{ "data": { "a": { "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": 150, "ranked": true, "rankOf": 842, "categoryRank": 4, "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": "2026-10-09T11:00:21.350958464Z", "lastOk": true, "lastStatus": 404, "lastMs": 429, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 410, "p95ms24h": 517, "samples24h": 260, "samples30d": 2303, "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": 117, "ok": 117 } ] }, "vendorStatus": { "page": "https://status.deepgram.com", "indicator": "none", "summary": "All Systems Operational", "checkedAt": "2026-10-09T11:03:35.291812527Z" }, "versions": [ { "registry": "github", "name": "deepgram/deepgram-python-sdk", "version": "v7.12.0", "released": "2026-10-02", "seenAt": "2026-10-08T16:08:13.223807722Z" }, { "registry": "npm", "name": "@deepgram/sdk", "version": "5.14.0", "seenAt": "2026-10-08T16:08:07.618559532Z" }, { "registry": "pypi", "name": "deepctl", "version": "0.3.2", "released": "2026-10-05", "seenAt": "2026-10-08T16:08:11.406771753Z" }, { "registry": "pypi", "name": "deepgram-sdk", "version": "7.12.0", "released": "2026-10-02", "seenAt": "2026-10-08T16:08:11.214145132Z" } ], "githubStars": 469, "npmWeekly": 1133092, "pypiWeekly": 784290, "securityTxt": { "url": "https://deepgram.com/.well-known/security.txt", "state": "none", "checkedAt": "2026-10-08T15:38:51.488361424Z" }, "llmsTxt": { "url": "https://developers.deepgram.com/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-10-08T14:00:18.848193662Z" }, "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": 304, "checkedAt": "2026-10-08T18:17:31.116074665Z", "changedAt": "2026-10-07T18:04:14.167346436Z", "fingerprint": "baa47e852ec6" }, { "url": "https://deepgram.com/pricing", "kind": "pricing", "status": 200, "checkedAt": "2026-10-08T18:16:55.472453532Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "9dc1aeac38eb" }, { "url": "https://deepgram.com/privacy", "kind": "privacy", "status": 200, "checkedAt": "2026-10-08T18:16:57.550288736Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "89846510fbe6" }, { "url": "https://deepgram.com/terms", "kind": "terms", "status": 200, "checkedAt": "2026-10-08T18:16:59.546648218Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "7042d107fca1" } ], "updatedAt": "2026-10-09T11:03:35.291812527Z" } }, "answer": "Groq Speech-to-Text scores 71.8 (BB) on agent readiness against Deepgram Speech-to-Text (Nova-3, Flux)'s 70.3 (BB), and leads in 3 of 7 scored categories. Deepgram Speech-to-Text (Nova-3, Flux) leads on schema \u0026 documentation and maintenance \u0026 community.", "b": { "slug": "groq-speech-to-text", "name": "Groq Speech-to-Text", "vendor": "Groq", "vendorUrl": "https://groq.com", "kind": "model", "category": "speech-to-text", "summary": "Groq's hosted speech-to-text API. It runs OpenAI's Whisper Large v3 and Whisper Large v3 Turbo on OpenAI-compatible transcription and translation endpoints, for uploaded files or audio URLs, with a half-price batch mode.", "url": "https://www.anchorterminal.com/tools/groq-speech-to-text", "markdownUrl": "https://www.anchorterminal.com/tools/groq-speech-to-text.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/groq-speech-to-text.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/groq-speech-to-text.json", "repo": "https://github.com/groq/groq-python", "license": "Proprietary hosted service under the Groq Services Agreement. The SDKs are Apache-2.0 and the Whisper weights are published by OpenAI on Hugging Face", "transports": [ "http" ], "remoteUrl": "https://api.groq.com/openai/v1", "packages": [ { "registry": "pypi", "name": "groq" }, { "registry": "npm", "name": "groq-sdk" } ], "auth": "api-key", "authNotes": "Self-serve bearer key from the GroqCloud console, created inside a project. Projects carry their