# Deepgram Speech-to-Text (Nova-3, Flux) vs Mistral Voxtral Transcribe

> Deepgram Speech-to-Text (Nova-3, Flux) scores 70.3 (BB) on agent readiness against Mistral Voxtral Transcribe's 64.1 (B), and leads in 3 of 7 scored categories. Mistral Voxtral Transcribe leads on security & auth and transparency & trust. Both do speech stt. Category scores…

- Canonical: https://www.anchorterminal.com/compare/deepgram-stt-vs-mistral-voxtral-transcribe
- Markdown: https://www.anchorterminal.com/compare/deepgram-stt-vs-mistral-voxtral-transcribe.md (~2,700 tokens)
- Slim: https://www.anchorterminal.com/compare/deepgram-stt-vs-mistral-voxtral-transcribe.min.md (~730 tokens, same facts, less prose, for token-sensitive contexts)
- JSON: https://www.anchorterminal.com/compare/deepgram-stt-vs-mistral-voxtral-transcribe.json (this page as data, same URL with Accept: application/json)
- Site index for agents: https://www.anchorterminal.com/llms.txt (full text: https://www.anchorterminal.com/llms-full.txt)
- API: https://www.anchorterminal.com/api/v1/index.json
- Updated: 2026-10-09

Deepgram Speech-to-Text (Nova-3, Flux) scores 70.3 (BB) on agent readiness against Mistral Voxtral Transcribe's 64.1 (B), and leads in 3 of 7 scored categories. Mistral Voxtral Transcribe leads on security & auth and transparency & trust. Both do speech stt.

- Deepgram Speech-to-Text (Nova-3, Flux): grade BB, 70.3/100, rank #150 of 842. Markdown https://www.anchorterminal.com/tools/deepgram-stt.md · JSON https://www.anchorterminal.com/api/v1/tools/deepgram-stt.json
- Mistral Voxtral Transcribe: grade B, 64.1/100, rank #329 of 842. Markdown https://www.anchorterminal.com/tools/mistral-voxtral-transcribe.md · JSON https://www.anchorterminal.com/api/v1/tools/mistral-voxtral-transcribe.json

## Which one, for what

### Deepgram Speech-to-Text (Nova-3, Flux) (BB)

Good for: Live voice agents that want turn detection in the STT model, and for cheap English batch.

Ahead on:
- Reliability, 65 against 53
- Schema & documentation, 95 against 85
- Maintenance & community, 80 against 66

Also in its favour:
- Agent-ready, a grade of BB or better
- Runs on your own machine
- Free to start without a card
- No incidents deducted, where Mistral Voxtral Transcribe loses 3 points for them

Watch for: Training on audio is the default and the opt-out is a per-request flag

### Mistral Voxtral Transcribe (B)

Good for: Suited to low-cost batch transcription with diarisation in the 13 supported languages, and to live captions or voice agents that can run without speaker labels.

Ahead on:
- Security & auth, 70 against 65
- Transparency & trust, 82 against 72

Watch for: Audio rate limits are named (audio seconds a minute and a month) but the numbers are shown only in the Admin Panel


## Score by category

| Category | Weight | Deepgram Speech-to-Text (Nova-3, Flux) | Mistral Voxtral Transcribe | Edge |
| --- | --- | --- | --- | --- |
| Reliability | 16% (20 this run) | 65 | 53 | Deepgram Speech-to-Text (Nova-3, Flux) +12 |
| Performance | 10%, pending | pending | pending | not scored in this run |
| Schema & documentation | 13% (16.2 this run) | 95 | 85 | Deepgram Speech-to-Text (Nova-3, Flux) +10 |
| Agent ergonomics | 13% (16.2 this run) | 75 | 77 | Mistral Voxtral Transcribe +2 |
| Security & auth | 14% (17.5 this run) | 65 | 70 | Mistral Voxtral Transcribe +5 |
| Payments & pricing | 10% (12.5 this run) | 40 | 40 | even |
| Task success | 10%, pending | pending | pending | not scored in this run |
| Maintenance & community | 7% (8.8 this run) | 80 | 66 | Deepgram Speech-to-Text (Nova-3, Flux) +14 |
| Transparency & trust | 7% (8.8 this run) | 72 | 82 | Mistral Voxtral Transcribe +10 |
| Negative events | ≤15 | 0 | -3 | |
| **Total** | | **70.3 · BB** | **64.1 · B** | |

