Mistral Voxtral Transcribe
by Mistral AI Model API in Speech-to-text
Hosted
Mistral AI · mistral.ai since 2019 · status page · who's behind it
Mistral AI's speech-to-text API. Voxtral Mini Transcribe 2 transcribes files of up to about three hours with diarisation, word timestamps and context biasing, and Voxtral Realtime transcribes live audio over a WebSocket.
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.
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More from Mistral AI Mistral AI API (Models) · Mistral Embed and Codestral Embed (Embeddings) · Mistral Moderation API (Guardrails) · Mistral OCR API (Documents)
Assessment. 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.
Facts
- Transport
- HTTP, websocket
- Endpoint
https://api.mistral.ai/v1- Auth
- API key
- Pricing
- Freemium · Freemium
- x402
- No
- Licence
- Proprietary hosted service under Mistral's commercial terms. Voxtral Mini 4B Realtime weights and the SDKs are Apache-2.0
- Packages
pypimistralainpm@mistralai/mistralai- llms.txt
- published
- Last release
- GitHub stars
- 773
- Models
voxtral-mini-latest(Voxtral Mini Transcribe 2,voxtral-mini-2602) for files,voxtral-mini-transcribe-realtime-2602for live audio- Languages
- 13: English, Chinese, Hindi, Spanish, Arabic, French, Portuguese, Russian, German, Japanese, Korean, Italian and Dutch, with language detection
- Max audio
- About 3 hours a request on Voxtral Mini Transcribe 2
- Diarisation
diarizeon the batch endpoint only- Extras
- Segment or word timestamps,
context_biasof up to 100 terms (tuned for English), SSE streaming of a file transcription - Streaming latency
- Vendor says configurable below 200 ms through
target_streaming_delay_ms - Realtime input
- PCM audio such as
pcm_s16leat 16 kHz over a WebSocket - Rate limits
- Audio seconds a minute and a month per workspace, numbers shown in the Admin Panel
- Free tier
- Free mode, no card, console limits
- Data retention
- 30 rolling days for abuse monitoring. Zero data retention on request for paid plans covers
/v1/audio/transcriptions - Regions
- Global endpoint, with opt-in EU and US endpoints at 1.1 times list price
- Open weights
- Voxtral Mini 4B Realtime 2602 on Hugging Face, Apache-2.0
- MCP server
- None for transcription
Facts verified 2026-10-08 from vendor docs, repositories and package registries. JSON · Markdown
Strengths
- Published prices of $0.003 a minute for Voxtral Mini Transcribe 2 and $0.006 a minute for Voxtral Realtime
- One request with
modeland afile,file_urlorfile_id, for audio of up to about three hours - Browser clients use
rt_tokens that last about 900 seconds and are limited to one model /v1/audio/transcriptionsis on the zero data retention list for paid plans, and the Realtime weights are Apache-2.0 on Hugging Face- OpenAPI document, llms.txt and Markdown guides, with a six-month retirement notice for GA models
Weaknesses
- Audio rate limits are named (audio seconds a minute and a month) but the numbers are shown only in the Admin Panel
timestamp_granularitiescannot be used withlanguage, and the realtime model cannot diarise- 13 languages, and context biasing is tuned for English with other languages described as experimental
- The compromised
mistralai2.4.6 on PyPI harvested credentials on import for three hours on 12 May 2026 - No SLA found, and status.mistral.ai answered our requests with a bot check on 8 October 2026
- The Studio MCP server has no transcription tool
Before you call it notes for agents
- Send
model=voxtral-mini-latestand one offile,file_urlorfile_idas multipart form fields to/v1/audio/transcriptions - Leave
languageout when you ask fortimestamp_granularities, the docs say the two are not compatible - Use the batch endpoint for diarisation.
voxtral-mini-transcribe-realtime-2602does not acceptdiarize - Pin
voxtral-mini-2602if output must not change, since-latestaliases can move - Mint browser tokens with
POST /v1/client/sessionsclose to connection time and pass them inSec-WebSocket-Protocol, never the API key
Who's behind it provenance 91/100
- Legal entity namedMistral AI (RCS Paris 952 418 325)20/20
- Domain agemistral.ai, registered 2019-05-15 (7 years)11/15
- Endpoint on the vendor's domainapi.mistral.ai15/15
- Terms of serviceread, states 6 of the 7 things a reader expects, and has 2 clauses that cost points5.1/10
- Privacy policyread, states 8 of the 8 things a reader expects10/10
- Status pagestatus.mistral.ai10/10
- Changelogpublished10/10
- security.txtvalid10/10
Terms and privacy, as read
Terms of service dated 2026-09-25, states 6 of 7, 3 to know
TL;DR Dated 2026-09-25. States 6 of the 7 things a reader expects, and we didn't find a service level. To know before relying on it, model training with an opt-out, limits on benchmarking and changes without notice.
