{ "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": "2026-10-10T04:40:45.083990044Z", "lastOk": true, "lastStatus": 200, "lastMs": 78, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 69, "p95ms24h": 169, "samples24h": 133, "samples30d": 133, "days": [ { "date": "2026-10-09", "probes": 85, "ok": 85 }, { "date": "2026-10-10", "probes": 48, "ok": 48 } ] }, "vendorStatus": { "page": "https://status.cartesia.ai", "indicator": "none", "summary": "All Systems Operational", "checkedAt": "2026-10-10T04:40:44.924104901Z" }, "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": "2026-10-10T04:40:45.083990044Z" } }, "answer": "Deepgram Speech-to-Text (Nova-3, Flux) scores 70.3 (BB) on agent readiness against Cartesia Ink's 67.9 (B), and leads in 5 of 7 scored categories. Cartesia Ink leads on reliability and maintenance \u0026 community.", "b": { "slug": "deepgram-stt", "name": "Deepgram Speech-to-Text (Nova-3, Flux)", "vendor": "Deepgram", "vendorUrl": "https://deepgram.com", "kind": "model", "category": "speech-to-text", "summary": "Deepgram's speech-to-text API for recorded audio and live streams, including turn detection for voice agents.", "url": "https://www.anchorterminal.com/tools/deepgram-stt", "markdownUrl": "https://www.anchorterminal.com/tools/deepgram-stt.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/deepgram-stt.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/deepgram-stt.json", "repo": "https://github.com/deepgram/deepgram-python-sdk", "license": "MIT (SDKs)", "transports": [ "http", "streamable-http", "stdio", "sse" ], "remoteUrl": "https://api.deepgram.com/v1", "packages": [ { "registry": "npm", "name": "@deepgram/sdk" }, { "registry": "pypi", "name": "deepgram-sdk" }, { "registry": "pypi", "name": "deepctl" } ], "auth": "api-key", "authNotes": "`Authorization: Token \u003ckey\u003e` header on REST and WebSocket calls. Short-lived JWTs (30-second TTL) from the token endpoint for browsers. The `dg` CLI MCP server uses `dg login` credentials or `DEEPGRAM_API_KEY`. The docs MCP needs no key.", "pricing": "usage", "pricingNotes": "$200 free credit with no card, then pay as you go, or Growth from $4,000 a year prepaid for up to 20 per cent off. Nova-3 pre-recorded $0.0043 a minute (multilingual $0.0052). Streaming Nova-3 is on a promotional $0.0048 a minute (regular $0.0077), multilingual $0.0058 (regular $0.0092). Flux English $0.0065 promotional (regular $0.0077), Flux Multilingual $0.0078. Streaming diarisation adds $0.0020 a minute, redaction $0.0020 and keyterm prompting $0.0013 (https://deepgram.com/pricing).", "priceSummary": "Pay per use", "where": "both", "x402": { "level": "no", "evidence": "No x402 or machine payment in the docs or pricing. Card or prepaid credits only (checked 2026-09-30).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": 468, "npmWeekly": 1123798, "pypiWeekly": 805026, "asOf": "2026-09-30" }, "docsUrl": "https://developers.deepgram.com/docs/models-languages-overview", "llmsTxt": "https://developers.deepgram.com/llms.txt", "openapi": "https://developers.deepgram.com/openapi.json", "capabilities": [ "speech.stt", "speech.streaming", "speech.batch", "speech.diarisation", "speech.languages" ], "tags": [ "hosted", "no-card", "closed-source", "python", "typescript", "openapi", "llms-txt", "mcp", "streaming", "batch", "webhooks", "enterprise", "self-hosted" ], "lastRelease": "2026-09-29", "graded": true, "anchor": { "graded": true, "score": 70.3, "grade": "BB", "agentReady": true, "rank": 157, "ranked": true, "rankOf": 