{ "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": 240, "ranked": true, "rankOf": 961, "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": "2026-10-11T05:01:33.69834516Z", "lastOk": true, "lastStatus": 200, "lastMs": 93, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 69, "p95ms24h": 139, "samples24h": 248, "samples30d": 384, "days": [ { "date": "2026-10-09", "probes": 85, "ok": 85 }, { "date": "2026-10-10", "probes": 247, "ok": 247 }, { "date": "2026-10-11", "probes": 52, "ok": 52 } ] }, "vendorStatus": { "page": "https://status.cartesia.ai", "indicator": "none", "summary": "All Systems Operational", "checkedAt": "2026-10-11T04:54:21.766064105Z" }, "versions": [ { "registry": "github", "name": "cartesia-ai/cartesia-python", "version": "v4.2.0", "released": "2026-09-02", "seenAt": "2026-10-10T17:38:22.962926133Z" }, { "registry": "npm", "name": "@cartesia/cartesia-js", "version": "4.2.0", "seenAt": "2026-10-10T17:38:21.060854081Z" }, { "registry": "pypi", "name": "cartesia", "version": "4.2.0", "released": "2026-09-02", "seenAt": "2026-10-10T17:38:20.871844803Z" }, { "registry": "pypi", "name": "cartesia-mcp", "version": "0.26.1", "released": "2026-10-08", "seenAt": "2026-10-10T17:38:21.971869644Z" } ], "githubStars": 134, "npmWeekly": 83895, "pypiWeekly": 212834, "securityTxt": { "url": "https://cartesia.ai/.well-known/security.txt", "state": "valid", "expires": "2027-10-03T00:00:00.000Z", "checkedAt": "2026-10-10T15:41:16.780057635Z" }, "llmsTxt": { "url": "https://docs.cartesia.ai/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-10-10T14:03:44.799387183Z" }, "pages": [ { "url": "https://docs.cartesia.ai/changelog/2026", "kind": "changelog", "status": 200, "checkedAt": "2026-10-10T19:01:04.357926567Z", "changedAt": "2026-10-07T18:04:49.25388057Z", "fingerprint": "405fadad924b" }, { "url": "https://docs.cartesia.ai/pricing", "kind": "pricing", "status": 200, "checkedAt": "2026-10-10T19:01:06.725664274Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "379a41a8bcf3" }, { "url": "https://www.cartesia.ai/pricing", "kind": "pricing", "status": 200, "checkedAt": "2026-10-10T19:13:13.092621347Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "12bd9269bdef" }, { "url": "https://www.cartesia.ai/legal/privacy", "kind": "privacy", "status": 200, "checkedAt": "2026-10-10T19:13:09.033919143Z", "changedAt": "2026-10-08T18:26:54.204830291Z", "fingerprint": "90fbd63881e5" }, { "url": "https://www.cartesia.ai/legal/terms", "kind": "terms", "status": 200, "checkedAt": "2026-10-10T19:13:11.096858125Z", "changedAt": "2026-10-08T18:26:56.591248396Z", "fingerprint": "2153bed03a23" } ], "updatedAt": "2026-10-11T05:01:33.69834516Z" } }, "answer": "OpenAI Speech to Text scores 72.4 (BB) on agent readiness against Cartesia Ink's 67.9 (B), and leads in 3 of 7 scored categories. Cartesia Ink leads on payments \u0026 pricing, maintenance \u0026 community and transparency \u0026 trust.", "b": { "slug": "openai-speech-to-text", "name": "OpenAI Speech to Text", "vendor": "OpenAI", "vendorUrl": "https://openai.com", "kind": "model", "category": "speech-to-text", "summary": "OpenAI's speech-to-text API. It transcribes uploaded audio files through `/v1/audio/transcriptions`, translates recordings into English through `/v1/audio/translations`, and transcribes live audio in Realtime transcription sessions over WebSocket or WebRTC.", "url": "https://www.anchorterminal.com/tools/openai-speech-to-text", "markdownUrl": "https://www.anchorterminal.com/tools/openai-speech-to-text.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/openai-speech-to-text.