{ "data": { "a": { "slug": "cartesia-ink-stt", "name": "Cartesia Ink", "vendor": "Cartesia", "vendorUrl": "https://www.cartesia.ai", "kind": "model", "category": "speech-to-text", "summary": "Cartesia's hosted speech-to-text API. Ink 2 transcribes live audio in five languages over a WebSocket with built-in turn detection, and the older Ink Whisper model transcribes uploaded files in about 100 languages.", "url": "https://www.anchorterminal.com/tools/cartesia-ink-stt", "markdownUrl": "https://www.anchorterminal.com/tools/cartesia-ink-stt.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/cartesia-ink-stt.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/cartesia-ink-stt.json", "repo": "https://github.com/cartesia-ai/cartesia-python", "license": "Proprietary hosted service under the Cartesia Terms of Service. The Python and JavaScript SDKs are Apache-2.0", "transports": [ "http", "websocket", "streamable-http" ], "remoteUrl": "https://api.cartesia.ai", "packages": [ { "registry": "pypi", "name": "cartesia" }, { "registry": "npm", "name": "@cartesia/cartesia-js" }, { "registry": "pypi", "name": "cartesia-mcp" } ], "auth": "api-key", "authNotes": "Self-serve API key (`sk_car_...`) from the Playground at play.cartesia.ai/keys, sent as `Authorization: Bearer` or `X-API-Key`. Browser clients use an access token with an `stt` grant, valid for at most one hour, passed as the `access_token` query parameter on WebSockets. Usage and key-metadata endpoints need a separate admin key (https://docs.cartesia.ai/use-the-api/api-conventions).", "pricing": "freemium", "pricingNotes": "Billed in credits. `ink-2` costs 3 credits a second of audio on both realtime endpoints, silence included. `ink-whisper` costs 1 credit a second in realtime and 1 credit per 2 seconds in batch (https://docs.cartesia.ai/pricing). Plans are Free ($0, 20,000 credits a month), Pro ($5, 100,000), Startup ($49, 1.25 million) and Scale ($299, 8 million), so an agent's owner can start without a contract. Commercial use starts at Pro (https://www.cartesia.ai/pricing).", "priceSummary": "Freemium", "where": "hosted", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the docs index, the pricing pages or the STT reference (checked 2026-10-09).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": 134, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-10-09" }, "docsUrl": "https://docs.cartesia.ai/use-the-api/stt/compare-endpoints", "llmsTxt": "https://docs.cartesia.ai/llms.txt", "openapi": "https://docs.cartesia.ai/latest.yml", "capabilities": [ "speech.stt", "speech.streaming", "speech.batch", "speech.languages" ], "tags": [ "official", "hosted", "model", "closed-source", "streaming", "batch", "free-tier", "python", "typescript", "openapi", "llms-txt", "mcp", "status-page", "security-txt", "soc2", "enterprise" ], "lastRelease": "2026-09-17", "graded": true, "anchor": { "graded": true, "score": 67.9, "grade": "B", "agentReady": false, "rank": 238, "ranked": true, "rankOf": 950, "categoryRank": 9, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 74, "maintenance": 85, "payments": 35, "reliability": 73, "schema": 89, "security": 52, "transparency": 67 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-09" }, "negative": 0, "verdict": "Ink 2 streams transcripts with turn detection built into the model, documented by an AsyncAPI file with typed ranges and structured errors. The terms, last revised 14 June 2024, let Cartesia train on inputs and outputs unless the customer opts out, and zero data retention is an Enterprise setting. Ink 2 has no batch endpoint and no diarisation.", "bestFor": "Suited to voice agents that need turn detection and transcription from one model in English, French, Hindi, Japanese or Spanish, and to teams already using Cartesia text-to-speech.", "strengths": [ "`/stt/turns/websocket` emits `turn.start`, `turn.update`, `turn.eager_end`, `turn.resume` and `turn.end`, so no separate voice activity detector is needed", "OpenAPI and AsyncAPI files, llms.txt and Markdown twins of every docs page, with enums and numeric ranges on the WebSocket parameters", "Structured errors on `Cartesia-Version` 2026-03-01 and later, with `error_code`, `title`, `message`, `request_id` and an optional `doc_url`", "Short-lived access tokens (at most one hour) carry an `stt` grant, and admin keys are a separate key type from standard keys", "The status page lists Speech to Text in four regions, at 99.97% (US), 99.994% (EU and APAC) and 100% (AU) for July to October 2026" ], "weaknesses": [ "The terms let Cartesia train models on inputs and outputs unless otherwise agreed. Opting out is a form in the Playground's data controls", "Zero data retention is an Enterprise plan setting, and no retention period for other plans was found in the terms, privacy policy or docs", "`ink-2` supports English, French, Hindi, Japanese and Spanish only and has no batch endpoint. `POST /stt` accepts `ink-whisper` only", "No diarisation or speaker labels in the reviewed