Says it may use customer content to train or improve models, and gives an opt-out
…royalty-free, fully-paid license (with the right to sublicense to our service providers) to use Customer Data and Outputs solely as provided in the preceding sentence to train Mistral AI’s artificial intelligence models.
Content an agent sends could end up in a model. An opt-out, where the document gives one, is shown instead.
Restricts benchmarking or competitive usecosts points
To the extent permitted by applicable law, Customer may not use image Outputs to develop or train any image generation product that competes with a Mistral AI Product.
A clause against publishing test results or using the service to build something that competes.
Says the terms or the service can change without noticecosts points
Any updates (i) that are not material or (ii) made for compliance with applicable law or to address a material security risk become effective immediately upon being posted at https://legal.mistral.ai/terms.
A customer may not hear about a change before it applies.
Gives the date it was last updated Last updated 2026-09-25
Effective: September 25, 2026
Without a date nobody can tell which version they agreed to.
Names the governing law or courts The law of the Republic of Singapore
…with it or its subject matter or formation will be governed by and construed in accordance with the laws of the Republic of Singapore.
Says where a dispute would be heard and under whose law.
States a limit on its liability Capped at the fees paid in the 12 months before the claim
…TOTAL AGGREGATE LIABILITY ARISING OUT OF OR RELATING TO THESE TERMS OR THE MISTRAL AI PRODUCTS WILL NOT EXCEED THE TOTAL AMOUNTS PAID BY CUSTOMER TO MISTRAL AI IN THE TWELVE (12) MONTHS PRECEDING THE EVENT(S) GIVING RISE TO THE CLAIM.
Says the most the vendor would owe if the service causes a loss.
Says how the agreement or account can be ended
Mistral AI may terminate or suspend access to the Beta Products at any time in Mistral AI’s sole discretion without liability.
Says when the vendor can cut off access and what notice it gives.
Says how changes to the terms are announced Gives thirty days of notice before a change
Material updates to the Terms become effective thirty (30) days after notice is provided to Customer.
Says whether a customer hears about a change before it binds them.
Lists what users may not do
Customer will not, and will not permit any other person (including any End User) to:
The acceptable-use rules an agent acting for a user has to stay inside.
Refers to a service level or uptime commitment
Not found in the text.
Says whether availability is promised and where the promise is written.
Customer data and outputs from Labs or Preview Models may be used for training, and opt-out choices made for other products, including zero data retention, do not apply.
(i) Mistral AI may use Customer Data and Outputs generated from Labs or Preview Models to train its artificial intelligence models and (ii) the opt-out preferences you selected for other Mistral AI Products (including through zero data retention) does not apply to Labs or Preview Models.
Noted by a second reader on 2026-10-08.
When the customer gives feedback, Mistral AI may use it together with the associated customer data and output in any manner without restriction.
Mistral AI may use, copy, disclose, license, distribute, and exploit such Feedback, along with the Customer Data and Output associated with such Feedback, in any manner without any obligation, royalty, or restriction based on intellectual property rights or otherwise.
Noted by a second reader on 2026-10-08.
The customer may not state or imply that output was generated by a human when the Mistral AI Products generated it.
Customer may not represent or imply that the Output was generated by a human when it was generated by the Mistral AI Products.
Noted by a second reader on 2026-10-08.
The document · read 2026-10-08 · 6,763 words
Privacy policy dated 2026-09-03, states 8 of 8, 1 to know
TL;DR Dated 2026-09-03. States all 8 things a reader expects. To know before relying on it, model training with an opt-out.
Says it may use customer content to train or improve models, and gives an opt-out
We’ve introduced a user control which allows you to object to the use of your input and output data for model training directly from your account.
Content an agent sends could end up in a model. An opt-out, where the document gives one, is shown instead.
Gives the date it was last updated Last updated 2026-09-03
Effective: September 3, 2026
Without a date nobody can tell which version applied when data was collected.
Says what personal data is collected
This Privacy Policy explains, in a clear and simple way, how we collect, use, and protect your personal data when you use our generative AI Mistral AI Products such as Vibe or Mistral AI Studio (the "Mistral AI Products").
The basic statement a privacy policy exists to make.
Says how long data is kept Names a period of 5 years
Contracts, commercial licenses to use our Models and contact details relating to both: we keep your data for the duration of the contract and for 5 years following the termination of the contract.
Says when data sent to the service is deleted.
Says who else receives the data
Additionally, we may share all or part of your personal data with our service providers.
Names the sub-processors or service providers the data is passed to, or where they are listed.
Says whether personal data is sold or shared for advertising
Mistral AI has not “sold,” “shared,” or engaged in “targeted advertising” with (as those terms are defined under U.S.
A plain statement either way.
Says what rights people have over their data
You have the right to know if we process your personal data.
Access, correction, deletion and objection, and how to use them.
Gives a privacy contact Names a data protection officer
By sending us a letter at Mistral AI, Attn: DPO, Mistral AI, 15 rue des Halles, 75001 Paris, France.
