12 Best Deepgram Alternatives (2026)
Deepgram is speech-to-text api known for fast, accurate transcription at low per-minute prices, used to add voice features to apps and call platforms.. Teams that switch usually cite price at production volume, streaming latency for live agents, self-hosting and license control. The alternatives below are ranked by published head-to-head verdicts, not sponsorship.
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Reviewed by vsref Editorialfacts verified Sep 23, 2026Methodology →
Where to switch, by reason
All 46 speech-to-text apis alternatives
How the top Deepgram alternatives compare
Beyond the ranked cards: how the top 6 Deepgram alternatives place in the Speech-to-text APIs field, where each one wins in our published verdicts, and what Deepgram still holds over it.
1. AssemblyAI
Among the 43 speech-to-text tools we track, AssemblyAI has the 12th-widest language coverage - a fit for multilingual and localization projects.
In our published verdicts, AssemblyAI beats Deepgram for call centers, developers and meetings and matches it for dictation, medical and self-hosted.
The reverse angle matters too - Deepgram vs AssemblyAI: about half the languages.
Published pricing starts at $0.0035 per audio-minute (batch), verified July 2026.
Why teams switch: For high-volume call center transcription, per-minute cost is the dominant factor. AssemblyAI charges $0.0035 per audio minute for batch versus Deepgram at $0.0043, a meaningful difference at scale. The gap widens with diarization: AssemblyAI's add-on costs $0.000333 per minute versus Deepgram's $0.002, roughly 6x more expensive. PII redaction follows the same pattern, with AssemblyAI at $0.001333 per minute against Deepgram's $0.002. On concurrency, AssemblyAI supports 200+ async concurrent jobs versus Deepgram's 50 REST concurrent, providing more headroom for call volume spikes. Both tools offer sentiment analysis. Across all three heaviest cost attributes, AssemblyAI is consistently cheaper, and the diarization gap alone is decisive for call center economics.
Call Centers verdict →
Overall verdict: AssemblyAI wins three use cases outright (Call Centers, Developers, Meetings) and ties the remaining three. The core reasons are accuracy, streaming speed, and cost efficiency. In third-party benchmarks, AssemblyAI records a 3.02% word error rate versus Deepgram's 5.18%, a meaningful gap that drives its edge in call center and meetings transcription. On streaming, AssemblyAI claims 150 ms latency against Deepgram's 300 ms, which matters for real-time developer applications. For batch work, AssemblyAI's per-minute rate is lower than Deepgram's, and its diarization add-on is also cheaper per minute. AssemblyAI supports 99 languages versus Deepgram's 50, broadening its appeal. Deepgram offers a larger free-tier credit ($200 versus $50) and a wider SDK selection, but those advantages were not enough to flip any use case.
| Monthly volume | Batch bill | Streaming bill |
|---|---|---|
| 1K min/moSide project | $3.50 | $7.50 |
| 10K min/moProduction app | $35 | $75 |
| 100K min/moCall-center scale | $350 | $750 |
Published rates: batch $0.0035/min · streaming $0.0075/min, verified Jul 20, 2026. Sticker rates only; diarization and PII redaction add-ons price in the stack builder. How we compute costs →
Full AssemblyAI vs Deepgram comparison → · AssemblyAI review →
2. OpenAI Whisper (API)
Among the 43 speech-to-text tools we track, OpenAI Whisper (API) has the 21st-widest language coverage.
In our published verdicts, OpenAI Whisper (API) beats Deepgram for self-hosted and matches it for dictation.
The reverse angle matters too - Deepgram vs OpenAI Whisper (API): ~10% fewer languages.
Published pricing starts at $0.006 per audio-minute (batch), verified July 2026.
Why teams switch: For self-hosted deployment, the two heaviest attributes are the self-host option and model weights license, each weighted 5 out of 5. Whisper publishes its model weights under an MIT license, so users can freely run it on their own hardware with no restrictions. Deepgram explicitly offers a self-host option as a product, but no open weights license is documented, meaning customers depend on a proprietary container or agreement. Both tools technically support on-premises deployment, but Whisper's MIT license provides full hardware freedom and no vendor lock-in, which is the core value of self-hosting. Deepgram has no published weights license, making truly independent self-hosting unverifiable from the available information.
Self-Hosted verdict →
Overall verdict: Deepgram wins five of seven use cases by combining lower cost, native streaming, and richer built-in features. Its batch price of 0.004 dollars per audio minute undercuts Whisper API's 0.006 dollars per audio minute, and it is the only option with a WebSocket streaming API, making it the clear choice for call centers and voice agents where real-time transcription matters. For medical and meetings workflows, Deepgram adds speaker diarization and PII redaction as paid add-ons, features Whisper API simply does not offer. Entity detection, sentiment analysis, and summarization endpoints further extend its lead for developers building analytics pipelines. Whisper API takes the self-hosted use case because its MIT-licensed weights allow true on-premises deployment, which Deepgram cannot match through its cloud-only API path.
| Monthly volume | Monthly bill (batch) |
|---|---|
| 1K min/moSide project | $6 |
| 10K min/moProduction app | $60 |
| 100K min/moCall-center scale | $600 |
Published rates: batch $0.006/min, verified Jul 20, 2026. Sticker rates only; diarization and PII redaction add-ons price in the stack builder. How we compute costs →
Full OpenAI Whisper (API) vs Deepgram comparison → · OpenAI Whisper (API) review →
3. ElevenLabs Scribe
Among the 43 speech-to-text tools we track, ElevenLabs Scribe has the 19th-widest language coverage.