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/openai-speech-to-text.json", "repo": "https://github.com/openai/openai-python", "license": "Proprietary hosted service. The service terms were not read (see open questions). The Python SDK is Apache-2.0 and the OpenAPI document is MIT", "transports": [ "http", "websocket" ], "remoteUrl": "https://api.openai.com/v1", "packages": [ { "registry": "pypi", "name": "openai" } ], "auth": "api-key", "authNotes": "Bearer API key created by a person in the platform console (https://platform.openai.com/settings/organization/api-keys). Projects can carry a model allowlist or denylist and an IP allowlist, and Admin API keys are a separate credential that cannot call the audio endpoints (https://developers.openai.com/api/docs/guides/admin-apis).", "pricing": "usage", "pricingNotes": "$0.0045 an audio minute for `gpt-transcribe` and $0.017 for `gpt-live-transcribe`, billed from prepaid credits (https://developers.openai.com/api/docs/pricing). The rate limits guide names a Free tier with a $100 monthly usage limit, and the `gpt-transcribe` model page lists limits only from the Build tier, which needs $5 of credit purchases. Whether a new account can transcribe without paying was not established.", "priceSummary": "Pay per use", "where": "hosted", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the transcription guides, the endpoint reference, the pricing page or the OpenAPI document (checked 2026-10-09).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": 31785, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-10-09" }, "docsUrl": "https://developers.openai.com/api/docs/guides/speech-to-text", "llmsTxt": "https://developers.openai.com/llms.txt", "openapi": "https://github.com/openai/openai-openapi/blob/main/openapi.yaml", "capabilities": [ "speech.stt", "speech.streaming", "speech.batch", "speech.diarisation", "speech.languages" ], "tags": [ "official", "hosted", "model", "streaming", "diarisation", "llms-txt", "openapi", "python", "typescript", "go", "java" ], "lastRelease": "2026-08-26", "graded": true, "anchor": { "graded": true, "score": 72.4, "grade": "BB", "agentReady": true, "rank": 106, "ranked": true, "rankOf": 961, "categoryRank": 3, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 78, "maintenance": 75, "payments": 20, "reliability": 80, "schema": 88, "security": 86, "transparency": 61 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-09" }, "negative": 0, "verdict": "`gpt-transcribe` costs $0.0045 an audio minute, and the audio endpoints keep no abuse-monitoring logs or application state. Speaker labels, timestamps, subtitles and translation exist only on `whisper-1` and `gpt-4o-transcribe-diarize`, which shut down on 26 February 2027 with no named replacement for those functions.", "bestFor": "Suited to plain transcription of recorded files at a low price a minute and to teams already holding an OpenAI key.", "strengths": [ "`gpt-transcribe` is priced at $0.0045 an audio minute on a public page, with per-tier request limits of 5,000, 10,000 and 30,000 a minute", "The data controls page lists `/v1/audio/transcriptions` and `/v1/audio/translations` with no training, no abuse-monitoring retention and no stored application state", "A public OpenAPI 3.1 document, llms.txt and a Markdown twin of every docs page cover the audio endpoints", "The status page has an Audio component, shown at 100% uptime for July to October 2026", "Guide examples cover JavaScript, Python, Go, Java, C#, Ruby, a CLI and curl, and `file` and `model` are the only required fields" ], "weaknesses": [ "`whisper-1`, `gpt-4o-transcribe`, `gpt-4o-mini-transcribe` and `gpt-4o-transcribe-diarize` were deprecated on 26 August 2026 and shut down on 26 February 2027", "The two named replacements return no speaker labels, word timestamps, `srt` or `vtt` output or English translation in the reviewed documentation", "Uploads stop at 25 MB, the caller splits longer recordings, and the `gpt-transcribe` model page marks the Batch API as not supported", "The Markdown twin of the endpoint reference lists the response fields and omits the request parameters, and its first example names a deprecated model", "openai.com answered our reader with a bot check, so the service terms, privacy policy, sub-processor list and any SLA were not read" ], "agentNotes": [ "Send `gpt-transcribe` to `POST /v1/audio/transcriptions` for recorded files. Use `languages` (a list), not `language`, and never send both.", "Keep each upload at 25 MB or less. Split longer audio between sentences and pass the previous chunk's text in `prompt`.", "For speaker labels send `gpt-4o-transcribe-diarize` with `response_format=diarized_json` and `chunking_strategy=auto` for audio over 30 seconds. Plan for its shutdown on 26 February 2027.", "Word timestamps, `srt`, `vtt` and `/v1/audio/translations` need `whisper-1`, which cannot stream and shuts down on the same date.", "On 429 or 503 wait at least `Retry-After` when present, then back off with jitter. Do not retry `credit_balance_exhausted` or spend-limit errors." ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 0, "avgRating": 0, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "BB", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 72.4 } ], "editorialScores": { "ergonomics": 78, "maintenance": 75, "payments": 20, "reliability": 80, "schema": 88, "security": 86, "transparency": 62 }, "provenanceScore": 59 }, "connect": { "install": "pip install openai", "http": "curl --request POST \\\n --url https://api.openai.com/v1/audio/transcriptions \\\n --header \"Authorization: Bearer $OPENAI_API_KEY\" \\\n --header 'Content-Type: multipart/form-data' \\\n --form file=@/path/to/file/audio.mp3 \\\n --form model=gpt-transcribe" }, "letme": { "capability": "https://letme.dev/speech.stt", "tool": "https://letme.dev/openai-speech-to-text" }, "sameCompany": [ "openai-api", "openai-embeddings", "openai-guardrails", "openai-moderation", "openai-image-api", "openai-sora", "openai-realtime", "openai-agents-sdk", "openai-decisions-api", "openai-codex" ], "area": "voice", "unitPrices": [ { "item": "gpt-transcribe", "unit": "audio-minute", "usd": 0.0045 }, { "item": "gpt-live-transcribe (live audio)", "unit": "audio-minute", "usd": 0.017 }, { "item": "whisper-1 (deprecated)", "unit": "audio-minute", "usd": 0.006 }, { "item": "gpt-4o-transcribe-diarize (deprecated, estimated from token prices)", "unit": "audio-minute", "usd": 0.006 } ], "provenance": { "legalEntity": "", "domain": "openai.com", "domainRegistered": "", "domainNote": "openai.com answered our researcher with a bot check on 9 October 2026, so the terms and privacy policy were not read on that day. The links are the two documents OpenAI's other listings here carry. openai.com answers our policy reader with HTTP 403 as well, so neither document has been read and both are recorded as unreadable. security.txt is PGP-signed with Bugcrowd and email contacts and has no Expires field.", "endpointOnVendorDomain": true, "terms": "https://openai.com/policies/services-agreement/", "privacy": "https://openai.com/policies/privacy-policy/", "statusPage": "https://status.openai.com", "changelog": "https://developers.openai.com/api/docs/changelog", "securityTxt": "valid", "checked": "2026-10-09", "score": 59 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/openai-speech-to-text.json", "live": { "slug": "openai-speech-to-text", "probe": { "target": "https://api.openai.com/v1", "method": "get", "lastAt": "2026-10-11T05:01:47.195096121Z", "lastOk": true, "lastStatus": 404, "lastMs": 142, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 135, "p95ms24h": 158, "samples24h": 248, "samples30d": 384, "days": [ { "date": "2026-10-09", "probes": 85, "ok": 85 }, { "date": "2026-10-10", "probes": 247, "ok": 247 }, { "date": "2026-10-11", "probes": 52, "ok": 52 } ] }, "vendorStatus": { "page": "https://status.openai.com", "indicator": "minor", "summary": "Partial System Degradation", "checkedAt": "2026-10-11T04:54:57.991724514Z" }, "versions": [ { "registry": "github", "name": "openai/openai-python", "version": "v3.28.0", "released": "2026-10-09", "seenAt": "2026-10-10T18:04:29.642997998Z" }, { "registry": "pypi", "name": "openai", "version": "3.28.0", "released": "2026-10-09", "seenAt": "2026-10-10T18:04:29.524822523Z" } ], "githubStars": 31795, "pypiWeekly": 75062896, "securityTxt": { "url": "https://openai.com/.well-known/security.txt", "state": "valid", "checkedAt": "2026-10-10T15:41:12.685334683Z" }, "llmsTxt": { "url": "https://developers.openai.com/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-10-10T14:04:57.75841041Z" }, "updatedAt": "2026-10-11T05:01:47.195096121Z" } }, "facts": [ { "a": "Model API", "b": "Model