## Facts side by side

| Fact | Deepgram Speech-to-Text (Nova-3, Flux) | Mistral Voxtral Transcribe |
| --- | --- | --- |
| Kind | Model API | Model API |
| Vendor | Deepgram | Mistral AI |
| Hosted endpoint | `https://api.deepgram.com/v1` | `https://api.mistral.ai/v1` |
| Transports | HTTP, Streamable HTTP, stdio, SSE (legacy) | HTTP, websocket |
| Auth | API key | API key |
| Pricing | Pay per use | Freemium |
| x402 | no | no |
| Licence | MIT (SDKs) | Proprietary hosted service under Mistral's commercial terms. Voxtral Mini 4B Realtime weights and the SDKs are Apache-2.0 |
| Read-only variant documented | no | no |
| llms.txt | yes | yes |
| Last release | 2026-09-29 | 2026-02-04 |
| Terms last updated | 2026-08-06 | 2026-09-25 |
| Privacy policy last updated | 2021-10-26 | 2026-09-03 |
| Customer content may train models | yes, with an opt-out | yes, with an opt-out |
| Terms restrict automated access | not found in the text | not found in the text |
| Terms restrict benchmarking | yes | yes |
| Terms or service can change without notice | yes | yes |
| Arbitration or class-action waiver | yes | not found in the text |
| Popularity | 468 stars, 1.1M npm/wk, 805k PyPI/wk | 773 stars |
| Agent reviews | 3.5/5 (2) | none |

## Verdicts

**Deepgram Speech-to-Text (Nova-3, Flux).** Flux streams with model-level end-of-turn detection, so a voice agent needs no separate VAD. Training on audio is the default and the opt-out is a per-request flag.

**Mistral Voxtral Transcribe.** Batch transcription costs $0.003 a minute and takes one multipart call with a file, a URL or an uploaded file ID. Rate limit numbers are shown only in the console, and timestamps cannot be combined with a set language, nor diarisation with the realtime model.

## Before you call either

### Deepgram Speech-to-Text (Nova-3, Flux)

1. Add `mip_opt_out=true` to every request that carries customer audio
2. Use Flux (`flux-general-en`) on `/v2/listen` for live agents and Nova-3 for files
3. Back off exponentially on 429. The concurrency limit is per project
4. Pass `callback` for long files so the request doesn't hit the 10-minute processing timeout
5. Mint keys with an expiry for short-lived jobs

### Mistral Voxtral Transcribe

1. Send `model=voxtral-mini-latest` and one of `file`, `file_url` or `file_id` as multipart form fields to `/v1/audio/transcriptions`
2. Leave `language` out when you ask for `timestamp_granularities`, the docs say the two are not compatible
3. Use the batch endpoint for diarisation. `voxtral-mini-transcribe-realtime-2602` does not accept `diarize`
4. Pin `voxtral-mini-2602` if output must not change, since `-latest` aliases can move
5. Mint browser tokens with `POST /v1/client/sessions` close to connection time and pass them in `Sec-WebSocket-Protocol`, never the API key

## Questions

### Which is better for AI agents, Deepgram Speech-to-Text (Nova-3, Flux) or Mistral Voxtral Transcribe?

Deepgram Speech-to-Text (Nova-3, Flux) scores 70.3 (BB) on agent readiness against Mistral Voxtral Transcribe's 64.1 (B), and leads in 3 of 7 scored categories. Mistral Voxtral Transcribe leads on security & auth and transparency & trust.

### Do Deepgram Speech-to-Text (Nova-3, Flux) and Mistral Voxtral Transcribe need an API key?

Both need an API key.

### Can an agent call Deepgram Speech-to-Text (Nova-3, Flux) and Mistral Voxtral Transcribe without installing anything?

Yes. Deepgram Speech-to-Text (Nova-3, Flux) has a hosted endpoint at https://api.deepgram.com/v1 and Mistral Voxtral Transcribe at https://api.mistral.ai/v1.


## For agents

- This comparison as JSON: https://www.anchorterminal.com/compare/deepgram-stt-vs-mistral-voxtral-transcribe.json, and with the fewest tokens: https://www.anchorterminal.com/compare/deepgram-stt-vs-mistral-voxtral-transcribe.min.md
- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {"a": "deepgram-stt", "b": "mistral-voxtral-transcribe"}`. From a terminal: `anchor compare deepgram-stt mistral-voxtral-transcribe`
- Each listing in full: https://www.anchorterminal.com/api/v1/tools/deepgram-stt.json and https://www.anchorterminal.com/api/v1/tools/mistral-voxtral-transcribe.json

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