Speechmatics alternative: Avencera vs Speechmatics

At 100 hours a month with speaker labels, Speechmatics Melia 1 costs 3.4× as much as Avencera. Avencera’s speaker labels make fewer errors on all 10 recording types in pyannoteAI’s benchmark. Speechmatics transcribes words more accurately on 2 of 3 published tests, by up to 2.39 points; Avencera wins one.

At a glance

Speechmatics sells several model tiers. Melia 1 is its lower-priced pre-recorded model and Enhanced its most accurate. Speaker labels are included on batch jobs, and it covers 55+ languages.

FeatureAvenceraSpeechmatics
Transcript, at 100 hours a month$0.06 an hourMelia 1: $0.24 an hour (4.0×)Enhanced: $0.75 an hour (12×)
With speaker labels, at 100 hours a month$0.07 an hourMelia 1: $0.24 an hour (3.4×)Enhanced: $0.75 an hour (10×)
Speaker labelsIncluded in the speaker transcript priceMelia 1: includedEnhanced: included
BillingPrepaid credit, no subscriptionMelia 1: pay as you goEnhanced: pay as you go
Real-time streamingNo, recorded audio onlyYes
LanguagesEnglish with Parakeet v2, 25 European languages with v355+ languages
Longest file2 hours or 100 MB per request, 24 hours as a jobUnder 1 GB per upload
Self-hostingOpen models you can run yourselfContainers, appliances and on-device on Enterprise plans
APIOpenAI-compatibleSpeechmatics’s own

Price with speaker labels

Audio a monthAvenceraSpeechmatics Melia 1Speechmatics Enhanced
10 hours$0.70$2.40 3.4×$7.50 10×
100 hours$7.00$24.00 3.4×$75.00 10×
1,000 hours$70.00$240.00 3.4×$750.00 10×
10,000 hours$700.00$2,400.00 3.4×$7,500.00 10×

See every provider at any volume on the pricing page.

Accuracy

Speaker labels

Avencera’s speaker labels make fewer errors than Speechmatics Enhanced on all 10 recording types in pyannoteAI’s benchmark. Averaged across them, the diarization error rate is 23.5% for Avencera and 32.1% for Enhanced.

Diarization error rate by recording type, lower is better
  1. Radio interviews 12 recordings, 3 or 4 speakers

    Avencera by 6.3 points

    Avencera community-1: 10.4%. Speechmatics Enhanced: 16.7%.

  2. Clinical interviews 51 recordings, 2 or 3 speakers

    Avencera by 2.0 points

    Avencera community-1: 23.5%. Speechmatics Enhanced: 25.5%.

  3. Courtroom 12 recordings, 3 to 9 speakers

    Avencera by 3.9 points

    Avencera community-1: 11.6%. Speechmatics Enhanced: 15.5%.

  4. Phone calls 61 recordings, 2 speakers

    Avencera by 7.9 points

    Avencera community-1: 12.2%. Speechmatics Enhanced: 20.1%.

  5. Task dialogues 19 recordings, 2 speakers

    Avencera by 11.4 points

    Avencera community-1: 10.1%. Speechmatics Enhanced: 21.5%.

  6. Meetings 11 recordings, 3 to 6 speakers

    Avencera by 18.9 points

    Avencera community-1: 36.4%. Speechmatics Enhanced: 55.3%.

  7. Restaurant conversations 12 recordings, 4 to 8 speakers

    Avencera by 12.5 points

    Avencera community-1: 51.0%. Speechmatics Enhanced: 63.5%.

  8. Field interviews 22 recordings, 2 or 3 speakers

    Avencera by 10.0 points

    Avencera community-1: 18.2%. Speechmatics Enhanced: 28.2%.

  9. Lab interviews 12 recordings, 2 speakers

    Avencera by 5.0 points

    Avencera community-1: 14.1%. Speechmatics Enhanced: 19.1%.