documentation, and realtime input is raw mono PCM with `encoding` and `sample_rate` required", "The terms of 14 June 2024 forbid automation software (bots) and any robot or scraper that accesses the Services to collect data, which matters before any probe is run", "No SLA was found, and a 429 for exceeding the concurrency limit is documented without a `Retry-After` header or backoff guidance" ], "agentNotes": [ "Use `wss://api.cartesia.ai/stt/turns/websocket` with `model=ink-2`, `encoding`, `sample_rate` and `cartesia_version=2026-08-14`. All four are required.", "Send raw mono audio in chunks of about 100 ms at the speed it was spoken. Pushing a whole file into the socket can return an internal server error.", "Read the final text from `turn.end` only. `transcript` is cumulative within a turn, so joining `turn.update` events duplicates text.", "Send `{\"type\": \"close\"}` after the last audio and keep reading until the server closes the socket, or the buffered tail is lost.", "Check `encoding` and `sample_rate` against the source before sending. The docs say the server might not return an error when they are wrong." ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 0, "avgRating": 0, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "B", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 67.9 } ], "editorialScores": { "ergonomics": 74, "maintenance": 85, "payments": 35, "reliability": 73, "schema": 89, "security": 52, "transparency": 49 }, "provenanceScore": 84 }, "connect": { "install": "pip install 'cartesia[websockets]' # or: npm install @cartesia/cartesia-js", "claudeCode": "claude mcp add --transport http --scope user cartesia https://mcp.cartesia.ai/mcp" }, "letme": { "capability": "https://letme.dev/speech.stt", "tool": "https://letme.dev/cartesia-ink-stt" }, "sameCompany": [ "cartesia-tts", "cartesia-voice-cloning" ], "area": "voice", "unitPrices": [ { "item": "Ink 2 realtime, Scale plan", "unit": "audio-minute", "usd": 0.0067, "note": "180 credits a minute at $299 for 8M credits. Cartesia quotes $0.39 an hour" }, { "item": "Ink 2 realtime, Startup plan", "unit": "audio-minute", "usd": 0.0071, "note": "180 credits a minute at $49 for 1.25M credits" }, { "item": "Ink 2 realtime, Pro plan", "unit": "audio-minute", "usd": 0.009, "note": "180 credits a minute at $5 for 100,000 credits" }, { "item": "Ink Whisper realtime, Scale plan", "unit": "audio-minute", "usd": 0.0022, "note": "60 credits a minute at $299 for 8M credits" }, { "item": "Ink Whisper batch, Scale plan", "unit": "audio-minute", "usd": 0.0011, "note": "30 credits a minute at $299 for 8M credits" } ], "provenance": { "legalEntity": "Cartesia AI, Inc.", "domain": "cartesia.ai", "domainRegistered": "2023-05-10", "endpointOnVendorDomain": true, "terms": "https://www.cartesia.ai/legal/terms", "privacy": "https://www.cartesia.ai/legal/privacy", "statusPage": "https://status.cartesia.ai", "changelog": "https://docs.cartesia.ai/changelog/2026", "securityTxt": "valid", "checked": "2026-10-09", "score": 84 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/cartesia-ink-stt.json", "live": { "slug": "cartesia-ink-stt", "probe": { "target": "https://api.cartesia.ai", "method": "get", "lastAt": "2026-10-10T03:07:00.809061285Z", "lastOk": true, "lastStatus": 200, "lastMs": 126, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 69, "p95ms24h": 203, "samples24h": 117, "samples30d": 117, "days": [ { "date": "2026-10-09", "probes": 85, "ok": 85 }, { "date": "2026-10-10", "probes": 32, "ok": 32 } ] }, "vendorStatus": { "page": "https://status.cartesia.ai", "indicator": "none", "summary": "All Systems Operational", "checkedAt": "2026-10-10T03:01:52.995710279Z" }, "versions": [ { "registry": "github", "name": "cartesia-ai/cartesia-python", "version": "v4.2.0", "released": "2026-09-02", "seenAt": "2026-10-09T16:44:27.669680758Z" }, { "registry": "npm", "name": "@cartesia/cartesia-js", "version": "4.2.0", "seenAt": "2026-10-09T16:44:25.845737197Z" }, { "registry": "pypi", "name": "cartesia", "version": "4.2.0", "released": "2026-09-02", "seenAt": "2026-10-09T16:44:25.659263821Z" }, { "registry": "pypi", "name": "cartesia-mcp", "version": "0.26.1", "released": "2026-10-08", "seenAt": "2026-10-09T16:44:26.977578193Z" } ], "githubStars": 134, "npmWeekly": 79696, "pypiWeekly": 205864, "pages": [ { "url": "https://docs.cartesia.ai/changelog/2026", "kind": "changelog", "status": 200, "checkedAt": "2026-10-09T18:36:45.184290806Z", "changedAt": "2026-10-07T18:04:49.25388057Z", "fingerprint": "405fadad924b" }, { "url": "https://docs.cartesia.ai/pricing", "kind": "pricing", "status": 200, "checkedAt": "2026-10-09T18:36:47.532132362Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "379a41a8bcf3" }, { "url": "https://www.cartesia.ai/pricing", "kind": "pricing", "status": 200, "checkedAt": "2026-10-09T18:48:59.764022121Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "12bd9269bdef" }, { "url": "https://www.cartesia.ai/legal/privacy", "kind": "privacy", "status": 