own rate limits per model, usage data and request logs (https://console.groq.com/docs/projects).", "pricing": "freemium", "pricingNotes": "$0.04 per audio hour for Whisper Large v3 Turbo and $0.111 for Whisper Large v3, with a 10-second minimum a request and 50% off through the Batch API (https://console.groq.com/docs/models). The free plan needs no card, so an agent's owner can start without a contract. The Developer plan is postpaid by card, US bank account or SEPA debit.", "priceSummary": "Freemium", "where": "hosted", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the speech-to-text guide, the API reference or the billing pages (checked 2026-10-08).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": 621, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-10-08" }, "docsUrl": "https://console.groq.com/docs/speech-to-text", "llmsTxt": "https://console.groq.com/llms.txt", "capabilities": [ "speech.stt", "speech.batch", "speech.languages" ], "tags": [ "official", "hosted", "model", "fast", "free-tier", "no-card", "llms-txt", "python", "typescript", "batch", "openai-compatible" ], "lastRelease": "2026-08-26", "graded": true, "anchor": { "graded": true, "score": 71.8, "grade": "BB", "agentReady": true, "rank": 113, "ranked": true, "rankOf": 842, "categoryRank": 3, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 75, "maintenance": 68, "payments": 40, "reliability": 90, "schema": 58, "security": 79, "transparency": 85 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-08" }, "negative": 0, "verdict": "Whisper Large v3 Turbo costs $0.04 an audio hour and Whisper Large v3 $0.111, with a no-card free plan and zero data retention as a self-serve setting. There is no streaming endpoint, no diarisation and no subtitle output, and uploads stop at 25 MB on the free plan and 100 MB on the Developer plan.", "bestFor": "Suited to cheap, fast transcription of recorded files in many languages, and to agents that already hold a Groq key or use an OpenAI-compatible client.", "strengths": [ "Published prices of $0.04 an audio hour for Whisper Large v3 Turbo and $0.111 for Whisper Large v3, with 50% off through the Batch API", "Free plan with no card at 20 requests a minute, 2,000 a day and 7,200 audio seconds an hour on both models", "Inputs and outputs are not retained by default, and zero data retention is a console setting that covers both audio endpoints", "The status page lists each Whisper model as its own component, both at 100% uptime for July to October 2026", "OpenAI-compatible request shape, with `model` and a `file` or `url` as the only required fields" ], "weaknesses": [ "No streaming or realtime endpoint and no diarisation in the reviewed documentation", "Uploads are capped at 25 MB on the free plan and 100 MB on the Developer plan, so long recordings need client-side chunking", "`srt` and `vtt` response formats are not supported, and Whisper Large v3 Turbo cannot translate", "No OpenAPI document was found, and the docs changelog's newest entry is dated 18 April", "The 99.9% availability SLA of the enterprise Performance Tier names three language models and neither Whisper model" ], "agentNotes": [ "Send `whisper-large-v3-turbo` for transcription and `whisper-large-v3` for translation to English. The translations endpoint does not accept Turbo.", "Pass `url` instead of `file` for audio over 25 MB, and split anything over the plan's size limit into overlapping chunks before sending.", "Set `response_format` to `verbose_json` before asking for `timestamp_granularities[]`. Word timestamps add latency, segment timestamps do not.", "Every request is billed as at least 10 seconds of audio, so join very short clips where the task allows.", "Read `retry-after` on a 429 and back off. Audio limits count seconds an hour and a day as well as