API", "name": "Kind" }, { "a": "Cartesia", "b": "OpenAI", "name": "Vendor" }, { "a": "https://api.cartesia.ai", "b": "https://api.openai.com/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": "Pay per use", "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. The service terms were not read (see open questions). The Python SDK is Apache-2.0 and the OpenAPI document is MIT", "name": "Licence" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "yes", "b": "yes", "name": "llms.txt" }, { "a": "2026-09-17", "b": "2026-08-26", "name": "Last release" }, { "a": "2024-06-14", "b": "couldn't be read", "name": "Terms last updated" }, { "a": "2024-06-14", "b": "couldn't be read", "name": "Privacy policy last updated" }, { "a": "yes, with an opt-out", "b": "couldn't be read", "name": "Customer content may train models" }, { "a": "yes", "b": "couldn't be read", "name": "Terms restrict automated access" }, { "a": "yes", "b": "couldn't be read", "name": "Terms restrict benchmarking" }, { "a": "not found in the text", "b": "couldn't be read", "name": "Terms or service can change without notice" }, { "a": "yes", "b": "couldn't be read", "name": "Arbitration or class-action waiver" }, { "a": "134 stars", "b": "32k stars", "name": "Popularity" } ], "faq": [ { "answer": "OpenAI Speech to Text scores 72.4 (BB) on agent readiness against Cartesia Ink's 67.9 (B), and leads in 3 of 7 scored categories. Cartesia Ink leads on payments \u0026 pricing, maintenance \u0026 community and transparency \u0026 trust.", "question": "Which is better for AI agents, Cartesia Ink or OpenAI Speech to Text?" }, { "answer": "Both need an API key.", "question": "Do Cartesia Ink and OpenAI Speech to Text need an API key?" }, { "answer": "Yes. Cartesia Ink has a hosted endpoint at https://api.cartesia.ai and OpenAI Speech to Text at https://api.openai.com/v1.", "question": "Can an agent call Cartesia Ink and OpenAI Speech to Text without installing anything?" } ], "goodFor": [ { "aheadOn": [ "Payments \u0026 pricing, 35 against 20", "Maintenance \u0026 community, 85 against 75", "Transparency \u0026 trust, 67 against 61" ], "also": null, "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": [ "Reliability, 80 against 73", "Security \u0026 auth, 86 against 52" ], "also": [ "Agent-ready, a grade of BB or better" ], "goodFor": "Suited to plain transcription of recorded files at a low price a minute and to teams already holding an OpenAI key.", "slug": "openai-speech-to-text", "watchFor": "`whisper-1`, `gpt-4o-transcribe`, `gpt-4o-mini-transcribe` and `gpt-4o-transcribe-diarize` were deprecated on 26 August 2026 and shut down on 26 February 2027" } ], "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-openai-speech-to-text.json", "title": "Amazon Transcribe vs OpenAI Speech to Text", "url": "https://www.anchorterminal.com/compare/amazon-transcribe-vs-openai-speech-to-text" }, { "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-openai-speech-to-text.json", "title": "AssemblyAI Speech-to-Text (Universal) vs OpenAI Speech to Text", "url": "https://www.anchorterminal.com/compare/assemblyai-stt-vs-openai-speech-to-text" }, { "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-openai-speech-to-text.json", "title": "Azure AI Speech speech-to-text vs OpenAI Speech to Text", "url": "https://www.anchorterminal.com/compare/azure-speech-to-text-vs-openai-speech-to-text" }, { "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-mistral-voxtral-transcribe.json", "title": "Cartesia Ink vs Mistral Voxtral Transcribe", "url": "https://www.anchorterminal.com/compare/cartesia-ink-stt-vs-mistral-voxtral-transcribe" }, { "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-openai-speech-to-text.json", "title": "Deepgram Speech-to-Text (Nova-3, Flux) vs OpenAI Speech to Text", "url": "https://www.anchorterminal.com/compare/deepgram-stt-vs-openai-speech-to-text" }, { "json": "https://www.anchorterminal.com/compare/elevenlabs-scribe-vs-openai-speech-to-text.json", "title": "ElevenLabs Scribe Speech to Text API vs OpenAI Speech to Text", "url": "https://www.anchorterminal.com/compare/elevenlabs-scribe-vs-openai-speech-to-text" }, { "json": "https://www.anchorterminal.com/compare/gladia-stt-vs-openai-speech-to-text.json", "title": "Gladia