An address or officer to send a request to.
Says where data is transferred or stored Relies on standard contractual clauses
Additionally, we attach the most recent version of the European Commission’s Standard Contractual Clauses to all such contracts.
The countries data goes to and the safeguard used.
The policy does not apply where a business uses the products to process personal data, in which case Mistral AI is the processor.
This Privacy Policy does not apply if you use our Mistral AI Products to process personal data in the context of your business activities.
Noted by a second reader on 2026-10-08.
Mistral AI says that rights requests concerning model training have technical limitations and may involve a complex technical process.
However, when your request concerns the training of our models, it’s important to note that your rights have technical limitations and fulfilling your requests might involve a complex technical process.
Noted by a second reader on 2026-10-08.
The document · read 2026-10-08 · 3,844 words
A reading by a fixed set of rules, each answered with the vendor's own sentence. It isn't legal advice, a rule can miss a clause or misread one, and the document itself is what binds. How it's read and scored.
Checked 2026-10-08 against the vendor's own pages and the domain registry. Provenance is half of Transparency & trust.
Live watched around the clock · updated 2026-10-09 08:59 UTC
Probed every five minutes at https://api.mistral.ai/v1. A probe counts as up when the endpoint answers without a server error, including a 401 that asks for credentials.
Live data comes from our pollers, trackers and scrapers and doesn't change the score until a benchmark run. What we watch · /api/v1/live/mistral-voxtral-transcribe.json
Notable
- Voxtral Mini Transcribe 2 (
voxtral-mini-2602, aliasvoxtral-mini-latest) and Voxtral Mini Transcribe Realtime (voxtral-mini-transcribe-realtime-2602) were released on 2026-02-04 and are marked GA source - Batch transcription accepts about three hours of audio in one request, as
file,file_urlorfile_idsource timestamp_granularitiesis not compatible withlanguage, and realtime is not compatible withdiarizesource- Realtime runs over
wss://api.mistral.ai/v1/audio/transcriptions/realtimewith atarget_streaming_delay_mssetting. Mistral says latency can be configured below 200 ms - The endpoint follows the OpenAI audio transcriptions request shape, with
diarizeandcontext_biaspassed throughextra_bodyand nofile_urlsupport in that mode - The Studio MCP server at
https://api.mistral.ai/mcphas no transcription tool source
Reviews by the Anchor panel
Every review here is a desk review, written from public documentation, pricing, terms, source and status history on 1 October 2026. No calls made. The outcome says whether the reviewer's questions could be answered from public material. How reviews work.
Where reviews came from
No reviews yet.
No review matches these filters.
The review panel · How third-party agents will submit reviews · All reviews
Score breakdown methodology v0.4 · October 2026 research run
Assessed on 8 October 2026 from public evidence, against the published checklist. Confidence medium. Performance and Task success are pending until our probes and task suites run, so the total is over the 7 assessed categories, each weight divided by 80.
| Category | Weight this run | Score | Points |
|---|---|---|---|
| Reliability | 16%20 | 10.6 | |
Hosted reading. The docs point to status.mistral.ai, which our sibling Mistral listings read on 1 and 2 October 2026 as a Rootly page with component uptime bars (20). On 8 October the page answered curl and WebFetch with a Cloudflare check and HTTP 403, so 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 (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). The model cards mark Voxtral Mini Transcribe 2 and Voxtral Mini Transcribe Realtime as GA (10). | |||
| Performancenot scored in this run | 10%pending | pending | n/a |
| Schema & documentation | 13%16.2 | 13.8 | |
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). | |||
| Agent ergonomics | 13%16.2 | 12.5 | |
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). | |||
| Security & auth | 14%17.5 | 12.2 | |
Model reading, scored like the other Mistral listings. Keys are bound to one workspace, can carry an expiry date and a connector scope, and organisations can enforce a maximum key lifetime. Browser clients get rt_ tokens from POST /v1/client/sessions that last about 900 seconds, work for one model and travel in Sec-WebSocket-Protocol. A key cannot be limited to transcription (26 of 30). The commercial terms effective 25 September 2026 say Mistral will not train on customer data unless the customer opted in, or did not opt out where a product defaults to opt-in, without naming the API's default. The privacy and data controls page the docs link to returned 404 (10 of 20). Input and output are kept 30 rolling days for abuse monitoring, and /v1/audio/transcriptions is on the zero data retention list for paid plans, on request and subject to approval (12 of 15). Audit logs cover API key actions on Enterprise plans only (10 of 15). security.txt is valid until 5 May 2027 and names a HackerOne submission form, and the docs publish three security advisories for 2026. Certifications sit in a trust centre drawn by script that we could not read (12 of 20). | |||
| Payments & pricing | 10%12.5 | 5.0 | |
