AssemblyAI alternative: Avencera vs AssemblyAI
At 100 hours a month with speaker labels, AssemblyAI Universal-2 costs 2.1× as much as Avencera. Across 4 published results, Avencera is ahead on 1 and behind on 3.
At a glance
AssemblyAI sells two families of pre-recorded models: Universal-2, which covers 99 languages, and the more accurate Universal-3.5 Pro, which covers 18. Speaker labels are a paid add-on to either.
| Feature | Avencera | AssemblyAI |
|---|---|---|
| Transcript, at 100 hours a month | $0.06 an hour | Universal-2: $0.15 an hour (2.5×)Universal-3.5 Pro: $0.21 an hour (3.5×) |
| With speaker labels, at 100 hours a month | $0.08 an hour | Universal-2: $0.17 an hour (2.1×)Universal-3.5 Pro: $0.23 an hour (2.8×) |
| Speaker labels | Included in the speaker transcript price | Universal-2: $0.02 an hour extraUniversal-3.5 Pro: $0.02 an hour extra |
| Billing | Prepaid credit, no subscription | Universal-2: pay as you goUniversal-3.5 Pro: pay as you go |
| Real-time streaming | No, recorded audio only | Yes |
| Languages | English with Parakeet v2, 25 European languages with v3 | 99 languages with Universal-2, 18 with Universal-3.5 Pro |
| Longest file | 24 hours of audio per request | 10 hours per file |
| Self-hosting | Open models you can run yourself | Self-hosted deployments |
| API | OpenAI-compatible | AssemblyAI’s own |
Multiples in brackets compare with Avencera’s cheapest offer at the same volume.
Price with speaker labels
| Audio a month | Avencera | AssemblyAI Universal-2 | AssemblyAI Universal-3.5 Pro |
|---|---|---|---|
| 10 hours | $0.80 | $1.70 2.1× | $2.30 2.8× |
| 100 hours | $8.00 | $17.00 2.1× | $23.00 2.8× |
| 1,000 hours | $80.00 | $170.00 2.1× | $230.00 2.8× |
| 10,000 hours | $800.00 | $1,700.00 2.1× | $2,300.00 2.8× |
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
Across 4 published results, Avencera is ahead on 1 and behind on 3.
| Benchmark | Avencera | AssemblyAI | Lower error |
|---|---|---|---|
| Open ASR Leaderboard, English Average word error rate over 11 English test sets | 6.02% Parakeet v2 | 5.39% Universal-3.5 Pro | AssemblyAI |
| Open ASR Leaderboard, earnings calls Word error rate on the Earnings-22 set | 5.85% Parakeet v3 | 6.05% Universal-3.5 Pro | Avencera |
| Open ASR Leaderboard, long-form Average word error rate on long English recordings | 13.37% Parakeet v3 | 10.35% Universal-3 Pro | AssemblyAI |
| Artificial Analysis Word error rate, measured on each provider’s own API | 4.5% Parakeet v3 | 3.0% Universal-3.5 Pro | AssemblyAI |
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. These results don’t test the Avencera API itself, which opens soon.
Which to choose
Choose AssemblyAI if
- Accuracy matters most. Universal-3.5 Pro scores 5.39% on the Open ASR Leaderboard, English, against 6.02% for Parakeet v2; Universal-3 Pro scores 10.35% on the Open ASR Leaderboard, long-form, against 13.37% for Parakeet v3; Universal-3.5 Pro scores 3.0% on the Artificial Analysis, against 4.5% for Parakeet v3.
- You need real-time streaming. AssemblyAI offers it; Avencera transcribes recorded audio only.
- You need more languages. AssemblyAI lists 99 languages with Universal-2, 18 with Universal-3.5 Pro.
- You want to start free. AssemblyAI gives $50 of free credit at sign-up.
- You need an API today. Avencera opens soon.
Choose Avencera if
- You want the lower bill. AssemblyAI Universal-2 costs 2.1× as much at 100 hours a month with speaker labels.
- You want accuracy for less. Universal-3.5 Pro scores 6.05% 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 want speaker labels in the headline price. AssemblyAI adds a per-hour charge for them on top of every model.
- 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 AssemblyAI?
- Yes. Avencera transcribes from $0.06 an hour, or $0.08 with speaker labels. At 100 hours a month with speaker labels, AssemblyAI Universal-2 costs $17.00 against $8.00 at Avencera, 2.1× as much.
- Is Avencera more accurate than AssemblyAI?
- Across 4 published results, Avencera is ahead on 1 and behind on 3. Universal-3.5 Pro scores 5.39% on the Open ASR Leaderboard, English, against 6.02% for Parakeet v2. Universal-3.5 Pro scores 6.05% on the Open ASR Leaderboard, earnings calls, against 5.85% for Parakeet v3. Universal-3 Pro scores 10.35% on the Open ASR Leaderboard, long-form, against 13.37% for Parakeet v3. Universal-3.5 Pro scores 3.0% on the Artificial Analysis, against 4.5% for Parakeet v3.
- Which AssemblyAI model is closest to Avencera?
- Universal-2 is the closer match on price; Universal-3.5 Pro is the closer match on accuracy, and it beats Parakeet on most of the benchmarks below. Avencera costs less than either.
- How do I switch from AssemblyAI to Avencera?
- Avencera uses OpenAI’s transcription API format, so any OpenAI SDK works. Send the same audio files you send AssemblyAI, and map its response fields to the OpenAI-style transcript.
Sources
- AssemblyAI pricing
- AssemblyAI supported languages
- Hugging Face Open ASR Leaderboard
- Artificial Analysis speech-to-text
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 and October 23, 2026 for the Artificial Analysis speech-to-text.
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