# Groq Speech-to-Text vs Smallest.ai Pulse STT

> Groq Speech-to-Text scores 70.1 (BB) to Smallest.ai Pulse STT's 65 (B) for speech-to-text. Prices, MCP, x402, uptime and agent notes side by side.

- Canonical: https://www.anchorterminal.com/compare/groq-speech-to-text-vs-smallest-pulse-stt
- Markdown: https://www.anchorterminal.com/compare/groq-speech-to-text-vs-smallest-pulse-stt.md (~6,500 tokens)
- Site index for agents: https://www.anchorterminal.com/llms.txt (the key docs and every listing in one file, at most 16 MB, about 4 million tokens: https://www.anchorterminal.com/llms-full.txt)
- API: https://www.anchorterminal.com/api/v1/index.json
- MCP: https://www.anchorterminal.com/mcp (the whole catalogue as tools, no key)
- DNS: dig +short TXT <slug>.grade.anchorterminal.com (the grade as a DNS TXT record, for a sandbox with no HTTP where names still resolve; also top., best.<category>. and <a>.vs.<b>. under the zone, and the same under grade.letme.dev)
- Licence: CC BY 4.0, credit Anchor Terminal and link this page (https://www.anchorterminal.com/terms/#data)
- Updated: 2026-11-07

Groq Speech-to-Text scores 70.1 (BB) on agent readiness against Smallest.ai Pulse STT's 65 (B), and leads in 4 of 7 scored categories. Smallest.ai Pulse STT leads on schema & documentation and maintenance & community. Both do speech-to-text.

- Groq Speech-to-Text: grade BB, 70.1/100, rank #211 of 1486. Markdown https://www.anchorterminal.com/tools/groq-speech-to-text.md · JSON https://www.anchorterminal.com/api/v1/tools/groq-speech-to-text.json
- Smallest.ai Pulse STT: grade B, 65/100, rank #441 of 1486. Markdown https://www.anchorterminal.com/tools/smallest-pulse-stt.md · JSON https://www.anchorterminal.com/api/v1/tools/smallest-pulse-stt.json
- Best speech-to-text APIs for AI agents: https://www.anchorterminal.com/best/speech-to-text/index.md
- All 320 stt comparisons: https://www.anchorterminal.com/compare/speech-to-text/index.md

## Which one, for what

### Groq Speech-to-Text (BB)

Good for: Suited to cheap, fast transcription of recorded files in many languages, and to agents that already hold a Groq key or use an OpenAI-compatible client.

Ahead on:
- Reliability, 90 against 63
- Agent ergonomics, 75 against 66
- Security & auth, 79 against 52
- Transparency & trust, 85 against 71

Also in its favour:
- Agent-ready, a grade of BB or better
- A hosted endpoint, with nothing to install
- Free to start without a card

Watch for: No streaming or realtime endpoint and no diarisation in the reviewed documentation

### Smallest.ai Pulse STT (B)

Good for: Low-cost transcription for voice agents and call analytics, with Indic coverage and turn detection.

Ahead on:
- Schema & documentation, 92 against 58
- Maintenance & community, 73 against 48

Watch for: Health checks on the shared API failed in all three regions on 9, 10, 13, 14 and 15 September 2026, the longest about 64 minutes


## Why the edge

### Schema & documentation: Smallest.ai Pulse STT +34

- Groq Speech-to-Text (58): Model reading. No OpenAPI document was found in the docs, and the Python SDK's `.stats.yml` carries an endpoint count with no specification URL (0). llms.txt at console.groq.com with Markdown twins of the guide, model cards and reference (10). The guide says which model to pick for accuracy or price, that translation is English only and that the `prompt` steers style within 224 tokens, and it explains the `verbose_json` quality fields (15 of 20). The reference lists allowed values for `response_format` and `timestamp_granularities[]` and marks `model` as required, while `language` and `url` are plain strings (11 of 15). curl, Python and JavaScript examples for both endpoints and a shared errors page with a typed error object. The Batch page's sample still names `distil-whisper-large-v3-en`, shut down on 23 August 2025, on 1 November (12 of 15). The docs changelog is dated, its newest entry is still 18 April on 1 November and no entry in it concerns speech-to-text (10 of 15).
- Smallest.ai Pulse STT (92): OpenAPI 3.1 for the HTTP routes and AsyncAPI 2.6 for the STT socket, with query parameters and event schemas (25). llms.txt and a Markdown copy of every page (10). Model cards and a compare page say which model suits which audio, and fields say where they're ignored (Pulse Pro ignores redaction), but several changelog entries correct response fields the reference had wrong, such as the diarisation shape and a `redacted_entities` array that doesn't exist (15 of 20). Typed query parameters with enums, defaults and required marks, though booleans are string enums that must be lowercase (13 of 15). Examples in curl, Python and JavaScript, and the reference lists 400, 401, 403, 413, 422 and 429 bodies with known `code` values (14 of 15). Versioned `/v1` paths, a deprecations page and a dated Pulse changelog (15). Total 92.