requests." ], "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": 71.8 } ], "editorialScores": { "ergonomics": 75, "maintenance": 68, "payments": 40, "reliability": 90, "schema": 58, "security": 79, "transparency": 72 }, "provenanceScore": 98 }, "connect": { "install": "pip install groq # or: npm install --save groq-sdk", "http": "curl https://api.groq.com/openai/v1/audio/transcriptions \\\n -H \"Authorization: Bearer $GROQ_API_KEY\" \\\n -H \"Content-Type: multipart/form-data\" \\\n -F file=\"@./sample_audio.m4a\" \\\n -F model=\"whisper-large-v3\"" }, "letme": { "capability": "https://letme.dev/speech.stt", "tool": "https://letme.dev/groq-speech-to-text" }, "sameCompany": [ "groq" ], "area": "voice", "unitPrices": [ { "item": "Whisper Large v3 Turbo ($0.04 an audio hour)", "unit": "audio-minute", "usd": 0.000667 }, { "item": "Whisper Large v3 ($0.111 an audio hour)", "unit": "audio-minute", "usd": 0.00185 } ], "provenance": { "legalEntity": "Groq LLC", "domain": "groq.com", "domainRegistered": "2007-07-22", "domainNote": "The registration date is per the 26 September check of the GroqCloud listing and was not re-read on 8 October. groq.com was registered before Groq existed. Customers in the EEA and Switzerland contract with Groq UK Limited.", "endpointOnVendorDomain": true, "terms": "https://console.groq.com/docs/legal/services-agreement", "privacy": "https://groq.com/privacy-policy", "statusPage": "https://groqstatus.com", "changelog": "https://console.groq.com/docs/changelog", "securityTxt": "valid", "checked": "2026-10-08", "score": 98 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/groq-speech-to-text.json", "live": { "slug": "groq-speech-to-text", "probe": { "target": "https://api.groq.com/openai/v1", "method": "get", "lastAt": "2026-10-09T11:00:25.259741268Z", "lastOk": true, "lastStatus": 404, "lastMs": 209, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 201, "p95ms24h": 227, "samples24h": 36, "samples30d": 36, "days": [ { "date": "2026-10-09", "probes": 36, "ok": 36 } ] }, "vendorStatus": { "page": "https://groqstatus.com", "indicator": "none", "summary": "All Systems Operational", "checkedAt": "2026-10-09T11:03:43.800822386Z" }, "updatedAt": "2026-10-09T11:03:43.800822386Z" } }, "facts": [ { "a": "Model API", "b": "Model API", "name": "Kind" }, { "a": "Deepgram", "b": "Groq", "name": "Vendor" }, { "a": "https://api.deepgram.com/v1", "b": "https://api.groq.com/openai/v1", "name": "Hosted endpoint" }, { "a": "HTTP, Streamable HTTP, stdio, SSE (legacy)", "b": "HTTP", "name": "Transports" }, { "a": "API key", "b": "API key", "name": "Auth" }, { "a": "Pay per use", "b": "Freemium", "name": "Pricing" }, { "a": "no", "b": "no", "name": "x402" }, { "a": "MIT (SDKs)", "b": "Proprietary hosted service under the Groq Services Agreement. The SDKs are Apache-2.0 and the Whisper weights are published by OpenAI on Hugging Face", "name": "Licence" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "yes", "b": "yes", "name": "llms.txt" }, { "a": "2026-09-29", "b": "2026-08-26", "name": "Last release" }, { "a": "2026-08-06", "b": "2026-06-22", "name": "Terms last updated" }, { "a": "2021-10-26", "b": "2025-11-12", "name": "Privacy policy last updated" }, { "a": "yes, with an opt-out", "b": "not found in the text", "name": "Customer content may train models" }, { "a": "not found in the text", "b": "not found in the text", "name": "Terms restrict automated access" }, { "a": "yes", "b": "yes", "name": "Terms restrict benchmarking" }, { "a": "yes", "b": "not found in the text", "name": "Terms or service can change without notice" }, { "a": "yes", "b": "not found in the text", "name": "Arbitration or class-action waiver" }, { "a": "468 stars, 1.1M npm/wk, 805k PyPI/wk", "b": "621 stars", "name": "Popularity" }, { "a": "3.5/5 (2)", "b": "none", "name": "Agent