Speech-to-Text API + MCP vs OpenAI Speech to Text", "url": "https://www.anchorterminal.com/compare/gladia-stt-vs-openai-speech-to-text" }, { "json": "https://www.anchorterminal.com/compare/google-speech-to-text-vs-openai-speech-to-text.json", "title": "Google Cloud Speech-to-Text vs OpenAI Speech to Text", "url": "https://www.anchorterminal.com/compare/google-speech-to-text-vs-openai-speech-to-text" }, { "json": "https://www.anchorterminal.com/compare/groq-speech-to-text-vs-openai-speech-to-text.json", "title": "Groq Speech-to-Text vs OpenAI Speech to Text", "url": "https://www.anchorterminal.com/compare/groq-speech-to-text-vs-openai-speech-to-text" }, { "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/openai-speech-to-text-vs-rev-ai-stt.json", "title": "OpenAI Speech to Text vs Rev AI Speech-to-Text API", "url": "https://www.anchorterminal.com/compare/openai-speech-to-text-vs-rev-ai-stt" }, { "json": "https://www.anchorterminal.com/compare/openai-speech-to-text-vs-soniox-stt.json", "title": "OpenAI Speech to Text vs Soniox Speech-to-Text", "url": "https://www.anchorterminal.com/compare/openai-speech-to-text-vs-soniox-stt" }, { "json": "https://www.anchorterminal.com/compare/openai-speech-to-text-vs-speechmatics-stt.json", "title": "OpenAI Speech to Text vs Speechmatics Speech-to-Text", "url": "https://www.anchorterminal.com/compare/openai-speech-to-text-vs-speechmatics-stt" } ], "scores": [ { "by": 7, "cartesia-ink-stt": 73, "edge": "openai-speech-to-text", "key": "reliability", "name": "Reliability", "openai-speech-to-text": 80, "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 1, "cartesia-ink-stt": 89, "edge": "cartesia-ink-stt", "key": "schema", "name": "Schema \u0026 documentation", "openai-speech-to-text": 88, "weight": 13 }, { "by": 4, "cartesia-ink-stt": 74, "edge": "openai-speech-to-text", "key": "ergonomics", "name": "Agent ergonomics", "openai-speech-to-text": 78, "weight": 13 }, { "by": 34, "cartesia-ink-stt": 52, "edge": "openai-speech-to-text", "key": "security", "name": "Security \u0026 auth", "openai-speech-to-text": 86, "weight": 14 }, { "by": 15, "cartesia-ink-stt": 35, "edge": "cartesia-ink-stt", "key": "payments", "name": "Payments \u0026 pricing", "openai-speech-to-text": 20, "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 10, "cartesia-ink-stt": 85, "edge": "cartesia-ink-stt", "key": "maintenance", "name": "Maintenance \u0026 community", "openai-speech-to-text": 75, "weight": 7 }, { "by": 6, "cartesia-ink-stt": 67, "edge": "cartesia-ink-stt", "key": "transparency", "name": "Transparency \u0026 trust", "openai-speech-to-text": 61, "weight": 7 } ], "summary": "OpenAI Speech to Text scores 72.4 (BB) on agent readiness against Cartesia Ink's 67.9 (B), and leads in 3 of 7 scored categories. Cartesia Ink leads on payments \u0026 pricing, maintenance \u0026 community 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.", "openai-speech-to-text": "`gpt-transcribe` costs $0.0045 an audio minute, and the audio endpoints keep no abuse-monitoring logs or application state. Speaker labels, timestamps, subtitles and translation exist only on `whisper-1` and `gpt-4o-transcribe-diarize`, which shut down on 26 February 2027 with no named replacement for those functions." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/cartesia-ink-stt-vs-openai-speech-to-text", "json": "https://www.anchorterminal.com/compare/cartesia-ink-stt-vs-openai-speech-to-text.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/cartesia-ink-stt-vs-openai-speech-to-text.md", "slim": "https://www.anchorterminal.com/compare/cartesia-ink-stt-vs-openai-speech-to-text.min.md" }, "markdown": "OpenAI Speech to Text scores 72.4 (BB) on agent readiness against Cartesia Ink's 67.9 (B), and leads in 3 of 7 scored categories. Cartesia Ink leads on payments \u0026 pricing, maintenance \u0026 community and transparency \u0026 trust. Both do speech-to-text.