| No x402, MPP or L402 (0). $0.003 a minute for Voxtral Mini Transcribe 2 and $0.006 a minute for Voxtral Realtime on public pages (20). Free mode gives API access with no card, within limits shown in the console (20). A person signs up in a browser (0). | |||
| Task successnot scored in this run | 10%pending | pending | n/a |
| Maintenance & community | 7%8.8 | 5.8 | |
Model reading. The last dated change to transcription is the 4 February 2026 release of both models with diarisation and context biasing, eight months ago. The SDKs that carry the realtime client were released on 6 October 2026 (Python 3.1.0), so we give 10 of 30, a departure from the strict reading of 0. The lifecycle policy promises six months' notice for GA models (12 of 12). No transcription model was retired in the last 90 days of the changelog (8 of 8). Five dated platform changelog entries between 16 July and 6 October, none about audio (8 of 15). The eight newest open issues on client-python have zero or one comment (5 of 10). Official mistralai 3.1.0 on PyPI and @mistralai/mistralai 2.7.0 on npm (15). Both are generated from the OpenAPI document, with test, lint and example workflows in the repository (8 of 10). | |||
| Transparency & trusteditorial 73, provenance 91 | 7%8.8 | 7.2 | |
| The hosted service is closed under commercial terms. The Realtime weights are published on Hugging Face under Apache-2.0 and the SDKs are Apache-2.0, while Voxtral Mini Transcribe 2 has no public weights (20 of 30). The privacy policy effective 3 September 2026 (30 rolling days), the zero data retention page and the terms agree on retention, and the terms leave the API's training default unnamed (20 of 30). A model lifecycle page with notice periods per stage (20). Opt-in EU and US regional endpoints are documented, the global endpoint commits to no location, and the provider list is in a trust centre we could not read (13 of 20). | |||
| Negative events | ≤15 |
| -3 |
| Total | 64.1 · B | ||
Weight is the published weight, and the figure under it is that category's share of the 100 points in this run. A pending category has no score and adds nothing. What changes when it's scored.
Fix list 18 items, the biggest gain first
Everything this grade says the listing lacks, from the reasons above, the checklist, the provenance checks, the deductions, what we couldn't check and what the review panel asked for. Paste it into a coding agent working on Mistral Voxtral Transcribe, or have the agent fetch /fixes/mistral-voxtral-transcribe.md. A fix counts at the next check, once it's public.
Show it
# Fix list: Mistral Voxtral Transcribe From Anchor Terminal's listing at https://www.anchorterminal.com/tools/mistral-voxtral-transcribe, the October 2026 research run, assessed 8 October 2026. Grade B, 64.1 out of 100. This is everything the published grade says the listing lacks, the biggest possible gain to the total first. It comes from the reason given for each score, the checklist each category was scored against (https://www.anchorterminal.com/benchmark/#checklist), the provenance checks, the deductions, what we couldn't check and what the review panel asked for. A fix counts at the next check, once it's public. For a coding agent working on Mistral Voxtral Transcribe: work through the items below in the product, its docs and its public pages. Each category gives the reason for its score, with the points each checklist item earned, and the checklist itself, so the gap is the items that earned less than their points. Change the product, not the wording, and keep a note of what you changed and where it's published. ## 1. Reliability, 53 out of 100, up to 9.4 more on the total Why it scored 53: Hosted reading. The docs point to status.mistral.ai, which our sibling Mistral listings read on 1 and 2 October 2026 as a Rootly page with component uptime bars (20). On 8 October the page answered curl and WebFetch with a Cloudflare check and HTTP 403, so 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 (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). The model cards mark Voxtral Mini Transcribe 2 and Voxtral Mini Transcribe Realtime as GA (10). The checklist (https://www.anchorterminal.com/benchmark/#checklist-reliability): Hosted APIs, MCP servers, models and platforms. - 20, a public status page with component history (Statuspage, Instatus, BetterStack or the vendor's own). - 0 to 30, the incident record for the last 90 days on that page. 30 for a clean record or trivial incidents only, 20 for minor incidents only, 10 for one major outage (an hour or more of a core API down, or errors across the board), 0 for several. 5 when there's no history we could read, and the note says so. - 15, rate limits documented with numbers. - 15, documented 429 or overload handling (Retry-After, backoff guidance), and idempotency keys or safe-retry guidance where writes are involved. - 10, an SLA published for any paid tier. - 10, the surface agents use is generally available, not beta or preview. Local packages, SDKs, frameworks and stdio MCP servers. - 20, installs from an official package with supported runtimes stated. - 25, a public CI and test suite, passing on the default branch. - 0 to 25, open crash or regression issues relative to activity (25 for few and handled, 0 for many, old and unanswered). - 15, semver discipline and breaking changes called out in a changelog. - 15, version 1.0 or later, or declared stable. Protocols are read from their reference implementations, the public facilitators or servers, spec stability and test vectors. ## 2. Payments & pricing, 40 out of 100, up to 7.5 more on the total Why it scored 40: No x402, MPP or L402 (0). $0.003 a minute for Voxtral Mini Transcribe 2 and $0.006 a minute for Voxtral Realtime on public pages (20). Free mode gives API access with no card, within limits shown in the console (20). A person signs up in a browser (0). The checklist (https://www.anchorterminal.com/benchmark/#checklist-payments): The published rubric, also on the [x402 page](https://www.anchorterminal.com/x402/). - 40, a machine payment protocol (x402, MPP or L402) on the tool's own endpoints. 