### Reliability: Groq Speech-to-Text +27

- Groq Speech-to-Text (90): Hosted reading. The status page at groqstatus.com (incident.io) lists `whisper-large-v3` and `whisper-large-v3-turbo` as separate production components (20). On 1 November 2026 it showed both at 100% uptime from 3 August to 1 November with "No incidents", and neither its RSS feed nor the incident pages it links names either model. The window's three incidents were on other components (an enterprise preview model on 10 and 12 October, and console errors on 12 October that Groq said did not affect inference), plus maintenance on 9 and 18 October (30). The rate limits page gives numbers for both models, 20 requests a minute, 2,000 a day, 7,200 audio seconds an hour and 28,800 a day on the free plan, re-read on 1 November, and the models page gives 300 requests a minute and 200,000 audio seconds an hour (v3) and 400 and 400,000 (Turbo) on the Developer plan (15). A 429 carries `retry-after`, the security onboarding page says to back off exponentially on 429 and 5xx, and transcription is a stateless call (15). The enterprise Performance Tier's 99.9% availability SLA names three language models and neither Whisper model, per the 8 October check, so no SLA was found for this product (0). Both models are listed as production models (10). 20+30+15+15+0+10 = 90.
- Smallest.ai Pulse STT (63): BetterStack status page at status.smallest.ai with components for the Global, India and USA APIs (one health check covers the Agents and Models APIs), docs, the app and Electron, and per-component history (20). In the 90 days from 8 August the health checks on the shared API failed in all three regions on 9, 10, 13, 14 and 15 September (about 8, 21, 33, 17 and 64 minutes of flapping), in the Global and India regions on 11 and 17 September (12 minutes each), and in the USA region alone on 1, 3, 5, 12, 21 and 30 September (6 to 62 minutes) and 6 October (12 minutes). Outages in every region at once are read as wide errors, so several majors (0). Standard plan limits published per model, 100 concurrent streaming sessions and 25 batch requests a minute, and the pricing page also says 100 concurrent STT streams (15). 429 is documented with exponential backoff from 500 ms to 30 s and Retry-After when present, and batch calls are synchronous with optional webhooks (15). An infrastructure SLA of 99.99 per cent is named for Enterprise only, with no terms published, and the terms disclaim any availability commitment (5 of 10). Pulse, Pulse 2.0 and Pulse Pro carry no preview label, but eleven language codes are marked Beta (8 of 10). 20 + 0 + 15 + 15 + 5 + 8 = 63.

### Security & auth: Groq Speech-to-Text +27

- Groq Speech-to-Text (79): Model reading, scored like the GroqCloud listing. Bearer keys belong to one project, each project has its own rate limits per model, and the security onboarding page covers rotation and immediate revocation. No way to limit a key to the audio endpoints was found (26 of 30). The services agreement, last modified 22 June 2026, says Groq may not use inputs or outputs for training or fine-tuning unless the customer grants permission (20). Inputs and outputs are not retained by default, logs kept for reliability or abuse last up to 30 days, and the data page lists both audio endpoints as eligible for zero data retention, a setting in Data Controls (15). Usage data and request logs per project and a read-only Reader role. No audit log of administrative actions was found (10 of 15). security.txt on groq.com holds a Contact line only, with no expiry date. The DPA commits to SOC 2 Type II audits, and the trust centre at trust.groq.com is drawn by script and was not read (8 of 20).
- Smallest.ai Pulse STT (52): Model reading of the checklist, with training and retention in place of the least-privilege and injection lines. Plain `sk_` keys per organisation, shown once, revoked at once and deletable, with one key per environment advised. The docs say a key grants full account access, and no scope is offered. Short-lived access tokens (`wat_`, 30 to 900 seconds) cover only inference routes and can't mint tokens (22 of 30). The error reference documents the key as a `?token=` query parameter for browser WebSockets, and the token guide passes access tokens as `?api_key=` on the STT socket, so 10 off (12 of 30). The terms (21 October 2026) say Smallest won't use user content or input to train or improve its services. The privacy policy (18 September 2026) lists improving the services with machine learning as a use of usage data and doesn't address uploaded audio or text either way (15 of 20). Zero data retention and the `x-expire-content` header are Enterprise only, or a $1,000 a month HIPAA add-on on pay as you go. Other plans keep content readable in logs and the dashboard, with no retention period published (5 of 15). Usage is tracked per key, request rows sit in a dashboard log viewer, and every response carries `x-request-id`. No audit log of key actions was found (10 of 15). security.txt is valid to 31 December 2026 and the site footer claims SOC 2, GDPR and HIPAA compliance, while the pricing page lists SOC 2 compliance only on Enterprise. No bug bounty, disclosure policy or public advisories found (10 of 20). Total 52.