\n\n- Cartesia Ink: grade B, 67.9/100, rank #240 of 961. Markdown https://www.anchorterminal.com/tools/cartesia-ink-stt.md · JSON https://www.anchorterminal.com/api/v1/tools/cartesia-ink-stt.json\n- OpenAI Speech to Text: grade BB, 72.4/100, rank #106 of 961. Markdown https://www.anchorterminal.com/tools/openai-speech-to-text.md · JSON https://www.anchorterminal.com/api/v1/tools/openai-speech-to-text.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- Payments \u0026 pricing, 35 against 20\n- Maintenance \u0026 community, 85 against 75\n- Transparency \u0026 trust, 67 against 61\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### OpenAI Speech to Text (BB)\n\nGood for: Suited to plain transcription of recorded files at a low price a minute and to teams already holding an OpenAI key.\n\nAhead on:\n- Reliability, 80 against 73\n- Security \u0026 auth, 86 against 52\n\nAlso in its favour:\n- Agent-ready, a grade of BB or better\n\nWatch for: `whisper-1`, `gpt-4o-transcribe`, `gpt-4o-mini-transcribe` and `gpt-4o-transcribe-diarize` were deprecated on 26 August 2026 and shut down on 26 February 2027\n\n\n## Score by category\n\n| Category | Weight | Cartesia Ink | OpenAI Speech to Text | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 73 | 80 | OpenAI Speech to Text +7 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 89 | 88 | Cartesia Ink +1 |\n| Agent ergonomics | 13% (16.2 this run) | 74 | 78 | OpenAI Speech to Text +4 |\n| Security \u0026 auth | 14% (17.5 this run) | 52 | 86 | OpenAI Speech to Text +34 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 35 | 20 | Cartesia Ink +15 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 85 | 75 | Cartesia Ink +10 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 67 | 61 | Cartesia Ink +6 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **67.9 · B** | **72.4 · BB** | |\n\n## Facts side by side\n\n| Fact | Cartesia Ink | OpenAI Speech to Text |\n| --- | --- | --- |\n| Kind | Model API | Model API |\n| Vendor | Cartesia | OpenAI |\n| Hosted endpoint | `https://api.cartesia.ai` | `https://api.openai.com/v1` |\n| Transports | HTTP, websocket, Streamable HTTP | HTTP, websocket |\n| Auth | API key | API key |\n| Pricing | Freemium | Pay per use |\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. The service terms were not read (see open questions). The Python SDK is Apache-2.0 and the OpenAPI document is MIT |\n| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| Last release | 2026-09-17 | 2026-08-26 |\n| Terms last updated | 2024-06-14 | couldn't be read |\n| Privacy policy last updated | 2024-06-14 | couldn't be read |\n| Customer content may train models | yes, with an opt-out | couldn't be read |\n| Terms restrict automated access | yes | couldn't be read |\n| Terms restrict benchmarking | yes | couldn't be read |\n| Terms or service can change without notice | not found in the text | couldn't be read |\n| Arbitration or class-action waiver | yes | couldn't be read |\n| Popularity | 134 stars | 32k 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**OpenAI Speech to Text.** `gpt-transcribe` costs $0.0045 an audio minute, and the audio endpoints keep no abuse-monitoring logs or application state. Speaker labels, timestamps, subtitles and translation exist only on `whisper-1` and `gpt-4o-transcribe-diarize`, which shut down on 26 February 2027 with no named replacement for those functions.\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### OpenAI Speech to Text\n\n1. Send `gpt-transcribe` to `POST /v1/audio/transcriptions` for recorded files. Use `languages` (a list), not `language`, and never send both.\n2. Keep each upload at 25 MB or less. Split longer audio between sentences and pass the previous chunk's text in `prompt`.\n3. For speaker labels send `gpt-4o-transcribe-diarize` with `response_format=diarized_json` and `chunking_strategy=auto` for audio over 30 seconds. Plan for its shutdown on 26 February 2027.\n4. Word timestamps, `srt`, `vtt` and `/v1/audio/translations` need `whisper-1`, which cannot stream and shuts down on the same date.\n5. On 429 or 503 wait at least `Retry-After` when present, then back off with jitter. Do not retry `credit_balance_exhausted` or spend-limit errors.\n\n## Questions\n\n### Which is better for AI agents, Cartesia Ink or OpenAI Speech to Text?