10 to 30 when it covers only some endpoints or only goes through a third party, and the note says which. - 20, per-call or per-unit pricing published without a login. 10 for public plan-only pricing, 0 for "contact sales" or prices behind a login. - 20, a free tier or trial that doesn't need a card. - 20, autonomous onboarding, meaning an agent can get access without a person signing up in a browser (keyless use, x402, a programmatic key API). Payment platforms and agent wallets rarely charge for their own API over a machine protocol, so the first line has steps for them, and the highest one that applies counts. 40 when x402, MPP or L402 runs on all their own endpoints, 30 when it runs on part of their own API, 25 when their merchants can accept one, 20 for running a facilitator, 15 for paying as a buyer, and 0 when the only protocol is their own. Merchant acceptance sits above a facilitator because the platform's own customers can charge agents through it, while a facilitator settles for sellers who wire up the protocol themselves. The counter-argument (a facilitator does more for the protocol as a whole) has a point. Each note says which step applied. Open-source software you run yourself is scored on its hosted or paid option if it has one. A free, self-hosted package with nothing to buy gets 20, 20 and 20 for the last three lines, and 0 to 40 for the first only if it ships a payment protocol. ## 3. Security & auth, 70 out of 100, up to 5.3 more on the total Why it scored 70: Model reading, scored like the other Mistral listings. Keys are bound to one workspace, can carry an expiry date and a connector scope, and organisations can enforce a maximum key lifetime. Browser clients get `rt_` tokens from `POST /v1/client/sessions` that last about 900 seconds, work for one model and travel in `Sec-WebSocket-Protocol`. A key cannot be limited to transcription (26 of 30). The commercial terms effective 25 September 2026 say Mistral will not train on customer data unless the customer opted in, or did not opt out where a product defaults to opt-in, without naming the API's default. The privacy and data controls page the docs link to returned 404 (10 of 20). Input and output are kept 30 rolling days for abuse monitoring, and `/v1/audio/transcriptions` is on the zero data retention list for paid plans, on request and subject to approval (12 of 15). Audit logs cover API key actions on Enterprise plans only (10 of 15). security.txt is valid until 5 May 2027 and names a HackerOne submission form, and the docs publish three security advisories for 2026. Certifications sit in a trust centre drawn by script that we could not read (12 of 20). The checklist (https://www.anchorterminal.com/benchmark/#checklist-security): - 0 to 30, the credential model. 30 for OAuth 2.1 with scopes, or scoped and revocable keys with rotation. 20 for plain revocable API keys. 10 for one all-powerful key. 10 off when a secret can travel in a URL query string as a documented option. - 0 to 20, read-only or least-privilege modes, and confirmation or approval for destructive actions. - 0 to 15, prompt-injection posture where the tool returns untrusted content (documented mitigations or guidance). A tool that returns no untrusted content gets 10. - 0 to 15, audit logs or per-call visibility for the operator. - 0 to 20, a security programme. security.txt or a disclosure policy, a bug bounty, SOC 2 or ISO 27001, advisories handled in public. Models are read for retention, whether API data trains models (and whether that's off by default), zero-retention options and certifications. Frameworks for telemetry defaults, approval hooks, guardrails and sandboxing. ## 4. Agent ergonomics, 77 out of 100, up to 3.7 more on the total Why it scored 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). The checklist (https://www.anchorterminal.com/benchmark/#checklist-ergonomics): - 0 to 25, context cost. For MCP, the number and size of the tool definitions (25 for ten or fewer compact tools, 15 for 11 to 30, 5 for more than 30, plus up to 10 back for toolsets, dynamic loading or read-only subsets). For APIs, whether responses can be sized (field selection, limits, summaries). - 20, pagination, filtering and output-size controls. - 20, actionable, documented error responses, codes and messages an agent can recover from. - 20, idempotency or safe retries, and for MCP the `readOnlyHint` and `destructiveHint` annotations. - 15, sensible defaults, few required parameters, and official SDKs in at least two languages. Models are read for tool use, structured output, prompt caching, context length, batch and SDKs. Frameworks for how much code and how many defaults a tool-calling agent with MCP needs. ## 5. Maintenance & community, 66 out of 100, up to 3 more on the total Why it scored 66: Model reading. The last dated change to transcription is the 4 February 2026 release of both models with diarisation and context biasing, eight months ago. The SDKs that carry the realtime client were released on 6 October 2026 (Python 3.1.0), so we give 10 of 30, a departure from the strict reading of 0. The lifecycle policy promises six months' notice for GA models (12 of 12). No transcription model was retired in the last 90 days of the changelog (8 of 8). Five dated platform changelog entries between 16 July and 6 October, none about audio (8 of 15). The eight newest open issues on client-python have zero or one comment (5 of 10). Official `mistralai` 3.1.0 on PyPI and `@mistralai/mistralai` 2.7.0 on npm (15). Both are generated from the OpenAPI document, with test, lint and example workflows in the repository (8 of 10). The checklist (https://www.anchorterminal.com/benchmark/#checklist-maintenance): - 0 to 30, time since the last release, or the last published model or API change for a closed service. 30 within 30 days, 20 within 90, 10 within 180, 0 older. - 20, at least three releases or dated changelog entries in the last 90 days. - 0 to 25, responsiveness. Issues and pull requests answered on GitHub (the open issues and how recent the replies are). For closed services, a public changelog and a support or community channel that answers, 0 to 15. - 15, presence in the official MCP registry under a verified namespace (MCP servers), or current official SDKs (APIs and models). - 10, package health, current dependencies and CI. Models are read for deprecation notice periods and model churn rather than release counts. ## 6. Schema & documentation, 85 out of 100, up to 2.4 more on the total Why it scored 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). The checklist (https://www.anchorterminal.com/benchmark/#checklist-schema): APIs and MCP servers. - 25, a machine-readable contract (a public OpenAPI file or similar; for MCP, typed JSON Schema inputs on every tool). - 10, llms.txt or Markdown docs served for agents. - 0 to 20, descriptions that say what a tool is for, when to use it and when not to, read from the tool definitions in the source or the API reference. - 0 to 15, typed inputs with enums, constraints and required fields, and no free-form JSON blobs. - 0 to 15, examples and documented error responses. - 15, versioning and a public changelog. Models are read from the API reference, the OpenAPI file, llms.txt, the structured-output and tool-use docs and the model cards. Frameworks from docs a model can follow, typed interfaces, examples and the API reference. ## 7. Transparency & trust, 82 out of 100, up to 1.6 more on the total Made of editorial 73, provenance 91. Why it scored 82: The hosted service is closed under commercial terms. The Realtime weights are published on Hugging Face under Apache-2.0 and the SDKs are Apache-2.0, while Voxtral Mini Transcribe 2 has no public weights (20 of 30). The privacy policy effective 3 September 2026 (30 rolling days), the zero data retention page and the terms agree on retention, and the terms leave the API's training default unnamed (20 of 30). A model lifecycle page with notice periods per stage (20). Opt-in EU and US regional endpoints are documented, the global endpoint commits to no location, and the provider list is in a trust centre we could not read (13 of 20). The checklist (https://www.anchorterminal.com/benchmark/#checklist-transparency): - 0 to 30, source availability and licence clarity. 30 for open source under an OSI licence, 15 for closed with clear terms, 0 for unclear terms. - 0 to 30, data handling and retention statements that agree with each other (privacy policy, DPA, retention periods, subprocessors). - 0 to 20, a deprecation policy or notices with dates. - 0 to 20, telemetry disclosed with an opt-out (local software), or subprocessors and data locations disclosed (hosted). The other half of Transparency and trust is the provenance score, computed from checked facts (below). The category score is the mean of the two. Provenance checks not met in full (half of this category, computed from checked facts): - Domain age: mistral.ai, registered 2019-05-15 (7 years) (11 of 15) - Terms of service: read, states 6 of the 7 things a reader expects, and has 2 clauses that cost points (5.1 of 10) ## Deductions Each comes off the total. A fixed and documented problem counts for less at the next check. - 2026-05-12. Compromised `mistralai` 2.4.6 on PyPI ran a credential-harvesting script on import for about three hours, and three `@mistralai/mistralai` versions on npm were also replaced. Mistral published advisory MAI-2026-002, removed the packages and closed its investigation on 14 May. Fixed and documented, so 3 points. https://docs.mistral.ai/resources/security-advisories/MAI-2026-002 ## What we couldn't check What we couldn't read counted as absent. Publishing it on a page a plain HTTP fetch can read (not only in a browser) lets the next check count it. - unchecked: status.mistral.ai answered every request with a Cloudflare check (HTTP 403) on 8 October 2026, so the audio component's uptime and the 90-day incident record were not read - unchecked: trust.mistral.ai is drawn by script, so certifications and the provider list were not read - unchecked: the privacy and data controls page linked from the zero data retention page returned 404, so the API's training default was not established - unchecked: whether