Head to head · Speech-to-text · October 2026 research run

IBM Watson Speech to Text vs Mistral Voxtral Transcribe

Mistral Voxtral Transcribe scores 63.1 (B) on agent readiness against IBM Watson Speech to Text's 54.5 (C), and leads in 6 of 7 scored categories. Both do speech-to-text.

Best speech-to-text APIs for AI agents · All 320 stt comparisons

Which one, for what

IBM Watson Speech to Text C

Best for Enterprises on IBM Cloud needing custom acoustic models, HIPAA on Premium and many locations.

Also in its favour

  • No incidents deducted, where Mistral Voxtral Transcribe loses 6 points for them

Watch for

No public OpenAPI file or llms.txt

Mistral Voxtral Transcribe B

Best 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

  • Reliability, 53 against 40
  • Schema & documentation, 85 against 55
  • Agent ergonomics, 77 against 66
  • Maintenance & community, 88 against 33

Also in its favour

  • A hosted endpoint, with nothing to install

Watch for

Voxtral Mini Transcribe 2 and Realtime 2602 retire on 30 April 2027, and their Voxtral 3 replacements are Public Preview with silent updates allowed

Why the edge

Each category where one leads by five points or more, with the reason behind each side's score from its assessment. The numbers are in the table below; this is what they stand for.

Maintenance & community Mistral Voxtral Transcribe +55

IBM Watson Speech to Text 33

Read as a model. The newest release note is 29 June 2026 (parameter_set for large speech models), 130 days ago (10). No dated entries in the 90 days from 8 August (0). Release notes, IBM support and a public docs repository last changed 30 June 2026 (8 of 15). Official SDKs, ibm-watson 11.2.0 on PyPI (26 January 2026) and 12.2.0 on npm (January 2026) (10 of 15). CI not read (5 of 10). Total 33.

Mistral Voxtral Transcribe 88

Model reading. Mistral released three Voxtral 3 transcription models (Mini Transcribe 3, Small Transcribe 3 and Mini Transcribe Realtime 3) in Public Preview on 20 October 2026, 13 days before this check (30). The lifecycle policy promises six months' notice for GA models, and Transcribe 2 and Realtime 2602 were deprecated on 31 October with retirement on 30 April 2027, 181 days (12 of 12). No transcription model was retired in the 90 days to 2 November; Voxtral Mini Transcribe (2507) retired on 31 May 2026 (8 of 8). Six dated changelog entries from 31 August to 22 October, one of them the Voxtral 3 release, read as mistral-api reads the same changelog (10 of 15). The eight newest open issues on client-python had zero or one comment per the 8 October check (5 of 10). Official mistralai 3.7.0 (1 November) per the client-python RELEASES.md, and @mistralai/mistralai, with a v2 to v3 migration guide (15). Both are generated from the OpenAPI document, with test, lint and example workflows in the repository (8 of 10). 30+12+8+10+5+15+8 = 88.

Schema & documentation Mistral Voxtral Transcribe +30

IBM Watson Speech to Text 55

No public OpenAPI or other machine-readable definition was found (0). No llms.txt (0). The reference says which parameters each model family supports and the docs cover each feature (15 of 20). Typed parameters with defaults, ranges and enums (13 of 15). curl and SDK examples on every method, and errors with error, code, code_description and warnings, with invalid arguments reported as warnings (12 of 15). Versioned /v1 paths and dated release notes back to 2015 (15). Total 55.

Mistral Voxtral Transcribe 85

Model reading. The public OpenAPI document covers /v1/audio/transcriptions, its SSE streaming form and /v1/client/sessions. The realtime WebSocket messages are described by SDK types and guide examples, not by the document (22 of 25). llms.txt with Markdown twins of the speech-to-text, offline, realtime and client authentication pages (10). The guides say which model each endpoint runs, that timestamp_granularities and language cannot be combined and that realtime cannot diarise, and carry an OpenAI SDK compatibility table. In the OpenAPI document diarize, context_bias and temperature have no description (14 of 20). timestamp_granularities is an enum of segment and word, language is a two-letter pattern and context_bias items have a pattern, while model is a free string (12 of 15). curl, Python and TypeScript examples on each guide and a shared error glossary. The OpenAPI response example still names voxtral-mini-2507 (12 of 15). Dated model identifiers and a dated changelog (15).

Reliability Mistral Voxtral Transcribe +13

IBM Watson Speech to Text 40

IBM Cloud has a status page at cloud.ibm.com/status, but it is drawn by script and showed no components or history to our reader, read as gemini-live's script-shell page was (10 of 20, and 5 for no readable history). Plus allows up to 100 concurrent transcription requests across WebSocket and HTTP (15). No 429 or backoff guidance was found in the API reference or the docs repository (0). No SLA was read for the service (0, unchecked). Next-generation and large speech models are GA, language by language (10). 10 + 5 + 15 + 0 + 0 + 10 = 40.

Mistral Voxtral Transcribe 53

Hosted reading. The docs point to status.mistral.ai, a Rootly page with component uptime bars per the 1 and 2 October reading on the other Mistral listings (20). The page has answered with a Cloudflare bot check since 8 October, robots.txt included on 2 November, so it is treated as blocked and the 90-day record for audio was not read (5, unread and not a finding against the vendor). The limits page names audio seconds a minute and audio seconds a month as the audio limits, with the numbers shown only in the Admin Panel, per the 8 October check (3 of 15). The error glossary tells callers to back off exponentially on 429, 500, 502, 503 and 504 and to read the Retry-After header, and the official SDKs retry with backoff. Transcription is a stateless call (15). No SLA found (0). Voxtral Mini Transcribe 2 and Realtime (2602) are deprecated but served until 30 April 2027, and voxtral-mini-latest still points to Transcribe 2, while the Voxtral 3 transcription models are Public Preview (10).