  10. Web video 35 recordings, 1 to 7 speakers

    Avencera by 8.0 points

    Avencera community-1: 47.8%. Speechmatics Enhanced: 55.8%.

Words

Speechmatics transcribes words more accurately on 2 of 3 published tests, by up to 2.39 points; Avencera wins one.

Word error rate by benchmark, lower is better
  1. Open ASR Leaderboard, long-form Average word error rate on long English recordings

    Enhanced by 2.39 points

    Avencera Parakeet v3: 13.37%. Speechmatics Enhanced: 10.98%.

  2. Artificial Analysis Word error rate, measured on each provider’s own API

    Avencera by 0.4 points

    Avencera Parakeet v3: 4.5%. Speechmatics Melia: 4.9%.

  3. Artificial Analysis Word error rate, measured on each provider’s own API

    Enhanced by 0.5 points

    Avencera Parakeet v3: 4.5%. Speechmatics Enhanced: 4.0%.

Which to choose

Choose Speechmatics if

  • Word accuracy matters most. Enhanced scores 10.98% on the Open ASR Leaderboard, long-form, against 13.37% for Parakeet v3; Enhanced scores 4.0% on the Artificial Analysis, against 4.5% for Parakeet v3.
  • You need real-time streaming. Speechmatics offers it; Avencera transcribes recorded audio only.
  • You need more languages. Speechmatics lists 55+ languages.
  • You want to start free. Speechmatics gives $100 of free credit with no card required.
  • You need an API today. Avencera opens soon.

Choose Avencera if

  • You want the lower bill. Speechmatics Melia 1 costs 3.4× 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 Enhanced on all 10 recording types, 23.5% against 32.1% on average.
  • You want word accuracy for less. Melia scores 4.9% on the Artificial Analysis, against 4.5% for Parakeet v3.
  • You want prepaid credit with no subscription, no minimum and no expiry.
  • 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 Speechmatics?
Yes. Avencera transcribes from $0.06 an hour, or $0.07 with speaker labels. At 100 hours a month with speaker labels, Speechmatics Melia 1 costs $24.00 against $7.00 at Avencera, 3.4× as much.
Is Avencera more accurate than Speechmatics?
Avencera’s speaker labels make fewer errors than Speechmatics Enhanced on all 10 recording types in pyannoteAI’s benchmark. Averaged across them, the diarization error rate is 23.5% for Avencera and 32.1% for Enhanced. Speechmatics transcribes words more accurately on 2 of 3 published tests, by up to 2.39 points; Avencera wins one. Enhanced scores 10.98% on the Open ASR Leaderboard, long-form, against 13.37% for Parakeet v3. Melia scores 4.9% on the Artificial Analysis, against 4.5% for Parakeet v3. Enhanced scores 4.0% on the Artificial Analysis, against 4.5% for Parakeet v3.
Which Speechmatics model does this compare?
Prices use Melia 1, its lower-priced pre-recorded model. The accuracy table shows both Melia and Enhanced, so you can see where each one stands.
How do I switch from Speechmatics to Avencera?
Avencera uses OpenAI’s transcription API format, so any OpenAI SDK works. Send the same audio files you send Speechmatics, and map its response fields to the OpenAI-style transcript.

Sources

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

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.

Accuracy: Lower is better, and results within 0.1 points count as level. pyannoteAI ran its diarization benchmark itself, without telling any system how many speakers to expect. Avencera’s speaker labels run community-1 through speakrs, which matches pyannote’s published error rates. Averages weight each recording type equally. The Open ASR Leaderboard tests the open Parakeet weights that Avencera runs. Artificial Analysis tests Parakeet v3 as hosted by Together AI.

Vendor prices and features from each vendor’s own pages, checked October 23, 2026. Benchmark results as of October 21, 2026 for the Hugging Face Open ASR Leaderboard, October 23, 2026 for the Artificial Analysis speech-to-text and October 22, 2026 for the pyannoteAI diarization benchmark.