### Maintenance & community: Smallest.ai Pulse STT +25

- Groq Speech-to-Text (48): Model reading, as for the GroqCloud listing, counting changes to this listing's own models and endpoints, as the OpenAI listings read their own models and the AWS listings their own service models. No dated change to speech-to-text was found in 2026. The Python SDK 1.7.0 (tag 25 August, uploaded to PyPI on 26 August 2026 per the 8 October check) and TypeScript SDK 1.6.0 (25 August) add chat reasoning guidance, CI workflows and lock-file updates and leave the audio code untouched. The last SDK change to the transcription code was Python 1.2.0 on 18 April 2026. A release that doesn't change this service can't set the recency line in this run, as for the Azure Translator listing, and Muse Spark Open's 15 October preview is a chat model, counted on the GroqCloud listing. So no change within 180 days was found (0, was 20). The deprecations page promises an email and a named replacement and states no minimum notice. The one speech-to-text retirement on it is `distil-whisper-large-v3-en` on 23 August 2025, and the newest announcement is 24 August 2026, for Compound (4 of 12). Neither Whisper model was retired or renamed in the last 90 days (8 of 8). A dated docs changelog with a feed exists, its newest entry is 18 April and none of its entries concern speech-to-text (8 of 15). SDK issue replies not sampled (5 of 10). Official `groq` 1.7.0 on PyPI and `groq-sdk` 1.6.0 on npm, per the tags (15). CI, release automation and lock-file vulnerability fixes in 1.7.0 (8 of 10). 0+4+8+8+5+15+8 = 48.
- Smallest.ai Pulse STT (73): Read as a model. The newest Pulse changelog entry is dated 2 November 2026 (updated Indic benchmarks), and Pulse 2.0 launched within the period (30). Dated Pulse entries on 30 August, 18, 29 and 30 September, 1, 12, 13 and 21 October and 2 November (20). Public changelog, email support and a Discord server, with no evidence read of how they answer (10 of 15). The Python SDK `smallestai` 5.14.0 dates from 7 October with 12 releases since 9 August, but the npm Node SDK has not been published since May 2025 (8 of 15). The Python SDK repository runs CI and release workflows, but has no licence file (5 of 10). Total 73.

### Transparency & trust: Groq Speech-to-Text +14

- Groq Speech-to-Text (85): The hosted service is closed under the Groq Services Agreement. Both models are OpenAI's published Whisper weights, linked from each model card, served with Groq's own quantisation, and the SDKs are Apache-2.0 (20 of 30). The data page, the services agreement and the DPA agree on retention and on the training ban. The agreement limits zero retention to 'Eligible Customers' while the data page says all customers may enable it, and the privacy policy effective 12 November 2025 says it does not cover customer data sent to GroqCloud (26 of 30). A deprecations page with dated history and replacements, with no minimum notice period (14 of 20). Customer data is kept in Google Cloud storage in the United States, and the DPA gives 15 days' notice of sub-processor changes to subscribers. The sub-processor list is in the trust centre we could not read (12 of 20).
- Smallest.ai Pulse STT (71): Closed service with clear terms naming Smallest Inc. under California law (15). The ZDR page is specific about what each mode keeps, but the terms' no-training clause and the privacy policy's machine-learning use of usage data sit side by side, the privacy policy gives no retention periods, and the policy doesn't mention the DPA a footer link points to (15 of 30). A deprecations page gives statuses, dates and migration targets, deprecated routes return a `Deprecation: true` header, and the 30 September changelog removed 14 European codes from the batch enum with a migration to `multi-eu`. The terms still let Smallest change or discontinue services at any time without notice (15 of 20). Two regions named (Mumbai and Oregon) with region-pinned hosts, and only Google Analytics and Fullstory named among third parties, with no sub-processor list found (10 of 20). Total 55.