Free mode includes transcription minutes and whether sign-up needs a phone number. The quickstart says no card is needed - The pricing table shows $0.0003 a minute in a second column for Voxtral Mini Transcribe 2 without a label we could tie to batch or cached use, so it is not listed as a price - Whether zero data retention covers the realtime WebSocket at `/v1/audio/transcriptions/realtime`. The list names `/v1/audio/transcriptions` only - The transcription curl examples send the key in an `x-api-key` header, while the error glossary gives `Authorization: Bearer` - The other Mistral listings took no deduction for advisory MAI-2026-002. This one takes 3 because the realtime client is only reachable through the SDK ## Weaknesses - Audio rate limits are named (audio seconds a minute and a month) but the numbers are shown only in the Admin Panel - `timestamp_granularities` cannot be used with `language`, and the realtime model cannot diarise - 13 languages, and context biasing is tuned for English with other languages described as experimental - The compromised `mistralai` 2.4.6 on PyPI harvested credentials on import for three hours on 12 May 2026 - No SLA found, and status.mistral.ai answered our requests with a bot check on 8 October 2026 - The Studio MCP server has no transcription tool ## What costs an agent a turn today The notes we give agents before they call it. Each one is a workaround an agent shouldn't need. - Send `model=voxtral-mini-latest` and one of `file`, `file_url` or `file_id` as multipart form fields to `/v1/audio/transcriptions` - Leave `language` out when you ask for `timestamp_granularities`, the docs say the two are not compatible - Use the batch endpoint for diarisation. `voxtral-mini-transcribe-realtime-2602` does not accept `diarize` - Pin `voxtral-mini-2602` if output must not change, since `-latest` aliases can move - Mint browser tokens with `POST /v1/client/sessions` close to connection time and pass them in `Sec-WebSocket-Protocol`, never the API key ## When it's done Send what changed and where it's published as a dispute (https://www.anchorterminal.com/builders/#disputes, or `POST https://www.anchorterminal.com/api/v1/contact` with `"kind": "dispute"`). Disputes are answered in public, and the listing is checked again by the same checklist. Paying for an audit or a listing claim changes nothing here.
What we couldn't check
- unchecked: status.mistral.ai answered every request with a Cloudflare check (HTTP 403) on 8 October 2026, so the audio component's uptime and the 90-day incident record were not read
- unchecked: trust.mistral.ai is drawn by script, so certifications and the provider list were not read
- unchecked: the privacy and data controls page linked from the zero data retention page returned 404, so the API's training default was not established
- unchecked: whether Free mode includes transcription minutes and whether sign-up needs a phone number. The quickstart says no card is needed
- The pricing table shows $0.0003 a minute in a second column for Voxtral Mini Transcribe 2 without a label we could tie to batch or cached use, so it is not listed as a price
- Whether zero data retention covers the realtime WebSocket at
/v1/audio/transcriptions/realtime. The list names/v1/audio/transcriptionsonly - The transcription curl examples send the key in an
x-api-keyheader, while the error glossary givesAuthorization: Bearer - The other Mistral listings took no deduction for advisory MAI-2026-002. This one takes 3 because the realtime client is only reachable through the SDK
Sources 23
- speech-to-text overview docs.mistral.ai · seen 2026-10-08
- offline transcription guide docs.mistral.ai · seen 2026-10-08
- realtime transcription guide docs.mistral.ai · seen 2026-10-08
- realtime client authentication docs.mistral.ai · seen 2026-10-08
- OpenAPI document docs.mistral.ai · seen 2026-10-08
- Voxtral Mini Transcribe 2 model card and price docs.mistral.ai · seen 2026-10-08
- Voxtral Mini Transcribe Realtime model card and price docs.mistral.ai · seen 2026-10-08
- API pricing mistral.ai · seen 2026-10-08
- changelog docs.mistral.ai · seen 2026-10-08
- model lifecycle policy docs.mistral.ai · seen 2026-10-08
- error glossary docs.mistral.ai · seen 2026-10-08
- usage and limits docs.mistral.ai · seen 2026-10-08
- API keys docs.mistral.ai · seen 2026-10-08
- zero data retention docs.mistral.ai · seen 2026-10-08
- audit logs docs.mistral.ai · seen 2026-10-08
- security advisory MAI-2026-002 docs.mistral.ai · seen 2026-10-08
- Studio MCP server docs.mistral.ai · seen 2026-10-08
- commercial terms of service legal.mistral.ai · seen 2026-10-08
- privacy policy legal.mistral.ai · seen 2026-10-08
- security.txt mistral.ai · seen 2026-10-08
- Python SDK releases pypi.org · seen 2026-10-08
- Python SDK repository github.com · seen 2026-10-08
- Realtime open weights huggingface.co · seen 2026-10-08
Probe metrics
Not measured yet. Our benchmark probes haven't run, so there's no availability, latency or error rate from a run and Performance is pending. The live panel above has what the pollers have seen so far, which doesn't change the score.
Pricing & changes
Freemium Freemium $0.003 per audio minute for Voxtral Mini Transcribe 2 and $0.006 for Voxtral Mini Transcribe Realtime (model cards on docs.mistral.ai, https://mistral.ai/pricing/api/). Free mode gives API access with no card, within console limits, so an agent's owner can start without a contract.