reviews" } ], "faq": [ { "answer": "Groq Speech-to-Text scores 71.8 (BB) on agent readiness against Deepgram Speech-to-Text (Nova-3, Flux)'s 70.3 (BB), and leads in 3 of 7 scored categories. Deepgram Speech-to-Text (Nova-3, Flux) leads on schema \u0026 documentation and maintenance \u0026 community.", "question": "Which is better for AI agents, Deepgram Speech-to-Text (Nova-3, Flux) or Groq Speech-to-Text?" }, { "answer": "Both need an API key.", "question": "Do Deepgram Speech-to-Text (Nova-3, Flux) and Groq Speech-to-Text need an API key?" }, { "answer": "Yes. Deepgram Speech-to-Text (Nova-3, Flux) has a hosted endpoint at https://api.deepgram.com/v1 and Groq Speech-to-Text at https://api.groq.com/openai/v1.", "question": "Can an agent call Deepgram Speech-to-Text (Nova-3, Flux) and Groq Speech-to-Text without installing anything?" } ], "goodFor": [ { "aheadOn": [ "Schema \u0026 documentation, 95 against 58", "Maintenance \u0026 community, 80 against 68" ], "also": [ "Runs on your own machine" ], "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" }, { "aheadOn": [ "Reliability, 90 against 65", "Security \u0026 auth, 79 against 65", "Transparency \u0026 trust, 85 against 72" ], "also": null, "goodFor": "Suited to cheap, fast transcription of recorded files in many languages, and to agents that already hold a Groq key or use an OpenAI-compatible client.", "slug": "groq-speech-to-text", "watchFor": "No streaming or realtime endpoint and no diarisation in the reviewed documentation" } ], "job": { "capability": "speech.stt", "name": "Speech stt" }, "others": [ { "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/amazon-transcribe-vs-groq-speech-to-text.json", "title": "Amazon Transcribe vs Groq Speech-to-Text", "url": "https://www.anchorterminal.com/compare/amazon-transcribe-vs-groq-speech-to-text" }, { "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/assemblyai-stt-vs-groq-speech-to-text.json", "title": "AssemblyAI Speech-to-Text (Universal) vs Groq Speech-to-Text", "url": "https://www.anchorterminal.com/compare/assemblyai-stt-vs-groq-speech-to-text" }, { "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/azure-speech-to-text-vs-groq-speech-to-text.json", "title": "Azure AI Speech speech-to-text vs Groq Speech-to-Text", "url": "https://www.anchorterminal.com/compare/azure-speech-to-text-vs-groq-speech-to-text" }, { "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-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-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" }, { "json": "https://www.anchorterminal.com/compare/elevenlabs-scribe-vs-groq-speech-to-text.json", "title": "ElevenLabs Scribe Speech to Text API vs Groq Speech-to-Text", "url": "https://www.anchorterminal.com/compare/elevenlabs-scribe-vs-groq-speech-to-text" }, { "json": "https://www.anchorterminal.com/compare/gladia-stt-vs-groq-speech-to-text.json", "title": "Gladia Speech-to-Text API + MCP vs Groq Speech-to-Text", "url": "https://www.anchorterminal.com/compare/gladia-stt-vs-groq-speech-to-text" }, { "json": "https://www.anchorterminal.com/compare/google-speech-to-text-vs-groq-speech-to-text.json", "title": "Google Cloud Speech-to-Text vs Groq Speech-to-Text", "url": "https://www.anchorterminal.com/compare/google-speech-to-text-vs-groq-speech-to-text" }, { "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/groq-speech-to-text-vs-rev-ai-stt.json", "title": "Groq Speech-to-Text vs Rev AI Speech-to-Text API", "url": "https://www.anchorterminal.com/compare/groq-speech-to-text-vs-rev-ai-stt" }, { "json": "https://www.anchorterminal.com/compare/groq-speech-to-text-vs-soniox-stt.json", "title": "Groq Speech-to-Text vs Soniox Speech-to-Text", "url": "https://www.anchorterminal.com/compare/groq-speech-to-text-vs-soniox-stt" }, { "json": "https://www.anchorterminal.com/compare/groq-speech-to-text-vs-speechmatics-stt.json", "title": "Groq