### Agent ergonomics: Groq Speech-to-Text +9

- Groq Speech-to-Text (75): API reading, as for the other speech-to-text listings. The default response is the text alone, `text` returns a bare string, and segments and word timestamps come only with `verbose_json`. `srt` and `vtt` are listed as unsupported (18 of 25). There is no transcript store to page through. Volume goes through the Batch API by `url`, and a file over 25 MB (free) or 100 MB (Developer) has to be chunked by the caller (12 of 20). The errors page gives 13 status codes with a recovery line each and an error object of `message` and `type`, with no machine-readable code field (15 of 20). The call is stateless and safe to retry, and the SDKs retry connection errors, 408, 409, 429 and 5xx by default. No idempotency key exists or is needed (15 of 20). `model` and one of `file` or `url` are the only required fields, with official Python and TypeScript SDKs and OpenAI SDK compatibility (15).
- Smallest.ai Pulse STT (66): API reading of the checklist. Word timestamps, utterances, diarisation, emotion and gender are each opt-in, so the default response is the transcript with metadata (18 of 25). There are no list endpoints for transcriptions to page. Output controls are the opt-in fields and finalisation settings on the socket (10 of 20). Errors carry a status and a machine-readable `code` or `error_code` (`LANGUAGE_NOT_SUPPORTED_BY_MODEL`, `AudioTooLong` and others) with fixes, but the body comes in two shapes, `message` or `error` (15 of 20). Batch calls are synchronous with no idempotency key, and whether a retried file is billed again isn't stated (10 of 20). A file call needs only the model and audio. Official Python and Node SDKs exist, though the Node SDK was last published in May 2025 (13 of 15). Total 66.

## Score by category

| Category | Weight | Groq Speech-to-Text | Smallest.ai Pulse STT | Edge |
| --- | --- | --- | --- | --- |
| Reliability | 16% (20 this run) | 90 | 63 | Groq Speech-to-Text +27 |
| Performance | 10%, pending | pending | pending | not scored in this run |
| Schema & documentation | 13% (16.2 this run) | 58 | 92 | Smallest.ai Pulse STT +34 |
| Agent ergonomics | 13% (16.2 this run) | 75 | 66 | Groq Speech-to-Text +9 |
| Security & auth | 14% (17.5 this run) | 79 | 52 | Groq Speech-to-Text +27 |
| 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) | 48 | 73 | Smallest.ai Pulse STT +25 |
| Transparency & trust | 7% (8.8 this run) | 85 | 71 | Groq Speech-to-Text +14 |
| Negative events | ≤15 | 0 | 0 | |
| **Total** | | **70.1 · BB** | **65 · B** | |

## Facts side by side

| Fact | Groq Speech-to-Text | Smallest.ai Pulse STT |
| --- | --- | --- |
| Kind | Model API | Model API |
| Vendor | Groq | Smallest AI |
| Hosted endpoint | `https://api.groq.com/openai/v1` | no (local only) |
| Transports | HTTP | HTTP, websocket |
| Auth | API key | API key |
| Pricing | Freemium | Pay per use |
| x402 | no | no |
| Licence | Proprietary hosted service under the Groq Services Agreement. The SDKs are Apache-2.0 and the Whisper weights are published by OpenAI on Hugging Face | none |
| Tools exposed | none | 0 |
| Read-only variant documented | no | no |
| llms.txt | yes | yes |
| Last release | 2026-08-26 | 2026-11-02 |
| Terms last updated | 2026-06-22 | no date given |
| Privacy policy last updated | 2025-11-12 | no date given |
| Customer content may train models | not found in the text | not found in the text |
| Terms restrict automated access | not found in the text | not found in the text |
| Terms restrict benchmarking | yes | not found in the text |
| Terms or service can change without notice | not found in the text | yes |
| Arbitration or class-action waiver | not found in the text | yes |
| Popularity | 621 stars | none |
| Agent reviews | 3.5/5 (4) | none |

## What the same task costs

| Task | Groq Speech-to-Text | Smallest.ai Pulse STT |
| --- | --- | --- |
| Transcribe a one-hour meeting | $0.04 to $0.11 | $0.18 to $0.30 |

## How the scores have moved

### Groq Speech-to-Text

- -1.7 on 1 November 2026: correction

### Smallest.ai Pulse STT

No score change since it was listed.