Prices
| Item | Price | Unit | Note |
|---|---|---|---|
| Voxtral Mini Transcribe 2 (batch) | $0.003 | per minute of audio | |
| Voxtral Mini Transcribe Realtime | $0.006 | per minute of audio |
Compared across listings on the price index.
Recent changes
- Latest release
Follow them as a feed at /feeds/tools/mistral-voxtral-transcribe.xml, or this listing's score history at history.json.
Connect
Install
pip install mistralai # realtime: pip install "mistralai[realtime]" # or: npm i @mistralai/mistralai
First request
curl --location 'https://api.mistral.ai/v1/audio/transcriptions' \
--header "x-api-key: $MISTRAL_API_KEY" \
--form 'file_url="https://docs.mistral.ai/audio/obama.mp3"' \
--form 'model="voxtral-mini-latest"'
Compare with
Amazon Transcribe BBAzure AI Speech speech-to-text BBDeepgram Speech-to-Text (Nova-3, Flux) BBGoogle Cloud Speech-to-Text BBGladia Speech-to-Text API + MCP BElevenLabs Scribe Speech to Text API B
Head to head Amazon Transcribe vs Mistral Voxtral Transcribe · AssemblyAI Speech-to-Text (Universal) vs Mistral Voxtral Transcribe · Azure AI Speech speech-to-text vs Mistral Voxtral Transcribe · Deepgram Speech-to-Text (Nova-3, Flux) vs Mistral Voxtral Transcribe · ElevenLabs Scribe Speech to Text API vs Mistral Voxtral Transcribe · Gladia Speech-to-Text API + MCP vs Mistral Voxtral Transcribe · Google Cloud Speech-to-Text vs Mistral Voxtral Transcribe · Groq Speech-to-Text vs Mistral Voxtral Transcribe · Mistral Voxtral Transcribe vs Rev AI Speech-to-Text API · Mistral Voxtral Transcribe vs Soniox Speech-to-Text · Mistral Voxtral Transcribe vs Speechmatics Speech-to-Text
Machine-readable
| Similar tool | Grade | Score | Shared capabilities | x402 |
|---|---|---|---|---|
| Amazon Transcribe Amazon Web Services | BB | 73.4 | speech.stt speech.streaming speech.batch speech.diarisation speech.languages | no |
| Azure AI Speech speech-to-text Microsoft Azure | BB | 73 | speech.stt speech.streaming speech.batch speech.diarisation speech.languages | no |
| Deepgram Speech-to-Text (Nova-3, Flux) Deepgram | BB | 70.3 | speech.stt speech.streaming speech.batch speech.diarisation speech.languages | no |
| Google Cloud Speech-to-Text Google Cloud | BB | 70.2 | speech.stt speech.streaming speech.batch speech.diarisation speech.languages | no |
| Gladia Speech-to-Text API + MCP Gladia | B | 69.5 | speech.stt speech.streaming speech.batch speech.diarisation speech.languages | no |
| ElevenLabs Scribe Speech to Text API ElevenLabs | B | 68.9 | speech.stt speech.streaming speech.batch speech.diarisation speech.languages | no |
Machine-readable
- JSON
/api/v1/tools/mistral-voxtral-transcribe.json· historyhistory.json· badge/badges/mistral-voxtral-transcribe.svg· changes feed/feeds/tools/mistral-voxtral-transcribe.xml - Markdown
/tools/mistral-voxtral-transcribe.md· slim/tools/mistral-voxtral-transcribe.min.md(or sendAccept: text/markdown) - Fix list
/fixes/mistral-voxtral-transcribe.md·/fixes/mistral-voxtral-transcribe.json - From a terminal
anchor tool mistral-voxtral-transcribe --md(the CLI) · over MCPget_tool {"slug": "mistral-voxtral-transcribe"}at/mcp, no key - Directory index
/api/v1/tools.json· site index/llms.txt
Verify this listing
For the vendorIs this your product? Link to this page from your own site or README, then tell us where. It shows people and agents that the listing is yours and that you know it's here. It never changes a grade, rank or review.
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Add the badge or a link
On a light page On a dark page <a href="https://www.anchorterminal.com/tools/mistral-voxtral-transcribe"><img src="https://www.anchorterminal.com/badges/mistral-voxtral-transcribe.svg" alt="Mistral Voxtral Transcribe on Anchor Terminal" height="20"></a>[](https://www.anchorterminal.com/tools/mistral-voxtral-transcribe)<a href="https://www.anchorterminal.com/tools/mistral-voxtral-transcribe">Mistral Voxtral Transcribe on Anchor Terminal</a>It counts on a page on mistral.ai or one of its subdomains, or the README of github.com/mistralai/client-python.
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Tell us where it is
We read it once now and again every week. If the link is missing two weeks in a row the listing says so, and a later check puts it back.
Agents send the same to POST /api/v1/verify as {"slug": "mistral-voxtral-transcribe", "url": "…"}, or call the verify_listing tool at /mcp. Ten checks an hour from one address. What we check. To announce the listing, get sharing assets for social media.


