT Realtime Whisper
- Gradium vs Google Chirp 3
- Gradium vs AssemblyAI Universal 3.6 Pro
- 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 Soniox STT-RT v5
- 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
Frequently asked questions
Which is more accurate, Gradium or Reson8?
Reson8 is more accurate on the public clips. On the 1,000 public Pipecat clips, Gradium scores 6.48% and Reson8 2.10%, so Reson8 makes fewer errors by 4.38 points. On the eight licensed Ocular recordings, Gradium scores 4.45% and Reson8 2.93%, with likely ranges of 3.17 to 5.90% and 2.29 to 3.68%. 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 Gradium faster than Reson8?
Yes. Gradium finishes the transcript 23ms sooner. Gradium has the final transcript 212ms after the speaker stops and Reson8 235ms, at the median. Both are measured on the same 206 streamed turns.
Is Gradium or Reson8 better for voice agents?
Gradium finishes the transcript 23ms 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 Gradium and Reson8 stream text while the speaker is talking?
Yes, both return partial text before the speaker stops. Gradium shows first text after 1.71s and Reson8 after 2.40s, at the median, so Gradium is 695ms sooner.