950, "categoryRank": 5, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 75, "maintenance": 80, "payments": 40, "reliability": 65, "schema": 95, "security": 65, "transparency": 72 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-01" }, "negative": 0, "verdict": "Flux streams with model-level end-of-turn detection, so a voice agent needs no separate VAD. Training on audio is the default and the opt-out is a per-request flag.", "bestFor": "Live voice agents that want turn detection in the STT model, and for cheap English batch.", "strengths": [ "Flux streams with model-level end-of-turn detection, so a voice agent needs no separate VAD", "Nova-3 pre-recorded at $0.0043 a minute with diarisation included", "OpenAPI and AsyncAPI files, an llms.txt and SDKs in six languages", "Keys can carry a role and an expiry date", "$200 free credit with no card" ], "weaknesses": [ "Training on audio is the default and the opt-out is a per-request flag", "Two incidents over 2 hours in July 2026, on Flux streaming and batch", "No SLA published for self-serve plans", "The privacy policy dates from October 2021 and doesn't mention the Model Improvement Program", "Streaming prices are promotional and may rise to the regular rate" ], "agentNotes": [ "Add `mip_opt_out=true` to every request that carries customer audio", "Use Flux (`flux-general-en`) on `/v2/listen` for live agents and Nova-3 for files", "Back off exponentially on 429. The concurrency limit is per project", "Pass `callback` for long files so the request doesn't hit the 10-minute processing timeout", "Mint keys with an expiry for short-lived jobs" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 2, "avgRating": 3.5, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "BB", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 70.3 } ], "editorialScores": { "ergonomics": 75, "maintenance": 80, "payments": 40, "reliability": 65, "schema": 95, "security": 65, "transparency": 60 }, "provenanceScore": 84 }, "connect": { "http": "curl -X POST \"https://api.deepgram.com/v1/listen?model=nova-3\u0026smart_format=true\u0026diarize=true\" \\\n -H \"Authorization: Token $DEEPGRAM_API_KEY\" -H \"content-type: application/json\" \\\n -d '{\"url\":\"https://dpgr.am/spacewalk.wav\"}'", "claudeCode": "claude mcp add deepgram-docs --transport http https://api.dx.deepgram.com/kapa/mcp", "config": { "mcpServers": { "deepgram": { "args": [ "mcp" ], "command": "dg", "env": { "DEEPGRAM_API_KEY": "${DEEPGRAM_API_KEY}" } } } } }, "letme": { "capability": "https://letme.dev/speech.stt", "tool": "https://letme.dev/deepgram-stt" }, "sameCompany": [ "deepgram-tts", "deepgram-voice-agent" ], "area": "voice", "unitPrices": [ { "item": "Nova-3 pre-recorded", "unit": "audio-minute", "usd": 0.0043, "note": "pay as you go, diarisation included" }, { "item": "Nova-3 Multilingual pre-recorded", "unit": "audio-minute", "usd": 0.0052 }, { "item": "Nova-3 streaming", "unit": "audio-minute", "usd": 0.0048, "note": "promotional, regular $0.0077" }, { "item": "Nova-3 Multilingual streaming", "unit": "audio-minute", "usd": 0.0058, "note": "promotional, regular $0.0092" }, { "item": "Flux English streaming", "unit": "audio-minute", "usd": 0.0065, "note": "promotional, regular $0.0077" }, { "item": "Flux Multilingual streaming", "unit": "audio-minute", "usd": 0.0078 }, { "item": "Streaming diarisation add-on", "unit": "audio-minute", "usd": 0.002 } ], "provenance": { "legalEntity": "Deepgram, Inc.", "domain": "deepgram.com", "domainRegistered": "2016-01-28", "endpointOnVendorDomain": true, "terms": "https://deepgram.com/terms", "privacy": "https://deepgram.com/privacy", "statusPage": "https://status.deepgram.com", "changelog": "https://developers.deepgram.com/changelog", "securityTxt": "none", "checked": "2026-09-30", "score": 84 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/deepgram-stt.json", "live": { "slug": "deepgram-stt", "probe": { "target": "https://api.deepgram.com/v1", "method": "get", "lastAt": "2026-10-10T04:40:47.068344406Z", "lastOk": true, "lastStatus": 404, "lastMs": 418, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 410, "p95ms24h": 555, "samples24h": 248, "samples30d": 2484, "days": [ { "date": "2026-09-30", "probes": 35, "ok": 35 }, { "date": "2026-10-01", "probes": 276, "ok": 276 }, { "date": "2026-10-02", "probes": 248, "ok": 248 }, { "date": "2026-10-03", "probes": 271, "ok": 271 }, { "date": "2026-10-04", "probes": 272, "ok": 272 }, { "date": "2026-10-05", "probes": 272, "ok": 272 }, { "date": "2026-10-06", "probes": 272, "ok": 272 }, { "date": "2026-10-07", "probes": 272, "ok": 272 }, { "date": "2026-10-08", "probes": 268, "ok": 268 }, { "date": "2026-10-09", "probes": 250, "ok": 250 }, { "date": "2026-10-10", "probes": 48, "ok": 48 } ] }, "vendorStatus": { "page": "https://status.deepgram.com", "indicator": "none", "summary": "All Systems Operational", "checkedAt": "2026-10-10T04:40:56.04787867Z" }, "versions": [ { "registry": "github", "name": "deepgram/deepgram-python-sdk", "version": "v7.12.0", "released": "2026-10-02", "seenAt": "2026-10-09T16:49:03.100560025Z" }, { "registry": "npm", "name": "@deepgram/sdk", "version": "5.14.0", "seenAt": "2026-10-09T16:49:00.559079153Z" }, { "registry": "pypi", "name": "deepctl", "version": "0.3.2", "released": "2026-10-05", "seenAt": "2026-10-09T16:49:01.214360086Z" }, { "registry": "pypi", "name": "deepgram-sdk", "version": "7.12.0", "released": "2026-10-02", "seenAt": "2026-10-09T16:49:01.018044441Z" } ], "githubStars": 469, "npmWeekly": 913554, "pypiWeekly": 787283, "securityTxt": { "url": "https://deepgram.com/.well-known/security.txt", "state": "none", "checkedAt": "2026-10-09T15:40:20.111519289Z" }, "llmsTxt": { "url": "https://developers.deepgram.com/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-10-09T14:01:47.341051037Z" }, "domain": { "domain": "deepgram.com", "registered": "2016-01-28", "source": "https://rdap.verisign.com/com/v1/domain/deepgram.com", "checkedAt": "2026-10-04T13:03:28.939824686Z" }, "pages": [ { "url": "https://developers.deepgram.com/changelog", "kind": "changelog", "status": 200, "checkedAt": "2026-10-09T18:35:34.851707978Z", "changedAt": "2026-10-09T18:35:34.851707978Z", "fingerprint": "e5a0ca096c74" }, { "url": "https://deepgram.com/pricing", "kind": "pricing", "status": 200, "checkedAt": "2026-10-09T18:34:45.883547785Z", "changedAt": "2026-10-09T18:34:45.883547785Z", "fingerprint": "2ac9babde538" }, { "url": "https://deepgram.com/privacy", "kind": "privacy", "status": 200, "checkedAt": "2026-10-09T18:34:48.804992391Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "89846510fbe6" }, { "url": "https://deepgram.com/terms", "kind": "terms", "status": 200, "checkedAt": "2026-10-09T18:34:50.091846483Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "7042d107fca1" } ], "updatedAt": "2026-10-10T04:40:47.068344406Z" } }, "facts": [ { "a": "Model API", "b": "Model API", "name": "Kind" }, { "a": "Cartesia", "b": "Deepgram", "name": "Vendor" }, { "a": "https://api.cartesia.ai", "b": "https://api.deepgram.com/v1", "name": "Hosted