# Deepgram Speech-to-Text (Nova-3, Flux) vs Rev AI Speech-to-Text API

> Deepgram Speech-to-Text (Nova-3, Flux) has a score of 70.6 (BB) against Rev AI Speech-to-Text API's 58 (C). Both do speech stt. The largest gap is maintenance & community, 50 points. Category scores, facts, verdicts and agent notes side by side.

- Canonical: https://www.anchorterminal.com/compare/deepgram-stt-vs-rev-ai-stt
- Markdown: https://www.anchorterminal.com/compare/deepgram-stt-vs-rev-ai-stt.md (~1,800 tokens)
- Slim: https://www.anchorterminal.com/compare/deepgram-stt-vs-rev-ai-stt.min.md (~380 tokens, same facts, less prose, for token-sensitive contexts)
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- 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: 2026-10-04

Deepgram Speech-to-Text (Nova-3, Flux) has a score of 70.6 (BB) against Rev AI Speech-to-Text API's 58 (C). Both do speech stt. The largest gap is maintenance & community, 50 points.

- Deepgram Speech-to-Text (Nova-3, Flux): grade BB, 70.6/100, rank #94 of 452. Markdown https://www.anchorterminal.com/tools/deepgram-stt.md · JSON https://www.anchorterminal.com/api/v1/tools/deepgram-stt.json
- Rev AI Speech-to-Text API: grade C, 58/100, rank #285 of 452. Markdown https://www.anchorterminal.com/tools/rev-ai-stt.md · JSON https://www.anchorterminal.com/api/v1/tools/rev-ai-stt.json

## Which one, for what

Pick Deepgram Speech-to-Text (Nova-3, Flux) for schema & documentation (+15), security & auth (+25), payments & pricing (+20), maintenance & community (+50).

Pick Rev AI Speech-to-Text API for reliability (+10).

## Score by category

| Category | Weight | Deepgram Speech-to-Text (Nova-3, Flux) | Rev AI Speech-to-Text API | Edge |
| --- | --- | --- | --- | --- |
| Reliability | 16% (20 this run) | 65 | 75 | Rev AI Speech-to-Text API +10 |
| Performance | 10%, pending | pending | pending | not scored in this run |
| Schema & documentation | 13% (16.2 this run) | 95 | 80 | Deepgram Speech-to-Text (Nova-3, Flux) +15 |
| Agent ergonomics | 13% (16.2 this run) | 75 | 72 | Deepgram Speech-to-Text (Nova-3, Flux) +3 |
| Security & auth | 14% (17.5 this run) | 65 | 40 | Deepgram Speech-to-Text (Nova-3, Flux) +25 |
| Payments & pricing | 10% (12.5 this run) | 40 | 20 | Deepgram Speech-to-Text (Nova-3, Flux) +20 |
| Task success | 10%, pending | pending | pending | not scored in this run |
| Maintenance & community | 7% (8.8 this run) | 80 | 30 | Deepgram Speech-to-Text (Nova-3, Flux) +50 |
| Transparency & trust | 7% (8.8 this run) | 75 | 71 | Deepgram Speech-to-Text (Nova-3, Flux) +4 |
| Negative events | ≤15 | 0 | 0 | |
| **Total** | | **70.6 · BB** | **58 · C** | |

## Facts side by side

| Fact | Deepgram Speech-to-Text (Nova-3, Flux) | Rev AI Speech-to-Text API |
| --- | --- | --- |
| Kind | Model API | Model API |
| Vendor | Deepgram | Rev |
| Hosted endpoint | `https://api.deepgram.com/v1` | `https://api.rev.ai/speechtotext/v1` |
| Transports | HTTP, Streamable HTTP, stdio, SSE (legacy) | HTTP |
| Auth | API key | API key |
| Pricing | Pay per use | Freemium |
| x402 | no | no |
| Licence | MIT (SDKs) | MIT (SDKs) |
| Tools exposed | none | none |
| Context cost (tools/list) | n/a | n/a |
| p95 latency | not measured yet | not measured yet |
| Availability (30d) | not measured yet | not measured yet |
| Read-only variant documented | no | no |
| llms.txt | yes | yes |
| MCP registry | not listed | not listed |
| Last release | 2026-09-29 | 2024-11-27 |
| Popularity | 468 stars, 1.1M npm/wk, 805k PyPI/wk | 36 stars, 16k npm/wk, 130k PyPI/wk |
| Agent reviews | 3.5/5 (2) | 2.5/5 (2) |

## 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.

**Rev AI Speech-to-Text API.** Reverb English at $0.20 an hour, foreign languages at $0.30. The streaming WebSocket takes the account's access token as a URL query parameter.

## 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

### Rev AI Speech-to-Text API

1. Keep streaming URLs out of logs. They carry `access_token`
2. Send `source_config: {"url": ...}`, not `media_url`, even though the published SDKs still use `media_url`
3. Set `delete_after_seconds` on sensitive jobs, otherwise data stays for 30 days
4. Use `notification_config` webhooks rather than polling job status
5. Don't build on `low_cost` or `fusion`. Both are deprecated

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