Soniox alternative: Avencera vs Soniox
At 100 hours a month with speaker labels, Soniox Async costs 1.4× as much as Avencera. Avencera’s speaker labels make fewer errors on all 10 recording types in pyannoteAI’s benchmark. Soniox transcribes words more accurately on the one published test that covers both, by up to 0.7 points.
At a glance
Soniox bills its async model by tokens, which works out close to Avencera’s price per hour, with speaker labels included. It covers 60+ languages and scores well on independent tests.
| Feature | Avencera | Soniox |
|---|---|---|
| Transcript, at 100 hours a month | $0.06 an hour | Async: $0.10 an hour (1.6×) |
| With speaker labels, at 100 hours a month | $0.07 an hour | Async: $0.10 an hour (1.4×) |
| Speaker labels | Included in the speaker transcript price | Async: included |
| Billing | Prepaid credit, no subscription | Async: pay as you go |
| Real-time streaming | No, recorded audio only | Yes |
| Languages | English with Parakeet v2, 25 European languages with v3 | 60+ languages |
| Longest file | 2 hours or 100 MB per request, 24 hours as a job | 300 minutes per file |
| API | OpenAI-compatible | Soniox’s own |
Price with speaker labels
| Audio a month | Avencera | Soniox Async |
|---|---|---|
| 10 hours | $0.70 | $1.00 1.4× |
| 100 hours | $7.00 | $10.00 1.4× |
| 1,000 hours | $70.00 | $100.00 1.4× |
| 10,000 hours | $700.00 | $1,000.00 1.4× |
See every provider at any volume on the pricing page.
Accuracy
Speaker labels
Avencera’s speaker labels make fewer errors than Soniox Async v5 on all 10 recording types in pyannoteAI’s benchmark. Averaged across them, the diarization error rate is 23.5% for Avencera and 36.6% for Async v5.
- Radio interviews 12 recordings, 3 or 4 speakers
Avencera by 17.5 points
Avencera community-1: 10.4%. Soniox Async v5: 27.9%.
- Clinical interviews 51 recordings, 2 or 3 speakers
Avencera by 5.0 points
Avencera community-1: 23.5%. Soniox Async v5: 28.5%.
- Courtroom 12 recordings, 3 to 9 speakers
Avencera by 24.3 points
Avencera community-1: 11.6%. Soniox Async v5: 35.9%.
- Phone calls 61 recordings, 2 speakers
Avencera by 13.1 points
Avencera community-1: 12.2%. Soniox Async v5: 25.3%.
- Task dialogues 19 recordings, 2 speakers
Avencera by 12.4 points
Avencera community-1: 10.1%. Soniox Async v5: 22.5%.
- Meetings 11 recordings, 3 to 6 speakers
Avencera by 20.0 points
Avencera community-1: 36.4%. Soniox Async v5: 56.4%.
- Restaurant conversations 12 recordings, 4 to 8 speakers
Avencera by 11.6 points
Avencera community-1: 51.0%. Soniox Async v5: 62.6%.
- Field interviews 22 recordings, 2 or 3 speakers
Avencera by 8.8 points
Avencera community-1: 18.2%. Soniox Async v5: 27.0%.
- Lab interviews 12 recordings, 2 speakers
Avencera by 8.6 points
Avencera community-1: 14.1%. Soniox Async v5: 22.7%.
- Web video 35 recordings, 1 to 7 speakers
Avencera by 9.5 points
Avencera community-1: 47.8%. Soniox Async v5: 57.3%.
Words
Soniox transcribes words more accurately on the one published test that covers both, by up to 0.7 points.
- Artificial Analysis Word error rate, measured on each provider’s own API
Async v5 by 0.7 points
Avencera Parakeet v3: 4.5%. Soniox Async v5: 3.8%.
Which to choose
Choose Soniox if
- Word accuracy matters most. Async v5 scores 3.8% on the Artificial Analysis, against 4.5% for Parakeet v3.
- You need real-time streaming. Soniox offers it; Avencera transcribes recorded audio only.
- You need more languages. Soniox lists 60+ languages.
- You need an API today. Avencera opens soon.
Choose Avencera if
- You want the lower bill. Soniox Async costs 1.4× as much at 100 hours a month with speaker labels.
- You want better speaker labels for less. In pyannoteAI’s benchmark, Avencera’s speaker labels make fewer errors than Async v5 on all 10 recording types, 23.5% against 36.6% on average.
- You want prepaid credit with no subscription, no minimum and no expiry.
- You want a fixed price per hour of audio. Soniox bills by tokens, so the cost of an hour depends on how much is said in it.
- Your audio stays yours. Avencera deletes it once the transcript is ready and never trains on it.
Switching to Avencera
Avencera serves OpenAI’s transcription API, so the official OpenAI SDKs work with a new base
URL and model name. Set speaker_labels to true for a speaker on every
segment.
from openai import OpenAI
client = OpenAI(base_url="https://api.avencera.com/v1", api_key="YOUR_AVENCERA_KEY")
with open("meeting.mp3", "rb") as audio:
transcript = client.audio.transcriptions.create(
model="avencera/parakeet-tdt-0.6b-v2",
file=audio,
extra_body={"speaker_labels": True},
)Questions
- Is Avencera cheaper than Soniox?
- Yes. Avencera transcribes from $0.06 an hour, or $0.07 with speaker labels. At 100 hours a month with speaker labels, Soniox Async costs $10.00 against $7.00 at Avencera, 1.4× as much.
- Is Avencera more accurate than Soniox?
- Avencera’s speaker labels make fewer errors than Soniox Async v5 on all 10 recording types in pyannoteAI’s benchmark. Averaged across them, the diarization error rate is 23.5% for Avencera and 36.6% for Async v5. Soniox transcribes words more accurately on the one published test that covers both, by up to 0.7 points. Async v5 scores 3.8% on the Artificial Analysis, against 4.5% for Parakeet v3.
- Is Soniox cheaper than Avencera?
- Close, but no. Soniox’s token billing comes to about the hourly price shown here for typical speech, a little above Avencera’s cheapest speaker transcript.
- How do I switch from Soniox to Avencera?
- Avencera uses OpenAI’s transcription API format, so any OpenAI SDK works. Send the same audio files you send Soniox, and map its response fields to the OpenAI-style transcript.