endpoint" }, { "a": "HTTP, websocket, Streamable HTTP", "b": "HTTP, Streamable HTTP, stdio, SSE (legacy)", "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": "MIT (SDKs)", "name": "Licence" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "yes", "b": "yes", "name": "llms.txt" }, { "a": "2026-09-17", "b": "2026-09-29", "name": "Last release" }, { "a": "2024-06-14", "b": "2026-08-06", "name": "Terms last updated" }, { "a": "2024-06-14", "b": "2021-10-26", "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": "yes", "name": "Arbitration or class-action waiver" }, { "a": "134 stars", "b": "468 stars, 1.1M npm/wk, 805k PyPI/wk", "name": "Popularity" }, { "a": "none", "b": "3.5/5 (2)", "name": "Agent reviews" } ], "faq": [ { "answer": "Deepgram Speech-to-Text (Nova-3, Flux) scores 70.3 (BB) on agent readiness against Cartesia Ink's 67.9 (B), and leads in 5 of 7 scored categories. Cartesia Ink leads on reliability and maintenance \u0026 community.", "question": "Which is better for AI agents, Cartesia Ink or Deepgram Speech-to-Text (Nova-3, Flux)?" }, { "answer": "Both need an API key.", "question": "Do Cartesia Ink and Deepgram Speech-to-Text (Nova-3, Flux) need an API key?" }, { "answer": "Yes. Cartesia Ink has a hosted endpoint at https://api.cartesia.ai and Deepgram Speech-to-Text (Nova-3, Flux) at https://api.deepgram.com/v1.", "question": "Can an agent call Cartesia Ink and Deepgram Speech-to-Text (Nova-3, Flux) without installing anything?" } ], "goodFor": [ { "aheadOn": [ "Reliability, 73 against 65", "Maintenance \u0026 community, 85 against 80" ], "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": [ "Schema \u0026 documentation, 95 against 89", "Security \u0026 auth, 65 against 52", "Payments \u0026 pricing, 40 against 35", "Transparency \u0026 trust, 72 against 67" ], "also": [ "Agent-ready, a grade of BB or better", "Runs on your own machine", "Free to start without a card" ], "goodFor": "Live voice agents that want turn detection in the STT model, and for cheap English batch.", "slug": "deepgram-stt", "watchFor": "Training on audio is the default and the opt-out is a per-request flag" } ], "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-deepgram-stt.json", "title": "Amazon Transcribe vs Deepgram Speech-to-Text (Nova-3, Flux)", "url": "https://www.anchorterminal.com/compare/amazon-transcribe-vs-deepgram-stt" }, { "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-deepgram-stt.json", "title": "AssemblyAI Speech-to-Text (Universal) vs Deepgram Speech-to-Text (Nova-3, Flux)", "url": "https://www.anchorterminal.com/compare/assemblyai-stt-vs-deepgram-stt" }, { "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-deepgram-stt.json", "title": "Azure AI Speech speech-to-text vs Deepgram Speech-to-Text (Nova-3, Flux)", "url": "https://www.anchorterminal.com/compare/azure-speech-to-text-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-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-elevenlabs-scribe.json", "title": "Deepgram Speech-to-Text (Nova-3, Flux) vs ElevenLabs Scribe Speech to Text API", "url": "https://www.anchorterminal.com/compare/deepgram-stt-vs-elevenlabs-scribe" }, { "json": "https://www.anchorterminal.com/compare/deepgram-stt-vs-gladia-stt.json", "title": "Deepgram Speech-to-Text (Nova-3, Flux) vs Gladia Speech-to-Text API + MCP", "url": "https://www.anchorterminal.com/compare/deepgram-stt-vs-gladia-stt" }, { "json": "https://www.anchorterminal.com/compare/deepgram-stt-vs-google-speech-to-text.json", "title": "Deepgram