200, "checkedAt": "2026-10-09T18:48:55.522982064Z", "changedAt": "2026-10-08T18:26:54.204830291Z", "fingerprint": "90fbd63881e5" }, { "url": "https://www.cartesia.ai/legal/terms", "kind": "terms", "status": 200, "checkedAt": "2026-10-09T18:48:57.753461207Z", "changedAt": "2026-10-08T18:26:56.591248396Z", "fingerprint": "2153bed03a23" } ], "updatedAt": "2026-10-10T03:07:00.809061285Z" } }, "answer": "Cartesia Ink scores 67.9 (B) 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 \u0026 auth, payments \u0026 pricing and transparency \u0026 trust.", "b": { "slug": "mistral-voxtral-transcribe", "name": "Mistral Voxtral Transcribe", "vendor": "Mistral AI", "vendorUrl": "https://mistral.ai", "kind": "model", "category": "speech-to-text", "summary": "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.", "url": "https://www.anchorterminal.com/tools/mistral-voxtral-transcribe", "markdownUrl": "https://www.anchorterminal.com/tools/mistral-voxtral-transcribe.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/mistral-voxtral-transcribe.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/mistral-voxtral-transcribe.json", "repo": "https://github.com/mistralai/client-python", "license": "Proprietary hosted service under Mistral's commercial terms. Voxtral Mini 4B Realtime weights and the SDKs are Apache-2.0", "transports": [ "http", "websocket" ], "remoteUrl": "https://api.mistral.ai/v1", "packages": [ { "registry": "pypi", "name": "mistralai" }, { "registry": "npm", "name": "@mistralai/mistralai" } ], "auth": "api-key", "authNotes": "Self-serve bearer key from Studio, bound to one workspace, with an optional expiry date. Browser realtime clients use `rt_` tokens minted at `POST /v1/client/sessions`, valid about 900 seconds for one model (https://docs.mistral.ai/studio/audio/speech_to_text/realtime_transcription/client_auth).", "pricing": "freemium", "pricingNotes": "$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.", "priceSummary": "Freemium", "where": "hosted", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the docs, the OpenAPI document or the pricing page (checked 2026-10-08).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": 773, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-10-08" }, "docsUrl": "https://docs.mistral.ai/studio/audio/speech_to_text", "llmsTxt": "https://docs.mistral.ai/llms.txt", "openapi": "https://docs.mistral.ai/openapi.yaml", "capabilities": [ "speech.stt", "speech.batch", "speech.streaming", "speech.diarisation", "speech.languages" ], "tags": [ "official", "hosted", "model", "eu", "free-tier", "openapi", "llms-txt", "python", "typescript", "streaming", "batch", "open-weights" ], "lastRelease": "2026-02-04", "graded": true, "anchor": { "graded": true, "score": 64.1, "grade": "B", "agentReady": false, "rank": 365, "ranked": true, "rankOf": 950, "categoryRank": 12, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 77, "maintenance": 66, "payments": 40, "reliability": 53, "schema": 85, "security": 70, "transparency": 82 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-08" }, "negative": -3, "negativeNotes": [ "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" ], "verdict": "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.", "bestFor": "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.", "strengths": [ "Published prices of $0.003 a minute for Voxtral Mini Transcribe 2 and $0.006 a minute for Voxtral Realtime", "One request with `model` and a `file`, `file_url` or `file_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/transcriptions` is 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_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" ], "agentNotes": [ "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" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 0, "avgRating": 0, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "B", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 64.1 } ], "editorialScores": { "ergonomics": 77, "maintenance": 66, "payments": 40, "reliability": 53, "schema": 85, "security": 70, "transparency": 73 }, "provenanceScore": 91 }, "connect": { "install": "pip install mistralai # realtime: pip install \"mistralai[realtime]\" # or: npm i @mistralai/mistralai", "http": "curl --location 'https://api.mistral.ai/v1/audio/transcriptions' \\\n --header \"x-api-key: $MISTRAL_API_KEY\" \\\n --form 'file_url=\"https://docs.mistral.ai/audio/obama.mp3\"' \\\n --form 'model=\"voxtral-mini-latest\"'" }, "letme": { "capability": "https://letme.dev/speech.stt", "tool": "https://letme.dev/mistral-voxtral-transcribe" }, "sameCompany": [ "mistral-api", "mistral-embeddings", "mistral-moderation", "mistral-ocr" ], "area": "voice", "unitPrices": [ { "item": "Voxtral Mini Transcribe 2 (batch)", "unit": "audio-minute", "usd": 0.003 }, { "item": "Voxtral Mini Transcribe Realtime", "unit": "audio-minute", "usd": 0.006 } ], "provenance": { "legalEntity": "Mistral AI (RCS Paris 952 418 