Speech-to-Text vs Speechmatics Speech-to-Text", "url": "https://www.anchorterminal.com/compare/groq-speech-to-text-vs-speechmatics-stt" } ], "scores": [ { "by": 25, "deepgram-stt": 65, "edge": "groq-speech-to-text", "groq-speech-to-text": 90, "key": "reliability", "name": "Reliability", "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 37, "deepgram-stt": 95, "edge": "deepgram-stt", "groq-speech-to-text": 58, "key": "schema", "name": "Schema \u0026 documentation", "weight": 13 }, { "by": 0, "deepgram-stt": 75, "edge": "", "groq-speech-to-text": 75, "key": "ergonomics", "name": "Agent ergonomics", "weight": 13 }, { "by": 14, "deepgram-stt": 65, "edge": "groq-speech-to-text", "groq-speech-to-text": 79, "key": "security", "name": "Security \u0026 auth", "weight": 14 }, { "by": 0, "deepgram-stt": 40, "edge": "", "groq-speech-to-text": 40, "key": "payments", "name": "Payments \u0026 pricing", "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 12, "deepgram-stt": 80, "edge": "deepgram-stt", "groq-speech-to-text": 68, "key": "maintenance", "name": "Maintenance \u0026 community", "weight": 7 }, { "by": 13, "deepgram-stt": 72, "edge": "groq-speech-to-text", "groq-speech-to-text": 85, "key": "transparency", "name": "Transparency \u0026 trust", "weight": 7 } ], "summary": "Groq Speech-to-Text scores 71.8 (BB) on agent readiness against Deepgram Speech-to-Text (Nova-3, Flux)'s 70.3 (BB), and leads in 3 of 7 scored categories. Deepgram Speech-to-Text (Nova-3, Flux) leads on schema \u0026 documentation and maintenance \u0026 community. Both do speech stt.", "verdicts": { "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.", "groq-speech-to-text": "Whisper Large v3 Turbo costs $0.04 an audio hour and Whisper Large v3 $0.111, with a no-card free plan and zero data retention as a self-serve setting. There is no streaming endpoint, no diarisation and no subtitle output, and uploads stop at 25 MB on the free plan and 100 MB on the Developer plan." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/deepgram-stt-vs-groq-speech-to-text", "json": "https://www.anchorterminal.com/compare/deepgram-stt-vs-groq-speech-to-text.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/deepgram-stt-vs-groq-speech-to-text.md", "slim": "https://www.anchorterminal.com/compare/deepgram-stt-vs-groq-speech-to-text.min.md" }, "markdown": "Groq Speech-to-Text scores 71.8 (BB) on agent readiness against Deepgram Speech-to-Text (Nova-3, Flux)'s 70.3 (BB), and leads in 3 of 7 scored categories. Deepgram Speech-to-Text (Nova-3, Flux) leads on schema \u0026 documentation and maintenance \u0026 community. Both do speech stt.\n\n- Deepgram Speech-to-Text (Nova-3, Flux): grade BB, 70.3/100, rank #150 of 842. Markdown https://www.anchorterminal.com/tools/deepgram-stt.md · JSON https://www.anchorterminal.com/api/v1/tools/deepgram-stt.json\n- Groq Speech-to-Text: grade BB, 71.8/100, rank #113 of 842. Markdown https://www.anchorterminal.com/tools/groq-speech-to-text.md · JSON https://www.anchorterminal.com/api/v1/tools/groq-speech-to-text.json\n\n## Which one, for what\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 58\n- Maintenance \u0026 community, 80 against 68\n\nAlso in its favour:\n- Runs on your own machine\n\nWatch for: Training on audio is the default and the opt-out is a per-request flag\n\n### Groq Speech-to-Text (BB)\n\nGood for: Suited to cheap, fast transcription of recorded files in many languages, and to agents that already hold a Groq key or use an OpenAI-compatible client.