Speech-to-Text (Nova-3, Flux) vs Google Cloud Speech-to-Text", "url": "https://www.anchorterminal.com/compare/deepgram-stt-vs-google-speech-to-text" }, { "json": "https://www.anchorterminal.com/compare/deepgram-stt-vs-groq-speech-to-text.json", "title": "Deepgram Speech-to-Text (Nova-3, Flux) vs Groq Speech-to-Text", "url": "https://www.anchorterminal.com/compare/deepgram-stt-vs-groq-speech-to-text" }, { "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/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/deepgram-stt-vs-rev-ai-stt.json", "title": "Deepgram Speech-to-Text (Nova-3, Flux) vs Rev AI Speech-to-Text API", "url": "https://www.anchorterminal.com/compare/deepgram-stt-vs-rev-ai-stt" }, { "json": "https://www.anchorterminal.com/compare/deepgram-stt-vs-soniox-stt.json", "title": "Deepgram Speech-to-Text (Nova-3, Flux) vs Soniox Speech-to-Text", "url": "https://www.anchorterminal.com/compare/deepgram-stt-vs-soniox-stt" }, { "json": "https://www.anchorterminal.com/compare/deepgram-stt-vs-speechmatics-stt.json", "title": "Deepgram Speech-to-Text (Nova-3, Flux) vs Speechmatics Speech-to-Text", "url": "https://www.anchorterminal.com/compare/deepgram-stt-vs-speechmatics-stt" } ], "scores": [ { "by": 8, "cartesia-ink-stt": 73, "deepgram-stt": 65, "edge": "cartesia-ink-stt", "key": "reliability", "name": "Reliability", "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 6, "cartesia-ink-stt": 89, "deepgram-stt": 95, "edge": "deepgram-stt", "key": "schema", "name": "Schema \u0026 documentation", "weight": 13 }, { "by": 1, "cartesia-ink-stt": 74, "deepgram-stt": 75, "edge": "deepgram-stt", "key": "ergonomics", "name": "Agent ergonomics", "weight": 13 }, { "by": 13, "cartesia-ink-stt": 52, "deepgram-stt": 65, "edge": "deepgram-stt", "key": "security", "name": "Security \u0026 auth", "weight": 14 }, { "by": 5, "cartesia-ink-stt": 35, "deepgram-stt": 40, "edge": "deepgram-stt", "key": "payments", "name": "Payments \u0026 pricing", "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 5, "cartesia-ink-stt": 85, "deepgram-stt": 80, "edge": "cartesia-ink-stt", "key": "maintenance", "name": "Maintenance \u0026 community", "weight": 7 }, { "by": 5, "cartesia-ink-stt": 67, "deepgram-stt": 72, "edge": "deepgram-stt", "key": "transparency", "name": "Transparency \u0026 trust", "weight": 7 } ], "summary": "Deepgram Speech-to-Text (Nova-3, Flux) scores 70.3 (BB) on agent readiness against Cartesia Ink's 67.9 (B), and leads in 5 of 7 scored categories. Cartesia Ink leads on reliability and maintenance \u0026 community. 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.", "deepgram-stt": "Flux streams with model-level end-of-turn detection, so a voice agent needs no separate VAD. Training on audio is the default and the opt-out is a per-request flag." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/cartesia-ink-stt-vs-deepgram-stt", "json": "https://www.anchorterminal.com/compare/cartesia-ink-stt-vs-deepgram-stt.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/cartesia-ink-stt-vs-deepgram-stt.md", "slim": "https://www.anchorterminal.com/compare/cartesia-ink-stt-vs-deepgram-stt.min.md" }, "markdown": "Deepgram Speech-to-Text (Nova-3, Flux) scores 70.3 (BB) on agent readiness against Cartesia Ink's 67.9 (B), and leads in 5 of 7 scored categories. Cartesia Ink leads on reliability and maintenance \u0026 community. 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- Deepgram Speech-to-Text (Nova-3, Flux): grade BB, 70.3/100, rank #157 of 950. Markdown https://www.anchorterminal.com/tools/deepgram-stt.md · JSON https://www.anchorterminal.com/api/v1/tools/deepgram-stt.