325)", "domain": "mistral.ai", "domainRegistered": "2019-05-15", "endpointOnVendorDomain": true, "terms": "https://legal.mistral.ai/terms/commercial-terms-of-service", "privacy": "https://legal.mistral.ai/terms/privacy-policy", "statusPage": "https://status.mistral.ai", "changelog": "https://docs.mistral.ai/resources/changelogs", "securityTxt": "valid", "checked": "2026-10-08", "score": 91 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/mistral-voxtral-transcribe.json", "live": { "slug": "mistral-voxtral-transcribe", "probe": { "target": "https://api.mistral.ai/v1", "method": "get", "lastAt": "2026-10-10T03:07:13.477589933Z", "lastOk": true, "lastStatus": 404, "lastMs": 45, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 48, "p95ms24h": 84, "samples24h": 201, "samples30d": 201, "days": [ { "date": "2026-10-09", "probes": 169, "ok": 169 }, { "date": "2026-10-10", "probes": 32, "ok": 32 } ] }, "versions": [ { "registry": "github", "name": "mistralai/client-python", "version": "v3.2.0", "released": "2026-10-09", "seenAt": "2026-10-09T17:06:39.739433733Z" }, { "registry": "npm", "name": "@mistralai/mistralai", "version": "2.7.0", "seenAt": "2026-10-09T17:06:39.382083947Z" }, { "registry": "pypi", "name": "mistralai", "version": "3.2.0", "released": "2026-10-09", "seenAt": "2026-10-09T17:06:39.265218804Z" } ], "githubStars": 773, "npmWeekly": 8338907, "pypiWeekly": 3268403, "securityTxt": { "url": "https://mistral.ai/.well-known/security.txt", "state": "valid", "expires": "2027-05-05T23:59:59.000Z", "checkedAt": "2026-10-09T15:39:43.017059181Z" }, "llmsTxt": { "url": "https://docs.mistral.ai/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-10-09T14:02:26.746229848Z" }, "updatedAt": "2026-10-10T03:07:13.477589933Z" } }, "facts": [ { "a": "Model API", "b": "Model API", "name": "Kind" }, { "a": "Cartesia", "b": "Mistral AI", "name": "Vendor" }, { "a": "https://api.cartesia.ai", "b": "https://api.mistral.ai/v1", "name": "Hosted endpoint" }, { "a": "HTTP, websocket, Streamable HTTP", "b": "HTTP, websocket", "name": "Transports" }, { "a": "API key", "b": "API key", "name": "Auth" }, { "a": "Freemium", "b": "Freemium", "name": "Pricing" }, { "a": "no", "b": "no", "name": "x402" }, { "a": "Proprietary hosted service under the Cartesia Terms of Service. The Python and JavaScript SDKs are Apache-2.0", "b": "Proprietary hosted service under Mistral's commercial terms. Voxtral Mini 4B Realtime weights and the SDKs are Apache-2.0", "name": "Licence" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "yes", "b": "yes", "name": "llms.txt" }, { "a": "2026-09-17", "b": "2026-02-04", "name": "Last release" }, { "a": "2024-06-14", "b": "2026-09-25", "name": "Terms last updated" }, { "a": "2024-06-14", "b": "2026-09-03", "name": "Privacy policy last updated" }, { "a": "yes, with an opt-out", "b": "yes, with an opt-out", "name": "Customer content may train models" }, { "a": "yes", "b": "not found in the text", "name": "Terms restrict automated access" }, { "a": "yes", "b": "yes", "name": "Terms restrict benchmarking" }, { "a": "not found in the text", "b": "yes", "name": "Terms or service can change without notice" }, { "a": "yes", "b": "not found in the text", "name": "Arbitration or class-action waiver" }, { "a": "134 stars", "b": "773 stars", "name": "Popularity" } ], "faq": [ { "answer": "Cartesia Ink scores 67.9 (B) 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 \u0026 auth, payments \u0026 pricing and transparency \u0026 trust.", "question": "Which is better for AI agents, Cartesia Ink or Mistral Voxtral Transcribe?" }, { "answer": "Both need an API key.", "question": "Do Cartesia Ink and Mistral Voxtral Transcribe need an API key?" }, { "answer": "Yes. Cartesia Ink has a hosted endpoint at https://api.cartesia.ai and Mistral Voxtral Transcribe at https://api.mistral.ai/v1.", "question": "Can an agent call Cartesia Ink and Mistral Voxtral Transcribe without installing anything?" } ], "goodFor": [ { "aheadOn": [ "Reliability, 73 against 53", "Maintenance \u0026 community, 85 against 66" ], "also": [ "No incidents deducted, where Mistral Voxtral Transcribe loses 3 points for them" ], "goodFor": "Suited to voice agents that need turn detection and transcription from one model in English, French, Hindi, Japanese or Spanish, and to teams already using Cartesia text-to-speech.", "slug": "cartesia-ink-stt", "watchFor": "The terms let Cartesia train models on inputs and outputs unless otherwise agreed. Opting out is a form in the Playground's data controls" }, { "aheadOn": [ "Security \u0026 auth, 70 against 52", "Payments \u0026 pricing, 40 against 35", "Transparency \u0026 trust, 82 against 67" ], "also": null, "goodFor": "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.", "slug": "mistral-voxtral-transcribe", "watchFor": "Audio rate limits are named (audio seconds a minute and a month) but the numbers are shown only in the Admin Panel" } ], "job": { "capability": "speech.stt", "name": "Speech-to-text" }, "others": [ { "json": "https://www.anchorterminal.com/compare/amazon-transcribe-vs-cartesia-ink-stt.json", "title": "Amazon