\n\nOpenAI Speech to Text scores 72.4 (BB) on agent readiness against Cartesia Ink's 67.9 (B), and leads in 3 of 7 scored categories. Cartesia Ink leads on payments \u0026 pricing, maintenance \u0026 community and transparency \u0026 trust.\n\n### Do Cartesia Ink and OpenAI Speech to Text need an API key?\n\nBoth need an API key.\n\n### Can an agent call Cartesia Ink and OpenAI Speech to Text without installing anything?\n\nYes. Cartesia Ink has a hosted endpoint at https://api.cartesia.ai and OpenAI Speech to Text at https://api.openai.com/v1.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/cartesia-ink-stt-vs-openai-speech-to-text.json, and with the fewest tokens: https://www.anchorterminal.com/compare/cartesia-ink-stt-vs-openai-speech-to-text.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"cartesia-ink-stt\", \"b\": \"openai-speech-to-text\"}`. From a terminal: `anchor compare cartesia-ink-stt openai-speech-to-text`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/cartesia-ink-stt.json and https://www.anchorterminal.com/api/v1/tools/openai-speech-to-text.json\n\n## Other comparisons with Cartesia Ink or OpenAI Speech to Text\n\n- [Amazon Transcribe vs Cartesia Ink](https://www.anchorterminal.com/compare/amazon-transcribe-vs-cartesia-ink-stt.md)\n- [Amazon Transcribe vs OpenAI Speech to Text](https://www.anchorterminal.com/compare/amazon-transcribe-vs-openai-speech-to-text.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 OpenAI Speech to Text](https://www.anchorterminal.com/compare/assemblyai-stt-vs-openai-speech-to-text.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 OpenAI Speech to Text](https://www.anchorterminal.com/compare/azure-speech-to-text-vs-openai-speech-to-text.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 Mistral Voxtral Transcribe](https://www.anchorterminal.com/compare/cartesia-ink-stt-vs-mistral-voxtral-transcribe.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 OpenAI Speech to Text](https://www.anchorterminal.com/compare/deepgram-stt-vs-openai-speech-to-text.md)\n- [ElevenLabs Scribe Speech to Text API vs OpenAI Speech to Text](https://www.anchorterminal.com/compare/elevenlabs-scribe-vs-openai-speech-to-text.md)\n- [Gladia Speech-to-Text API + MCP vs OpenAI Speech to Text](https://www.anchorterminal.com/compare/gladia-stt-vs-openai-speech-to-text.md)\n- [Google Cloud Speech-to-Text vs OpenAI Speech to Text](https://www.anchorterminal.com/compare/google-speech-to-text-vs-openai-speech-to-text.md)\n- [Groq Speech-to-Text vs OpenAI Speech to Text](https://www.anchorterminal.com/compare/groq-speech-to-text-vs-openai-speech-to-text.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- [OpenAI Speech to Text vs Rev AI Speech-to-Text API](https://www.anchorterminal.com/compare/openai-speech-to-text-vs-rev-ai-stt.md)\n- [OpenAI Speech to Text vs Soniox Speech-to-Text](https://www.anchorterminal.com/compare/openai-speech-to-text-vs-soniox-stt.md)\n- [OpenAI Speech to Text vs Speechmatics Speech-to-Text](https://www.anchorterminal.com/compare/openai-speech-to-text-vs-speechmatics-stt.md)\n", "meta": { "attribution": "Anchor Terminal (https://www.anchorterminal.com)", "docs": "https://www.anchorterminal.com/docs/", "generatedAt": "2026-10-11", "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 OpenAI Speech to Text", "url": "" } ], "description": "OpenAI Speech to Text scores 72.4 (BB) to Cartesia Ink's 67.9 (B) for speech-to-text. Prices, MCP, x402, uptime and agent notes side by side.", "facts": [ "Cartesia Ink B 67.9", "OpenAI Speech to Text BB 72.4", "scores" ], "h1": "Cartesia Ink vs OpenAI Speech to Text", "image": "https://www.anchorterminal.com/assets/og/compare-cartesia-ink-stt-vs-openai-speech-to-text.png", "path": "/compare/cartesia-ink-stt-vs-openai-speech-to-text", "published": "2026-10-01", "section": "tools", "title": "Cartesia Ink vs OpenAI Speech to Text for AI agents (2026)", "toc": null, "updated": "2026-10-10", "url": "https://www.anchorterminal.com/compare/cartesia-ink-stt-vs-openai-speech-to-text" }, "tokens": { "markdown": 2900, "slim": 780 }, "version": 1 }