Speech-to-text API comparison
Choose AssemblyAI for the lowest listed example cost: $21 for 100 audio hours.
| Need | Pick | Why |
|---|---|---|
| Lowest example cost | AssemblyAI | $212 |
| Fastest non-streaming processing | Deepgram | AA measures 623.2 audio seconds processed per second for Nova-3.5 |
| Lowest AA-WER v2 | ElevenLabs | ElevenLabs Scribe v2 2.2% / AssemblyAI Universal-3.5 Pro 3.0%5 |
Performance
| Provider | API and model ID | AA-WER v2 (%) | Audio processing speed (×) |
|---|---|---|---|
| AssemblyAI5 | Universal-3.5 Pro | 3.0% | 101.5× |
| ElevenLabs5 | Scribe v2 | 2.2% | 72.2× |
| Deepgram5 | Nova-3 | 5.2% | 623.2× |
| OpenAI5 | GPT Transcribe | 3.3% | 45.0× |
Documented language coverage
| Provider / model | Model-specific coverage |
|---|---|
| AssemblyAI · Universal-3.5 Pro | 18 languages; includes English and Spanish2 |
| ElevenLabs · Scribe v2 | 90+ languages; includes English and Spanish3 |
| Deepgram · Nova-3 | The documented multi mode lists 10 languages, including English and Spanish; the English price uses monolingual mode.6 |
| OpenAI · GPT Transcribe | English, Spanish and French codes are documented; no fixed model-specific total is published.7 |
Prices and request cost
| Provider | English / audio hour | English / 100 hours | Mixed English/Spanish / hour | Mixed English/Spanish / 100 hours |
|---|---|---|---|---|
| AssemblyAI2 | $0.21 | $21 | $0.21 | $21 |
| ElevenLabs3 | $0.22 | $22 | $0.22 | $22 |
| Deepgram · Nova-3 Monolingual1 | $0.258 | $25.8 | $0.312 | $31.2 |
| OpenAI4 | $0.27 | $27 | $0.27 | $27 |
Options, strengths and limitations
AssemblyAI
Universal-3.5 Pro on AssemblyAI has an AA-WER/speed reference of 3.0% · 101.5×; the base transcription price is $0.21/audio hour.
- Base price / audio hour
- $0.21
- Example quantity
- 100
- Example total
- $21
ElevenLabs
Scribe v2 on ElevenLabs has an AA-WER/speed reference of 2.2% · 72.2×; the base transcription price is $0.22/audio hour.
- Base price / audio hour
- $0.22
- Example quantity
- 100
- Example total
- $22
Deepgram
Nova-3 on Deepgram has an AA-WER/speed reference of 5.2% · 623.2×; the base transcription price is $0.258/audio hour.
- Base price / audio hour
- $0.258
- Example quantity
- 100
- Example total
- $25.8
Strengths
- AA measures 623.2 audio seconds processed per second for Nova-3.5
OpenAI
GPT Transcribe on OpenAI has an AA-WER/speed reference of 3.3% · 45.0×; the base transcription price is $0.27/audio hour.
- Base price / audio hour
- $0.27
- Example quantity
- 100
- Example total
- $27
Methodology and sources
The AA-WER v2 and non-streaming speed figures are published AA measurements, not tests run for this article. The main cost chart uses 100 hours of English mono pre-recorded audio, with no add-ons. Deepgram uses Nova-3 Monolingual Pay As You Go at $0.0043/minute. The separate mixed English/Spanish tariff uses Nova-3 Multilingual at $0.0052/minute: $0.312/hour and $31.2 for 100 hours. The other listed base tariffs do not add a separate language surcharge for this bilingual example. GPT Transcribe bills audio duration at $0.0045/minute. WER is lower-is-better; speed is audio seconds processed per second, not streaming response latency. Language counts follow each model’s documentation and are not a language-quality ranking; OpenAI does not publish a fixed total for GPT Transcribe. Cards use ascending English-example cost. Rolling third-party performance values are the batch snapshot identified by the page’s Updated line, not live guarantees. AA speed factors are rolling 7-day medians measured with 10-minute audio.
- Deepgram · Nova-3 specifications and pricing
- AssemblyAI · Universal-3.5 Pro specifications and pricing
- ElevenLabs · Scribe v2 specifications and pricing
- OpenAI · GPT Transcribe specifications and pricing
- Artificial Analysis · AA-WER v2 non-streaming
- Deepgram · Nova-3 language modes
- OpenAI · GPT Transcribe language hints
Use Novita LLMs after transcription
Build summaries from transcript text with Novita Model APIs. The speech-to-text endpoints and rates above belong to the named third-party providers.