Transcribe vs Cartesia Ink", "url": "https://www.anchorterminal.com/compare/amazon-transcribe-vs-cartesia-ink-stt" }, { "json": "https://www.anchorterminal.com/compare/amazon-transcribe-vs-mistral-voxtral-transcribe.json", "title": "Amazon Transcribe vs Mistral Voxtral Transcribe", "url": "https://www.anchorterminal.com/compare/amazon-transcribe-vs-mistral-voxtral-transcribe" }, { "json": "https://www.anchorterminal.com/compare/assemblyai-stt-vs-cartesia-ink-stt.json", "title": "AssemblyAI Speech-to-Text (Universal) vs Cartesia Ink", "url": "https://www.anchorterminal.com/compare/assemblyai-stt-vs-cartesia-ink-stt" }, { "json": "https://www.anchorterminal.com/compare/assemblyai-stt-vs-mistral-voxtral-transcribe.json", "title": "AssemblyAI Speech-to-Text (Universal) vs Mistral Voxtral Transcribe", "url": "https://www.anchorterminal.com/compare/assemblyai-stt-vs-mistral-voxtral-transcribe" }, { "json": "https://www.anchorterminal.com/compare/azure-speech-to-text-vs-cartesia-ink-stt.json", "title": "Azure AI Speech speech-to-text vs Cartesia Ink", "url": "https://www.anchorterminal.com/compare/azure-speech-to-text-vs-cartesia-ink-stt" }, { "json": "https://www.anchorterminal.com/compare/azure-speech-to-text-vs-mistral-voxtral-transcribe.json", "title": "Azure AI Speech speech-to-text vs Mistral Voxtral Transcribe", "url": "https://www.anchorterminal.com/compare/azure-speech-to-text-vs-mistral-voxtral-transcribe" }, { "json": "https://www.anchorterminal.com/compare/cartesia-ink-stt-vs-deepgram-stt.json", "title": "Cartesia Ink vs Deepgram Speech-to-Text (Nova-3, Flux)", "url": "https://www.anchorterminal.com/compare/cartesia-ink-stt-vs-deepgram-stt" }, { "json": "https://www.anchorterminal.com/compare/cartesia-ink-stt-vs-elevenlabs-scribe.json", "title": "Cartesia Ink vs ElevenLabs Scribe Speech to Text API", "url": "https://www.anchorterminal.com/compare/cartesia-ink-stt-vs-elevenlabs-scribe" }, { "json": "https://www.anchorterminal.com/compare/cartesia-ink-stt-vs-gladia-stt.json", "title": "Cartesia Ink vs Gladia Speech-to-Text API + MCP", "url": "https://www.anchorterminal.com/compare/cartesia-ink-stt-vs-gladia-stt" }, { "json": "https://www.anchorterminal.com/compare/cartesia-ink-stt-vs-google-speech-to-text.json", "title": "Cartesia Ink vs Google Cloud Speech-to-Text", "url": "https://www.anchorterminal.com/compare/cartesia-ink-stt-vs-google-speech-to-text" }, { "json": "https://www.anchorterminal.com/compare/cartesia-ink-stt-vs-groq-speech-to-text.json", "title": "Cartesia Ink vs Groq Speech-to-Text", "url": "https://www.anchorterminal.com/compare/cartesia-ink-stt-vs-groq-speech-to-text" }, { "json": "https://www.anchorterminal.com/compare/cartesia-ink-stt-vs-openai-speech-to-text.json", "title": "Cartesia Ink vs OpenAI Speech to Text", "url": "https://www.anchorterminal.com/compare/cartesia-ink-stt-vs-openai-speech-to-text" }, { "json": "https://www.anchorterminal.com/compare/cartesia-ink-stt-vs-rev-ai-stt.json", "title": "Cartesia Ink vs Rev AI Speech-to-Text API", "url": "https://www.anchorterminal.com/compare/cartesia-ink-stt-vs-rev-ai-stt" }, { "json": "https://www.anchorterminal.com/compare/cartesia-ink-stt-vs-soniox-stt.json", "title": "Cartesia Ink vs Soniox Speech-to-Text", "url": "https://www.anchorterminal.com/compare/cartesia-ink-stt-vs-soniox-stt" }, { "json": "https://www.anchorterminal.com/compare/cartesia-ink-stt-vs-speechmatics-stt.json", "title": "Cartesia Ink vs Speechmatics Speech-to-Text", "url": "https://www.anchorterminal.com/compare/cartesia-ink-stt-vs-speechmatics-stt" }, { "json": "https://www.anchorterminal.com/compare/deepgram-stt-vs-mistral-voxtral-transcribe.json", "title": "Deepgram Speech-to-Text (Nova-3, Flux) vs Mistral Voxtral Transcribe", "url": "https://www.anchorterminal.com/compare/deepgram-stt-vs-mistral-voxtral-transcribe" }, { "json": "https://www.anchorterminal.com/compare/elevenlabs-scribe-vs-mistral-voxtral-transcribe.json", "title": "ElevenLabs Scribe Speech to Text API vs Mistral Voxtral Transcribe", "url": "https://www.anchorterminal.com/compare/elevenlabs-scribe-vs-mistral-voxtral-transcribe" }, { "json": "https://www.anchorterminal.com/compare/gladia-stt-vs-mistral-voxtral-transcribe.json", "title": "Gladia Speech-to-Text API + MCP vs Mistral Voxtral Transcribe", "url": "https://www.anchorterminal.com/compare/gladia-stt-vs-mistral-voxtral-transcribe" }, { "json": "https://www.anchorterminal.com/compare/google-speech-to-text-vs-mistral-voxtral-transcribe.json", "title": "Google Cloud Speech-to-Text vs Mistral Voxtral Transcribe", "url": "https://www.anchorterminal.com/compare/google-speech-to-text-vs-mistral-voxtral-transcribe" }, { "json": "https://www.anchorterminal.com/compare/groq-speech-to-text-vs-mistral-voxtral-transcribe.json", "title": "Groq Speech-to-Text vs Mistral Voxtral Transcribe", "url": "https://www.anchorterminal.com/compare/groq-speech-to-text-vs-mistral-voxtral-transcribe" }, { "json": "https://www.anchorterminal.com/compare/mistral-voxtral-transcribe-vs-openai-speech-to-text.json", "title": "Mistral