OpenAI alternative: Avencera vs OpenAI

At 100 hours a month with speaker labels, OpenAI gpt-4o-transcribe-diarize costs 5.1× as much as Avencera. OpenAI transcribes words more accurately on 2 of 4 published tests, by up to 1.2 points; Avencera wins one, and one is level.

At a glance

OpenAI’s transcription API is the format many apps already speak. gpt-transcribe returns plain transcripts; speaker labels need the separate gpt-4o-transcribe-diarize model, which OpenAI has deprecated and will shut down on February 26, 2027.

FeatureAvenceraOpenAI
Transcript, at 100 hours a month$0.06 an hourgpt-transcribe: $0.27 an hour (4.5×)gpt-4o-transcribe-diarize: $0.36 an hour (6.0×)
With speaker labels, at 100 hours a month$0.07 an hourgpt-4o-transcribe-diarize: $0.36 an hour (5.1×)
Speaker labelsIncluded in the speaker transcript pricegpt-transcribe: not offeredgpt-4o-transcribe-diarize: included
BillingPrepaid credit, no subscriptiongpt-transcribe: pay as you gogpt-4o-transcribe-diarize: pay as you go
Real-time streamingNo, recorded audio onlyYes
Longest file2 hours or 100 MB per request, 24 hours as a job25 MB per file
APIOpenAI-compatibleOpenAI’s own

Price with speaker labels

Audio a monthAvenceraOpenAI gpt-4o-transcribe-diarize
10 hours$0.70$3.60 5.1×
100 hours$7.00$36.00 5.1×
1,000 hours$70.00$360.00 5.1×
10,000 hours$700.00$3,600.00 5.1×

See every provider at any volume on the pricing page.

Accuracy

Words

OpenAI transcribes words more accurately on 2 of 4 published tests, by up to 1.2 points; Avencera wins one, and one is level.

Word error rate by benchmark, lower is better
  1. Open ASR Leaderboard, English Average word error rate over 11 English test sets

    Level

    Avencera Parakeet v2: 6.02%. OpenAI gpt-transcribe: 5.96%.

  2. Open ASR Leaderboard, earnings calls Word error rate on the Earnings-22 set

    Avencera by 0.76 points

    Avencera Parakeet v3: 5.85%. OpenAI gpt-transcribe: 6.61%.

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

    gpt-transcribe by 1.2 points

    Avencera Parakeet v3: 4.5%. OpenAI gpt-transcribe: 3.3%.

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

    gpt-4o-transcribe by 0.5 points

    Avencera Parakeet v3: 4.5%. OpenAI gpt-4o-transcribe: 4.0%.

Which to choose

Choose OpenAI if

  • Word accuracy matters most. gpt-transcribe scores 3.3% on the Artificial Analysis, against 4.5% for Parakeet v3; gpt-4o-transcribe scores 4.0% on the Artificial Analysis, against 4.5% for Parakeet v3.
  • You need real-time streaming. OpenAI offers it; Avencera transcribes recorded audio only.
  • You already use other OpenAI models and want one bill and one vendor.
  • You need an API today. Avencera opens soon.

Choose Avencera if

  • You want the lower bill. OpenAI gpt-4o-transcribe-diarize costs 5.1× as much at 100 hours a month with speaker labels.
  • You want word accuracy for less. gpt-transcribe scores 6.61% on the Open ASR Leaderboard, earnings calls, against 5.85% for Parakeet v3.
  • You want prepaid credit with no subscription, no minimum and no expiry.
  • You already call OpenAI’s transcription API. Avencera accepts the same requests, so switching is a change of base URL and model name.
  • You need speaker labels after February 2027, when OpenAI shuts down gpt-4o-transcribe-diarize.
  • Your files are bigger than 25 MB. OpenAI rejects them; Avencera takes files up to 100 MB through the same API, and recordings up to 24 hours as a job.
  • 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 OpenAI?
Yes. Avencera transcribes from $0.06 an hour, or $0.07 with speaker labels. At 100 hours a month with speaker labels, OpenAI gpt-4o-transcribe-diarize costs $36.00 against $7.00 at Avencera, 5.1× as much.
Is Avencera more accurate than OpenAI?
OpenAI transcribes words more accurately on 2 of 4 published tests, by up to 1.2 points; Avencera wins one, and one is level. gpt-transcribe scores 5.96% on the Open ASR Leaderboard, English, against 6.02% for Parakeet v2. gpt-transcribe scores 6.61% on the Open ASR Leaderboard, earnings calls, against 5.85% for Parakeet v3. gpt-transcribe scores 3.3% on the Artificial Analysis, against 4.5% for Parakeet v3. gpt-4o-transcribe scores 4.0% on the Artificial Analysis, against 4.5% for Parakeet v3.
Is Avencera compatible with the OpenAI SDK?
Yes. Avencera serves the same /v1/audio/transcriptions endpoint, so the official OpenAI SDKs work once you point their base URL at Avencera and pick an Avencera model.
How do I switch from OpenAI to Avencera?
Point your OpenAI SDK’s base URL at Avencera, use your Avencera API key, and change the model name. The request and response stay the same.

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. 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.