Soniox alternative: Avencera vs Soniox

At 100 hours a month with speaker labels, Soniox Async costs 1.2× as much as Avencera. Soniox is more accurate on the one published result that covers both, so the choice comes down to price against accuracy.

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.

FeatureAvenceraSoniox
Transcript, at 100 hours a month$0.06 an hourAsync: $0.098 an hour (1.6×)
With speaker labels, at 100 hours a month$0.08 an hourAsync: $0.098 an hour (1.2×)
Speaker labelsIncluded in the speaker transcript priceAsync: included
BillingPrepaid credit, no subscriptionAsync: pay as you go
Real-time streamingNo, recorded audio onlyYes
LanguagesEnglish with Parakeet v2, 25 European languages with v360+ languages
Longest file24 hours of audio per request300 minutes per file
APIOpenAI-compatibleSoniox’s own

Multiples in brackets compare with Avencera’s cheapest offer at the same volume.

Price with speaker labels

Audio a monthAvenceraSoniox Async
10 hours$0.80$0.98 1.2×
100 hours$8.00$9.75 1.2×
1,000 hours$80.00$97.50 1.2×
10,000 hours$800.00$975.00 1.2×

Monthly list prices for recorded audio with speaker labels, before free credit, discounts or contracts. Each plan uses whichever of its options costs least at that volume. See every provider at any volume on the pricing page.

Accuracy

Soniox is more accurate on the one published result that covers both, so the choice comes down to price against accuracy.

BenchmarkAvenceraSonioxLower error
Artificial Analysis Word error rate, measured on each provider’s own API4.5% Parakeet v33.8% Async v5Soniox

Lower is better, and results within 0.1 points count as level. Artificial Analysis tests Parakeet v3 as hosted by Together AI. These results don’t test the Avencera API itself, which opens soon.

Which to choose

Choose Soniox if

  • 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 1.2× as much at 100 hours a month with speaker labels.
  • 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.

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/speaker-transcript-v2",
        file=audio,
    )

Questions

Is Avencera cheaper than Soniox?
Yes. Avencera transcribes from $0.06 an hour, or $0.08 with speaker labels. At 100 hours a month with speaker labels, Soniox Async costs $9.75 against $8.00 at Avencera, 1.2× as much.
Is Avencera more accurate than Soniox?
Soniox is more accurate on the one published result that covers both, so the choice comes down to price against accuracy. 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.

Sources

Vendor prices and features from each vendor’s own pages, checked October 23, 2026. Benchmark results as of October 23, 2026 for the Artificial Analysis speech-to-text.