Voxtral Transcribe vs OpenAI Speech to Text", "url": "https://www.anchorterminal.com/compare/mistral-voxtral-transcribe-vs-openai-speech-to-text" }, { "json": "https://www.anchorterminal.com/compare/mistral-voxtral-transcribe-vs-rev-ai-stt.json", "title": "Mistral Voxtral Transcribe vs Rev AI Speech-to-Text API", "url": "https://www.anchorterminal.com/compare/mistral-voxtral-transcribe-vs-rev-ai-stt" }, { "json": "https://www.anchorterminal.com/compare/mistral-voxtral-transcribe-vs-soniox-stt.json", "title": "Mistral Voxtral Transcribe vs Soniox Speech-to-Text", "url": "https://www.anchorterminal.com/compare/mistral-voxtral-transcribe-vs-soniox-stt" }, { "json": "https://www.anchorterminal.com/compare/mistral-voxtral-transcribe-vs-speechmatics-stt.json", "title": "Mistral Voxtral Transcribe vs Speechmatics Speech-to-Text", "url": "https://www.anchorterminal.com/compare/mistral-voxtral-transcribe-vs-speechmatics-stt" } ], "scores": [ { "by": 20, "cartesia-ink-stt": 73, "edge": "cartesia-ink-stt", "key": "reliability", "mistral-voxtral-transcribe": 53, "name": "Reliability", "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 4, "cartesia-ink-stt": 89, "edge": "cartesia-ink-stt", "key": "schema", "mistral-voxtral-transcribe": 85, "name": "Schema \u0026 documentation", "weight": 13 }, { "by": 3, "cartesia-ink-stt": 74, "edge": "mistral-voxtral-transcribe", "key": "ergonomics", "mistral-voxtral-transcribe": 77, "name": "Agent ergonomics", "weight": 13 }, { "by": 18, "cartesia-ink-stt": 52, "edge": "mistral-voxtral-transcribe", "key": "security", "mistral-voxtral-transcribe": 70, "name": "Security \u0026 auth", "weight": 14 }, { "by": 5, "cartesia-ink-stt": 35, "edge": "mistral-voxtral-transcribe", "key": "payments", "mistral-voxtral-transcribe": 40, "name": "Payments \u0026 pricing", "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 19, "cartesia-ink-stt": 85, "edge": "cartesia-ink-stt", "key": "maintenance", "mistral-voxtral-transcribe": 66, "name": "Maintenance \u0026 community", "weight": 7 }, { "by": 15, "cartesia-ink-stt": 67, "edge": "mistral-voxtral-transcribe", "key": "transparency", "mistral-voxtral-transcribe": 82, "name": "Transparency \u0026 trust", "weight": 7 } ], "summary": "Cartesia Ink scores 67.9 (B) 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 \u0026 auth, payments \u0026 pricing and transparency \u0026 trust. Both do speech-to-text.", "verdicts": { "cartesia-ink-stt": "Ink 2 streams transcripts with turn detection built into the model, documented by an AsyncAPI file with typed ranges and structured errors. The terms, last revised 14 June 2024, let Cartesia train on inputs and outputs unless the customer opts out, and zero data retention is an Enterprise setting. Ink 2 has no batch endpoint and no diarisation.", "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." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/cartesia-ink-stt-vs-mistral-voxtral-transcribe", "json": "https://www.anchorterminal.com/compare/cartesia-ink-stt-vs-mistral-voxtral-transcribe.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/cartesia-ink-stt-vs-mistral-voxtral-transcribe.md", "slim": "https://www.anchorterminal.com/compare/cartesia-ink-stt-vs-mistral-voxtral-transcribe.min.md" }, "markdown": "Cartesia Ink scores 67.9 (B) 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 \u0026 auth, payments \u0026 pricing and transparency \u0026 trust. Both do speech-to-text.\n\n- Cartesia Ink: grade B, 67.9/100, rank #238 of 950. Markdown https://www.anchorterminal.com/tools/cartesia-ink-stt.md · JSON https://www.anchorterminal.com/api/v1/tools/cartesia-ink-stt.json\n- Mistral Voxtral Transcribe: grade B, 64.1/100, rank #365 of 950. Markdown https://www.anchorterminal.com/tools/mistral-voxtral-transcribe.md · JSON https://www.anchorterminal.com/api/v1/tools/mistral-voxtral-transcribe.json\n- Best speech-to-text APIs for AI agents: https://www.anchorterminal.com/best/speech-to-text/index.md\n- All 91 stt comparisons: https://www.anchorterminal.com/compare/speech-to-text/index.md\n\n## Which one, for what\n\n### Cartesia Ink (B)\n\nGood for: Suited to voice agents that need turn detection and transcription from one model in English, French, Hindi, Japanese or Spanish, and to teams already using Cartesia text-to-speech.\n\nAhead on:\n- Reliability, 73 against 53\n- Maintenance \u0026 community, 85 against 66\n\nAlso in its favour:\n- No incidents deducted, where Mistral Voxtral Transcribe loses 3 points for them\n\nWatch for: The terms let Cartesia train models on inputs and outputs unless otherwise agreed. Opting out is a form in the Playground's data controls\n\n### Mistral Voxtral Transcribe (B)\n\nGood 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.