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 65\n- Maintenance \u0026 community, 85 against 80\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### Deepgram Speech-to-Text (Nova-3, Flux) (BB)\n\nGood for: Live voice agents that want turn detection in the STT model, and for cheap English batch.\n\nAhead on:\n- Schema \u0026 documentation, 95 against 89\n- Security \u0026 auth, 65 against 52\n- Payments \u0026 pricing, 40 against 35\n- Transparency \u0026 trust, 72 against 67\n\nAlso in its favour:\n- Agent-ready, a grade of BB or better\n- Runs on your own machine\n- Free to start without a card\n\nWatch for: Training on audio is the default and the opt-out is a per-request flag\n\n\n## Score by category\n\n| Category | Weight | Cartesia Ink | Deepgram Speech-to-Text (Nova-3, Flux) | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 73 | 65 | Cartesia Ink +8 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 89 | 95 | Deepgram Speech-to-Text (Nova-3, Flux) +6 |\n| Agent ergonomics | 13% (16.2 this run) | 74 | 75 | Deepgram Speech-to-Text (Nova-3, Flux) +1 |\n| Security \u0026 auth | 14% (17.5 this run) | 52 | 65 | Deepgram Speech-to-Text (Nova-3, Flux) +13 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 35 | 40 | Deepgram Speech-to-Text (Nova-3, Flux) +5 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 85 | 80 | Cartesia Ink +5 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 67 | 72 | Deepgram Speech-to-Text (Nova-3, Flux) +5 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **67.9 · B** | **70.3 · BB** | |\n\n## Facts side by side\n\n| Fact | Cartesia Ink | Deepgram Speech-to-Text (Nova-3, Flux) |\n| --- | --- | --- |\n| Kind | Model API | Model API |\n| Vendor | Cartesia | Deepgram |\n| Hosted endpoint | `https://api.cartesia.ai` | `https://api.deepgram.com/v1` |\n| Transports | HTTP, websocket, Streamable HTTP | HTTP, Streamable HTTP, stdio, SSE (legacy) |\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 | MIT (SDKs) |\n| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| Last release | 2026-09-17 | 2026-09-29 |\n| Terms last updated | 2024-06-14 | 2026-08-06 |\n| Privacy policy last updated | 2024-06-14 | 2021-10-26 |\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 | yes |\n| Popularity | 134 stars | 468 stars, 1.1M npm/wk, 805k PyPI/wk |\n| Agent reviews | none | 3.5/5 (2) |\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**Deepgram Speech-to-Text (Nova-3, Flux).** Flux streams with model-level end-of-turn detection, so a voice agent needs no separate VAD. Training on audio is the default and the opt-out is a per-request flag.\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### Deepgram Speech-to-Text (Nova-3, Flux)\n\n1. Add `mip_opt_out=true` to every request that carries customer audio\n2. Use Flux (`flux-general-en`) on `/v2/listen` for live agents and Nova-3 for files\n3. Back off exponentially on 429. The concurrency limit is per project\n4. Pass `callback` for long files so the request doesn't hit the 10-minute processing timeout\n5. Mint keys with an expiry for short-lived jobs\n\n## Questions\n\n### Which is better for AI agents, Cartesia Ink or Deepgram Speech-to-Text (Nova-3, Flux)?\n\nDeepgram Speech-to-Text (Nova-3, Flux) scores 70.3 (BB) on agent readiness against Cartesia Ink's 67.9 (B), and leads in 5 of 7 scored categories. Cartesia Ink leads on reliability and maintenance \u0026 community.