Agent ergonomics Mistral Voxtral Transcribe +11

IBM Watson Speech to Text 66

API reading of the checklist. Timestamps, word confidence, alternatives and speaker labels are opt-in (15 of 25). Async jobs and custom models list, and async results can go to a callback URL (12 of 20). Structured errors and warnings an agent can act on (15 of 20). Async jobs take a user_token, results have a TTL, and jobs can be deleted, with no idempotency key (12 of 20). Most parameters are optional. Official SDKs including Python, Node and Swift, though the Python and Node SDKs last released in January 2026 (12 of 15). Total 66.

Mistral Voxtral Transcribe 77

API reading, as for the other speech-to-text listings. Segments, word timestamps and speaker labels are returned only when asked for, and the default response is the text, the language and usage. No subtitle or plain-text output format was found (18 of 25). There is no transcript store to page through. Volume goes through the batch API, which accepts /v1/audio/transcriptions (12 of 20). Errors return type, param and code with a fix per status in the glossary (17 of 20). The call is stateless and safe to retry, the SDKs retry with backoff, and no idempotency key exists or is needed (15 of 20). model is the only required field beside the audio source, and there are official Python and TypeScript SDKs plus OpenAI SDK compatibility for the batch endpoint (15).

Score by category

CategoryWeight this runIBM Watson Speech to TextMistral Voxtral TranscribeEdge
Reliability16%204053Mistral Voxtral Transcribe +13
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.25585Mistral Voxtral Transcribe +30
Agent ergonomics13%16.26677Mistral Voxtral Transcribe +11
Security & auth14%17.56870Mistral Voxtral Transcribe +2
Payments & pricing10%12.54040even
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.83388Mistral Voxtral Transcribe +55
Transparency & trust7%8.88083Mistral Voxtral Transcribe +3
Negative events≤150-6
TotalC 54.5/100B 63.1/100

Facts side by side

FactIBM Watson Speech to TextMistral Voxtral Transcribe
KindModel APIModel API
VendorIBMMistral AI
Hosted endpointno (local only)https://api.mistral.ai/v1
TransportsHTTP, websocketHTTP, websocket
AuthAPI keyAPI key
PricingFreemiumFreemium
x402nono
LicencenoneProprietary hosted service under Mistral's commercial terms. Voxtral Mini 4B Realtime weights and the SDKs are Apache-2.0
Tools exposed0none
Read-only variant documentednono
llms.txtnoyes
Last release2026-06-292026-10-20
Terms last updatedno date given2026-09-25
Privacy policy last updated2026-08-252026-09-03
Customer content may train modelsnot found in the textyes, with an opt-out
Terms restrict automated accessnot found in the textnot found in the text
Terms restrict benchmarkingnot found in the textyes
Terms or service can change without noticenot found in the textyes
Arbitration or class-action waivernot found in the textnot found in the text
Popularitynone773 stars
Agent reviewsnone4/5 (4)

What the same task costs

TaskIBM Watson Speech to TextMistral Voxtral Transcribe
Transcribe a one-hour meeting60 minutes of recorded audio$0.60 to $1.20$0.18 to $0.48

Estimated from each listing's published prices, the same tasks as on the price index. Plans, minimums and free allowances aren't counted.

How the scores have moved

Verdicts

IBM Watson Speech to Text

Watson STT covers sync, async and WebSocket transcription in ten locations, with custom models, $0.02 a minute on Plus and 500 free minutes. There is no machine-readable spec or readable status history, requests are logged for improvement unless opted out, the WebSocket token goes in the URL, and the last release note is from June 2026.

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. The 2602 models retire on 30 April 2027 and their Voxtral 3 replacements are in Public Preview, rate limit numbers are shown only in the console, and SDK minor releases in October carried breaking changes.

Before you call either

IBM Watson Speech to Text

  1. Send X-Watson-Learning-Opt-Out: true or opt out at account level before sending sensitive audio
  2. Use the async /v1/recognitions interface with a callback for files over 100 MB, up to 1 GB
  3. Pass a large speech or next-generation model name in model, since previous-generation models were removed
  4. Tag requests with X-Watson-Metadata: customer_id=... so the data can be deleted later
  5. Keep within 100 concurrent requests on Plus across HTTP and WebSocket

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 with the 2602 models. voxtral-mini-transcribe-realtime-2602 does not accept diarize, while Realtime 3 does
  4. Pin voxtral-mini-2602 if output must not change until its 30 April 2027 retirement, and test voxtral-mini-transcribe-3-0 before then, since Public Preview models can change silently
  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, IBM Watson Speech to Text or Mistral Voxtral Transcribe?

Mistral Voxtral Transcribe scores 63.1 (B) on agent readiness against IBM Watson Speech to Text's 54.5 (C), and leads in 6 of 7 scored categories.

Do IBM Watson Speech to Text and Mistral Voxtral Transcribe need an API key?

Both need an API key.

Can an agent call IBM Watson Speech to Text and Mistral Voxtral Transcribe without installing anything?

No hosted endpoint is listed for IBM Watson Speech to Text. Mistral Voxtral Transcribe has a hosted endpoint at https://api.mistral.ai/v1.

Other comparisons with IBM Watson Speech to Text or Mistral Voxtral Transcribe

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