\n\nAhead on:\n- Security \u0026 auth, 70 against 52\n- Payments \u0026 pricing, 40 against 35\n- Transparency \u0026 trust, 82 against 67\n\nWatch for: Audio rate limits are named (audio seconds a minute and a month) but the numbers are shown only in the Admin Panel\n\n\n## Score by category\n\n| Category | Weight | Cartesia Ink | Mistral Voxtral Transcribe | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 73 | 53 | Cartesia Ink +20 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 89 | 85 | Cartesia Ink +4 |\n| Agent ergonomics | 13% (16.2 this run) | 74 | 77 | Mistral Voxtral Transcribe +3 |\n| Security \u0026 auth | 14% (17.5 this run) | 52 | 70 | Mistral Voxtral Transcribe +18 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 35 | 40 | Mistral Voxtral Transcribe +5 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 85 | 66 | Cartesia Ink +19 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 67 | 82 | Mistral Voxtral Transcribe +15 |\n| Negative events | ≤15 | 0 | -3 | |\n| **Total** | | **67.9 · B** | **64.1 · B** | |\n\n## Facts side by side\n\n| Fact | Cartesia Ink | Mistral Voxtral Transcribe |\n| --- | --- | --- |\n| Kind | Model API | Model API |\n| Vendor | Cartesia | Mistral AI |\n| Hosted endpoint | `https://api.cartesia.ai` | `https://api.mistral.ai/v1` |\n| Transports | HTTP, websocket, Streamable HTTP | HTTP, websocket |\n| Auth | API key | API key |\n| Pricing | Freemium | Freemium |\n| x402 | no | no |\n| Licence | Proprietary hosted service under the Cartesia Terms of Service. The Python and JavaScript SDKs are Apache-2.0 | Proprietary hosted service under Mistral's commercial terms. Voxtral Mini 4B Realtime weights and the SDKs are Apache-2.0 |\n| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| Last release | 2026-09-17 | 2026-02-04 |\n| Terms last updated | 2024-06-14 | 2026-09-25 |\n| Privacy policy last updated | 2024-06-14 | 2026-09-03 |\n| Customer content may train models | yes, with an opt-out | yes, with an opt-out |\n| Terms restrict automated access | yes | not found in the text |\n| Terms restrict benchmarking | yes | yes |\n| Terms or service can change without notice | not found in the text | yes |\n| Arbitration or class-action waiver | yes | not found in the text |\n| Popularity | 134 stars | 773 stars |\n\n## Verdicts\n\n**Cartesia Ink.** Ink 2 streams transcripts with turn detection built into the model, documented by an AsyncAPI file with typed ranges and structured errors. The terms, last revised 14 June 2024, let Cartesia train on inputs and outputs unless the customer opts out, and zero data retention is an Enterprise setting. Ink 2 has no batch endpoint and no diarisation.\n\n**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.\n\n## Before you call either\n\n### Cartesia Ink\n\n1. Use `wss://api.cartesia.ai/stt/turns/websocket` with `model=ink-2`, `encoding`, `sample_rate` and `cartesia_version=2026-08-14`. All four are required.\n2. Send raw mono audio in chunks of about 100 ms at the speed it was spoken. Pushing a whole file into the socket can return an internal server error.\n3. Read the final text from `turn.end` only. `transcript` is cumulative within a turn, so joining `turn.update` events duplicates text.\n4. Send `{\"type\": \"close\"}` after the last audio and keep reading until the server closes the socket, or the buffered tail is lost.\n5. Check `encoding` and `sample_rate` against the source before sending. The docs say the server might not return an error when they are wrong.\n\n### Mistral Voxtral Transcribe\n\n1. Send `model=voxtral-mini-latest` and one of `file`, `file_url` or `file_id` as multipart form fields to `/v1/audio/transcriptions`\n2. Leave `language` out when you ask for `timestamp_granularities`, the docs say the two are not compatible\n3. Use the batch endpoint for diarisation. `voxtral-mini-transcribe-realtime-2602` does not accept `diarize`\n4. Pin `voxtral-mini-2602` if output must not change, since `-latest` aliases can move\n5. Mint browser tokens with `POST /v1/client/sessions` close to connection time and pass them in `Sec-WebSocket-Protocol`, never the API key\n\n## Questions\n\n### Which is better for AI agents, Cartesia Ink or Mistral Voxtral Transcribe?\n\nCartesia Ink scores 67.9 (B) 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 \u0026 auth, payments \u0026 pricing and transparency \u0026 trust.\n\n### Do Cartesia Ink and Mistral Voxtral Transcribe need an API key?\n\nBoth need an API key.\n\n### Can an agent call Cartesia Ink and Mistral Voxtral Transcribe without installing anything?\n\nYes. Cartesia Ink has a hosted endpoint at https://api.cartesia.ai and Mistral Voxtral Transcribe at https://api.mistral.ai/v1.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/cartesia-ink-stt-vs-mistral-voxtral-transcribe.json, and with the fewest tokens: https://www.anchorterminal.com/compare/cartesia-ink-stt-vs-mistral-voxtral-transcribe.