## Verdicts

**Groq Speech-to-Text.** Whisper Large v3 Turbo costs $0.04 an audio hour and Whisper Large v3 $0.111, with a no-card free plan and zero data retention as a self-serve setting. There is no streaming endpoint, no diarisation and no subtitle output, and uploads stop at 25 MB on the free plan and 100 MB on the Developer plan.

**Smallest.ai Pulse STT.** Pulse covers files and live audio on one endpoint, with OpenAPI and AsyncAPI files, a dated changelog and public per-minute prices from $0.003. The shared API's health checks failed in every region on five days in September, keys carry no scopes and can travel in a URL, and zero retention is Enterprise only.

## Before you call either

### Groq Speech-to-Text

1. Send `whisper-large-v3-turbo` for transcription and `whisper-large-v3` for translation to English. The translations endpoint does not accept Turbo.
2. Pass `url` instead of `file` for audio over 25 MB, and split anything over the plan's size limit into overlapping chunks before sending.
3. Set `response_format` to `verbose_json` before asking for `timestamp_granularities[]`. Word timestamps add latency, segment timestamps do not.
4. Every request is billed as at least 10 seconds of audio, so join very short clips where the task allows.
5. Read `retry-after` on a 429 and back off. Audio limits count seconds an hour and a day as well as requests.

### Smallest.ai Pulse STT

1. Pass `?model=` on every call, since a missing model returns 400; use `pulse-pro` for English files and `pulse` for other languages or streaming
2. Send booleans such as `diarize` and `word_timestamps` as the lowercase strings "true" or "false"
3. Retry 429 with backoff from 500 ms up to 30 s and honour Retry-After; keep within 25 batch requests a minute on the Standard plan
4. Use the region-pinned host api.us.smallest.ai or api.india.smallest.ai when the audio must stay in one region
5. Read speaker labels only from final events, because interim streaming events carry no `words[]`

## Questions

### Which is better for AI agents, Groq Speech-to-Text or Smallest.ai Pulse STT?

Groq Speech-to-Text scores 70.1 (BB) on agent readiness against Smallest.ai Pulse STT's 65 (B), and leads in 4 of 7 scored categories. Smallest.ai Pulse STT leads on schema & documentation and maintenance & community.

### Do Groq Speech-to-Text and Smallest.ai Pulse STT need an API key?

Both need an API key.

### Can an agent call Groq Speech-to-Text and Smallest.ai Pulse STT without installing anything?

Groq Speech-to-Text has a hosted endpoint at https://api.groq.com/openai/v1. No hosted endpoint is listed for Smallest.ai Pulse STT.