In our published verdicts, ElevenLabs Scribe matches Deepgram for dictation.
Before switching, weigh what stays behind - Deepgram vs ElevenLabs Scribe: about half the languages.
Its published rate is $0.0037 per audio-minute (batch), verified July 2026.
Overall verdict: Deepgram wins two of the three use cases and ties the third, giving it a clear overall edge. For developers, Deepgram offers a much broader SDK ecosystem covering JS/TS, Python, .NET, Go, Java, and Rust, versus ElevenLabs Scribe's two-language offering. Its free tier delivers $200 in no-expiry credits with no credit card required, making experimentation frictionless. It also supports 100-plus audio formats and offers up to 150 concurrent websocket connections on a pay-as-you-go plan. For self-hosting, Deepgram is the only option, as ElevenLabs Scribe offers no on-premises deployment path. Deepgram also provides a HIPAA BAA without enterprise gating, which matters for regulated workloads. Streaming costs about $0.29/hr versus ElevenLabs Scribe's $0.39/hr, adding further advantage at scale.
| Monthly volume | Batch bill | Streaming bill |
|---|---|---|
| 1K min/moSide project | $3.67 | $6.50 |
| 10K min/moProduction app | $36.67 | $65 |
| 100K min/moCall-center scale | $366.70 | $650 |
Published rates: batch $0.0037/min · streaming $0.0065/min, verified Jul 20, 2026. Sticker rates only; diarization and PII redaction add-ons price in the stack builder. How we compute costs →
Full ElevenLabs Scribe vs Deepgram comparison → · ElevenLabs Scribe review →
4. Mistral Voxtral Transcribe
Among the 43 speech-to-text tools we track, Mistral Voxtral Transcribe has the 37th-widest language coverage.
Our use-case verdicts have Mistral Voxtral Transcribe ahead of Deepgram for self-hosted and voice agents and matches it for dictation.
Seen from the other side, Deepgram vs Mistral Voxtral Transcribe: ~4× the languages.
Mistral Voxtral Transcribe lists $0.003 per audio-minute (batch), verified July 2026.
Why teams switch: For self-hosted deployment, the two heaviest attributes are the self-host option and an open-weights license. Both tools confirm a self-host option, but Mistral Voxtral Transcribe goes further by publishing its weights under the Apache-2.0 license, meaning teams can run the model freely on their own hardware with no licensing restrictions. Deepgram offers on-prem deployment but has no open-weights license, making it a closed, vendor-gated arrangement rather than a truly open self-hosted model. The Apache-2.0 license is the decisive differentiator, giving Mistral Voxtral Transcribe a clear structural advantage for teams that want full control, portability, and the freedom to modify the model.
Self-Hosted verdict →
Full Mistral Voxtral Transcribe vs Deepgram comparison → · Mistral Voxtral Transcribe review →
5. Speechmatics
Among the 43 speech-to-text tools we track, Speechmatics has the 24th-widest language coverage.
Our use-case verdicts have Speechmatics ahead of Deepgram for meetings and matches it for dictation and self-hosted.
Seen from the other side, Deepgram vs Speechmatics: ~10% fewer languages.
Speechmatics lists $0.0022 per audio-minute (batch), verified July 2026.
Why teams switch: For recorded meetings, speaker diarization is the top priority. Speechmatics includes diarization at no extra cost, while Deepgram charges an additional 0.002 dollars per audio minute on top of its base rate. Both tools offer summarization, word-level timestamps, and language auto-detection. On languages, Speechmatics supports 56 versus Deepgram's 50, a small but real edge. For long file handling, Deepgram allows up to 2 GB per file compared to Speechmatics' 1 GB limit in the request body, giving Deepgram an edge on that attribute. However, diarization being weighted 5 out of 5 and included at no extra cost in Speechmatics tips the overall decision, especially since Deepgram's diarization add-on meaningfully raises the effective price per meeting.
Meetings verdict →
Full Speechmatics vs Deepgram comparison → · Speechmatics review →
6. Gladia
Among the 43 speech-to-text tools we track, Gladia has the 4th-widest language coverage - a fit for multilingual and localization projects.
Our use-case verdicts have Gladia ahead of Deepgram for meetings and matches it for dictation and self-hosted.
Seen from the other side, Deepgram vs Gladia: about half the languages.
Gladia lists $0.0102 per audio-minute (batch), verified July 2026.
Why teams switch: For meeting transcription, speaker diarization carries the most weight. Gladia includes diarization at no extra cost, while Deepgram charges an additional 0.002 dollars per audio minute as a paid add-on. On summarization, both tools offer it, so that factor is a wash. Gladia supports 101 languages versus Deepgram's 50, a meaningful advantage for multilingual meeting content. For file handling, Deepgram allows up to 2 GB per file while Gladia caps at 1000 MB, giving Deepgram a slight edge there. Word-level timestamps are available from both. Overall, the diarization cost advantage and broader language coverage tip the balance to Gladia, though Deepgram's larger file size limit keeps it close.
Meetings verdict →