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"cartesia-ink-stt\", \"b\": \"mistral-voxtral-transcribe\"}`. From a terminal: `anchor compare cartesia-ink-stt mistral-voxtral-transcribe`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/cartesia-ink-stt.json and https://www.anchorterminal.com/api/v1/tools/mistral-voxtral-transcribe.json\n\n## Other comparisons with Cartesia Ink or Mistral Voxtral Transcribe\n\n- [Amazon Transcribe vs Cartesia Ink](https://www.anchorterminal.com/compare/amazon-transcribe-vs-cartesia-ink-stt.md)\n- [Amazon Transcribe vs Mistral Voxtral Transcribe](https://www.anchorterminal.com/compare/amazon-transcribe-vs-mistral-voxtral-transcribe.md)\n- [AssemblyAI Speech-to-Text (Universal) vs Cartesia Ink](https://www.anchorterminal.com/compare/assemblyai-stt-vs-cartesia-ink-stt.md)\n- [AssemblyAI Speech-to-Text (Universal) vs Mistral Voxtral Transcribe](https://www.anchorterminal.com/compare/assemblyai-stt-vs-mistral-voxtral-transcribe.md)\n- [Azure AI Speech speech-to-text vs Cartesia Ink](https://www.anchorterminal.com/compare/azure-speech-to-text-vs-cartesia-ink-stt.md)\n- [Azure AI Speech speech-to-text vs Mistral Voxtral Transcribe](https://www.anchorterminal.com/compare/azure-speech-to-text-vs-mistral-voxtral-transcribe.md)\n- [Cartesia Ink vs Deepgram Speech-to-Text (Nova-3, Flux)](https://www.anchorterminal.com/compare/cartesia-ink-stt-vs-deepgram-stt.md)\n- [Cartesia Ink vs ElevenLabs Scribe Speech to Text API](https://www.anchorterminal.com/compare/cartesia-ink-stt-vs-elevenlabs-scribe.md)\n- [Cartesia Ink vs Gladia Speech-to-Text API + MCP](https://www.anchorterminal.com/compare/cartesia-ink-stt-vs-gladia-stt.md)\n- [Cartesia Ink vs Google Cloud Speech-to-Text](https://www.anchorterminal.com/compare/cartesia-ink-stt-vs-google-speech-to-text.md)\n- [Cartesia Ink vs Groq Speech-to-Text](https://www.anchorterminal.com/compare/cartesia-ink-stt-vs-groq-speech-to-text.md)\n- [Cartesia Ink vs OpenAI Speech to Text](https://www.anchorterminal.com/compare/cartesia-ink-stt-vs-openai-speech-to-text.md)\n- [Cartesia Ink vs Rev AI Speech-to-Text API](https://www.anchorterminal.com/compare/cartesia-ink-stt-vs-rev-ai-stt.md)\n- [Cartesia Ink vs Soniox Speech-to-Text](https://www.anchorterminal.com/compare/cartesia-ink-stt-vs-soniox-stt.md)\n- [Cartesia Ink vs Speechmatics Speech-to-Text](https://www.anchorterminal.com/compare/cartesia-ink-stt-vs-speechmatics-stt.md)\n- [Deepgram Speech-to-Text (Nova-3, Flux) vs Mistral Voxtral Transcribe](https://www.anchorterminal.com/compare/deepgram-stt-vs-mistral-voxtral-transcribe.md)\n- [ElevenLabs Scribe Speech to Text API vs Mistral Voxtral Transcribe](https://www.anchorterminal.com/compare/elevenlabs-scribe-vs-mistral-voxtral-transcribe.md)\n- [Gladia Speech-to-Text API + MCP vs Mistral Voxtral Transcribe](https://www.anchorterminal.com/compare/gladia-stt-vs-mistral-voxtral-transcribe.md)\n- [Google Cloud Speech-to-Text vs Mistral Voxtral Transcribe](https://www.anchorterminal.com/compare/google-speech-to-text-vs-mistral-voxtral-transcribe.md)\n- [Groq Speech-to-Text vs Mistral Voxtral Transcribe](https://www.anchorterminal.com/compare/groq-speech-to-text-vs-mistral-voxtral-transcribe.md)\n- [Mistral Voxtral Transcribe vs OpenAI Speech to Text](https://www.anchorterminal.com/compare/mistral-voxtral-transcribe-vs-openai-speech-to-text.md)\n- [Mistral Voxtral Transcribe vs Rev AI Speech-to-Text API](https://www.anchorterminal.com/compare/mistral-voxtral-transcribe-vs-rev-ai-stt.md)\n- [Mistral Voxtral Transcribe vs Soniox Speech-to-Text](https://www.anchorterminal.com/compare/mistral-voxtral-transcribe-vs-soniox-stt.md)\n- [Mistral Voxtral Transcribe vs Speechmatics Speech-to-Text](https://www.anchorterminal.com/compare/mistral-voxtral-transcribe-vs-speechmatics-stt.md)\n", "meta": { "attribution": "Anchor Terminal (https://www.anchorterminal.com)", "docs": "https://www.anchorterminal.com/docs/", "generatedAt": "2026-10-10", "license": "CC-BY-4.0", "method": "https://www.anchorterminal.com/benchmark/", "methodology": "0.4", "openapi": "https://www.anchorterminal.com/openapi.json", "preview": false, "run": "2026-10-01", "runLabel": "October 2026 research run" }, "page": { "breadcrumbs": [ { "name": "Home", "url": "https://www.anchorterminal.com/" }, { "name": "Compare", "url": "https://www.anchorterminal.com/compare/" }, { "name": "Cartesia Ink vs Mistral Voxtral Transcribe", "url": "" } ], "description": "Cartesia Ink scores 67.9 (B) to Mistral Voxtral Transcribe's 64.1 (B) for speech-to-text. Prices, MCP, x402, uptime and agent notes side by side.", "facts": [ "Cartesia Ink B 67.9", "Mistral Voxtral Transcribe B 64.1", "scores" ], "h1": "Cartesia Ink vs Mistral Voxtral Transcribe", "image": "https://www.anchorterminal.com/assets/og/compare-cartesia-ink-stt-vs-mistral-voxtral-transcribe.png", "path": "/compare/cartesia-ink-stt-vs-mistral-voxtral-transcribe", "published": "2026-10-01", "section": "tools", "title": "Cartesia Ink vs Mistral Voxtral Transcribe for AI agents (2026)", "toc": null, "updated": "2026-10-09", "url": "https://www.anchorterminal.com/compare/cartesia-ink-stt-vs-mistral-voxtral-transcribe" }, "tokens": { "markdown": 2900, "slim": 730 }, "version": 1 }