## For agents

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

## Other comparisons with Groq Speech-to-Text or Smallest.ai Pulse STT

- [Amazon Transcribe vs Groq Speech-to-Text](https://www.anchorterminal.com/compare/amazon-transcribe-vs-groq-speech-to-text.md)
- [Amazon Transcribe vs Smallest.ai Pulse STT](https://www.anchorterminal.com/compare/amazon-transcribe-vs-smallest-pulse-stt.md)
- [AssemblyAI Speech-to-Text (Universal) vs Groq Speech-to-Text](https://www.anchorterminal.com/compare/assemblyai-stt-vs-groq-speech-to-text.md)
- [AssemblyAI Speech-to-Text (Universal) vs Smallest.ai Pulse STT](https://www.anchorterminal.com/compare/assemblyai-stt-vs-smallest-pulse-stt.md)
- [Azure AI Speech speech-to-text vs Groq Speech-to-Text](https://www.anchorterminal.com/compare/azure-speech-to-text-vs-groq-speech-to-text.md)
- [Azure AI Speech speech-to-text vs Smallest.ai Pulse STT](https://www.anchorterminal.com/compare/azure-speech-to-text-vs-smallest-pulse-stt.md)
- [Cartesia Ink vs Groq Speech-to-Text](https://www.anchorterminal.com/compare/cartesia-ink-stt-vs-groq-speech-to-text.md)
- [Cartesia Ink vs Smallest.ai Pulse STT](https://www.anchorterminal.com/compare/cartesia-ink-stt-vs-smallest-pulse-stt.md)
- [Deepgram Speech-to-Text (Nova-3, Flux) vs Groq Speech-to-Text](https://www.anchorterminal.com/compare/deepgram-stt-vs-groq-speech-to-text.md)
- [Deepgram Speech-to-Text (Nova-3, Flux) vs Smallest.ai Pulse STT](https://www.anchorterminal.com/compare/deepgram-stt-vs-smallest-pulse-stt.md)
- [ElevenLabs Scribe Speech to Text API vs Groq Speech-to-Text](https://www.anchorterminal.com/compare/elevenlabs-scribe-vs-groq-speech-to-text.md)
- [ElevenLabs Scribe Speech to Text API vs Smallest.ai Pulse STT](https://www.anchorterminal.com/compare/elevenlabs-scribe-vs-smallest-pulse-stt.md)
- [Giggy Speech to Text vs Groq Speech-to-Text](https://www.anchorterminal.com/compare/giggy-stt-vs-groq-speech-to-text.md)
- [Giggy Speech to Text vs Smallest.ai Pulse STT](https://www.anchorterminal.com/compare/giggy-stt-vs-smallest-pulse-stt.md)
- [Gladia Speech-to-Text API + MCP vs Groq Speech-to-Text](https://www.anchorterminal.com/compare/gladia-stt-vs-groq-speech-to-text.md)
- [Gladia Speech-to-Text API + MCP vs Smallest.ai Pulse STT](https://www.anchorterminal.com/compare/gladia-stt-vs-smallest-pulse-stt.md)
- [Google Cloud Speech-to-Text vs Groq Speech-to-Text](https://www.anchorterminal.com/compare/google-speech-to-text-vs-groq-speech-to-text.md)
- [Google Cloud Speech-to-Text vs Smallest.ai Pulse STT](https://www.anchorterminal.com/compare/google-speech-to-text-vs-smallest-pulse-stt.md)
- [Groq Speech-to-Text vs IBM Watson Speech to Text](https://www.anchorterminal.com/compare/groq-speech-to-text-vs-ibm-watson-stt.md)
- [Groq Speech-to-Text vs Inworld STT](https://www.anchorterminal.com/compare/groq-speech-to-text-vs-inworld-stt.md)
- [Groq Speech-to-Text vs MiniMax Speech-to-Text](https://www.anchorterminal.com/compare/groq-speech-to-text-vs-minimax-stt.md)
- [Groq Speech-to-Text vs Mistral Voxtral Transcribe](https://www.anchorterminal.com/compare/groq-speech-to-text-vs-mistral-voxtral-transcribe.md)
- [Groq Speech-to-Text vs OpenAI Speech to Text](https://www.anchorterminal.com/compare/groq-speech-to-text-vs-openai-speech-to-text.md)
- [Groq Speech-to-Text vs Rev AI Speech-to-Text API](https://www.anchorterminal.com/compare/groq-speech-to-text-vs-rev-ai-stt.md)
- [Groq Speech-to-Text vs Soniox Speech-to-Text](https://www.anchorterminal.com/compare/groq-speech-to-text-vs-soniox-stt.md)
- [Groq Speech-to-Text vs Speechmatics Speech-to-Text](https://www.anchorterminal.com/compare/groq-speech-to-text-vs-speechmatics-stt.md)
- [IBM Watson Speech to Text vs Smallest.ai Pulse STT](https://www.anchorterminal.com/compare/ibm-watson-stt-vs-smallest-pulse-stt.md)
- [Inworld STT vs Smallest.ai Pulse STT](https://www.anchorterminal.com/compare/inworld-stt-vs-smallest-pulse-stt.md)
- [MiniMax Speech-to-Text vs Smallest.ai Pulse STT](https://www.anchorterminal.com/compare/minimax-stt-vs-smallest-pulse-stt.md)
- [Mistral Voxtral Transcribe vs Smallest.ai Pulse STT](https://www.anchorterminal.com/compare/mistral-voxtral-transcribe-vs-smallest-pulse-stt.md)
- [OpenAI Speech to Text vs Smallest.ai Pulse STT](https://www.anchorterminal.com/compare/openai-speech-to-text-vs-smallest-pulse-stt.md)
- [Rev AI Speech-to-Text API vs Smallest.ai Pulse STT](https://www.anchorterminal.com/compare/rev-ai-stt-vs-smallest-pulse-stt.md)
- [Smallest.ai Pulse STT vs Soniox Speech-to-Text](https://www.anchorterminal.com/compare/smallest-pulse-stt-vs-soniox-stt.md)
- [Smallest.ai Pulse STT vs Speechmatics Speech-to-Text](https://www.anchorterminal.com/compare/smallest-pulse-stt-vs-speechmatics-stt.md)

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