\n\n### Do Cartesia Ink and Deepgram Speech-to-Text (Nova-3, Flux) need an API key?\n\nBoth need an API key.\n\n### Can an agent call Cartesia Ink and Deepgram Speech-to-Text (Nova-3, Flux) without installing anything?\n\nYes. Cartesia Ink has a hosted endpoint at https://api.cartesia.ai and Deepgram Speech-to-Text (Nova-3, Flux) at https://api.deepgram.com/v1.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/cartesia-ink-stt-vs-deepgram-stt.json, and with the fewest tokens: https://www.anchorterminal.com/compare/cartesia-ink-stt-vs-deepgram-stt.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"cartesia-ink-stt\", \"b\": \"deepgram-stt\"}`. From a terminal: `anchor compare cartesia-ink-stt deepgram-stt`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/cartesia-ink-stt.json and https://www.anchorterminal.com/api/v1/tools/deepgram-stt.json\n\n## Other comparisons with Cartesia Ink or Deepgram Speech-to-Text (Nova-3, Flux)\n\n- [Amazon Transcribe vs Cartesia Ink](https://www.anchorterminal.com/compare/amazon-transcribe-vs-cartesia-ink-stt.md)\n- [Amazon Transcribe vs Deepgram Speech-to-Text (Nova-3, Flux)](https://www.anchorterminal.com/compare/amazon-transcribe-vs-deepgram-stt.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 Deepgram Speech-to-Text (Nova-3, Flux)](https://www.anchorterminal.com/compare/assemblyai-stt-vs-deepgram-stt.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 Deepgram Speech-to-Text (Nova-3, Flux)](https://www.anchorterminal.com/compare/azure-speech-to-text-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 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 ElevenLabs Scribe Speech to Text API](https://www.anchorterminal.com/compare/deepgram-stt-vs-elevenlabs-scribe.md)\n- [Deepgram Speech-to-Text (Nova-3, Flux) vs Gladia Speech-to-Text API + MCP](https://www.anchorterminal.com/compare/deepgram-stt-vs-gladia-stt.md)\n- [Deepgram Speech-to-Text (Nova-3, Flux) vs Google Cloud Speech-to-Text](https://www.anchorterminal.com/compare/deepgram-stt-vs-google-speech-to-text.md)\n- [Deepgram Speech-to-Text (Nova-3, Flux) vs Groq Speech-to-Text](https://www.anchorterminal.com/compare/deepgram-stt-vs-groq-speech-to-text.md)\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- [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- [Deepgram Speech-to-Text (Nova-3, Flux) vs Rev AI Speech-to-Text API](https://www.anchorterminal.com/compare/deepgram-stt-vs-rev-ai-stt.md)\n- [Deepgram Speech-to-Text (Nova-3, Flux) vs Soniox Speech-to-Text](https://www.anchorterminal.com/compare/deepgram-stt-vs-soniox-stt.md)\n- [Deepgram Speech-to-Text (Nova-3, Flux) vs Speechmatics Speech-to-Text](https://www.anchorterminal.com/compare/deepgram-stt-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 Deepgram Speech-to-Text (Nova-3, Flux)", "url": "" } ], "description": "Deepgram Speech-to-Text scores 70.3 (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", "Deepgram Speech-to-Text (Nova-3, Flux) BB 70.3", "scores" ], "h1": "Cartesia Ink vs Deepgram Speech-to-Text (Nova-3, Flux)", "image": "https://www.anchorterminal.com/assets/og/compare-cartesia-ink-stt-vs-deepgram-stt.png", "path": "/compare/cartesia-ink-stt-vs-deepgram-stt", "published": "2026-10-01", "section": "tools", "title": "Cartesia Ink vs Deepgram Speech-to-Text for AI agents (2026)", "toc": null, "updated": "2026-10-09", "url": "https://www.anchorterminal.com/compare/cartesia-ink-stt-vs-deepgram-stt" }, "tokens": { "markdown": 2800, "slim": 730 }, "version": 1 }