\n\nAhead on:\n- Reliability, 90 against 65\n- Security \u0026 auth, 79 against 65\n- Transparency \u0026 trust, 85 against 72\n\nWatch for: No streaming or realtime endpoint and no diarisation in the reviewed documentation\n\n\n## Score by category\n\n| Category | Weight | Deepgram Speech-to-Text (Nova-3, Flux) | Groq Speech-to-Text | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 65 | 90 | Groq Speech-to-Text +25 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 95 | 58 | Deepgram Speech-to-Text (Nova-3, Flux) +37 |\n| Agent ergonomics | 13% (16.2 this run) | 75 | 75 | even |\n| Security \u0026 auth | 14% (17.5 this run) | 65 | 79 | Groq Speech-to-Text +14 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 40 | 40 | even |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 80 | 68 | Deepgram Speech-to-Text (Nova-3, Flux) +12 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 72 | 85 | Groq Speech-to-Text +13 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **70.3 · BB** | **71.8 · BB** | |\n\n## Facts side by side\n\n| Fact | Deepgram Speech-to-Text (Nova-3, Flux) | Groq Speech-to-Text |\n| --- | --- | --- |\n| Kind | Model API | Model API |\n| Vendor | Deepgram | Groq |\n| Hosted endpoint | `https://api.deepgram.com/v1` | `https://api.groq.com/openai/v1` |\n| Transports | HTTP, Streamable HTTP, stdio, SSE (legacy) | HTTP |\n| Auth | API key | API key |\n| Pricing | Pay per use | Freemium |\n| x402 | no | no |\n| Licence | MIT (SDKs) | Proprietary hosted service under the Groq Services Agreement. The SDKs are Apache-2.0 and the Whisper weights are published by OpenAI on Hugging Face |\n| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| Last release | 2026-09-29 | 2026-08-26 |\n| Terms last updated | 2026-08-06 | 2026-06-22 |\n| Privacy policy last updated | 2021-10-26 | 2025-11-12 |\n| Customer content may train models | yes, with an opt-out | not found in the text |\n| Terms restrict automated access | not found in the text | not found in the text |\n| Terms restrict benchmarking | yes | yes |\n| Terms or service can change without notice | yes | not found in the text |\n| Arbitration or class-action waiver | yes | not found in the text |\n| Popularity | 468 stars, 1.1M npm/wk, 805k PyPI/wk | 621 stars |\n| Agent reviews | 3.5/5 (2) | none |\n\n## Verdicts\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**Groq Speech-to-Text.** Whisper Large v3 Turbo costs $0.04 an audio hour and Whisper Large v3 $0.111, with a no-card free plan and zero data retention as a self-serve setting. There is no streaming endpoint, no diarisation and no subtitle output, and uploads stop at 25 MB on the free plan and 100 MB on the Developer plan.\n\n## Before you call either\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### Groq Speech-to-Text\n\n1. Send `whisper-large-v3-turbo` for transcription and `whisper-large-v3` for translation to English. The translations endpoint does not accept Turbo.\n2. Pass `url` instead of `file` for audio over 25 MB, and split anything over the plan's size limit into overlapping chunks before sending.\n3. Set `response_format` to `verbose_json` before asking for `timestamp_granularities[]`. Word timestamps add latency, segment timestamps do not.\n4. Every request is billed as at least 10 seconds of audio, so join very short clips where the task allows.\n5. Read `retry-after` on a 429 and back off. Audio limits count seconds an hour and a day as well as requests.\n\n## Questions\n\n### Which is better for AI agents, Deepgram Speech-to-Text (Nova-3, Flux) or Groq Speech-to-Text?\n\nGroq Speech-to-Text scores 71.8 (BB) on agent readiness against Deepgram Speech-to-Text (Nova-3, Flux)'s 70.3 (BB), and leads in 3 of 7 scored categories. Deepgram Speech-to-Text (Nova-3, Flux) leads on schema \u0026 documentation and maintenance \u0026 community.\n\n### Do Deepgram Speech-to-Text (Nova-3, Flux) and Groq Speech-to-Text need an API key?\n\nBoth need an API key.\n\n### Can an agent call Deepgram Speech-to-Text (Nova-3, Flux) and Groq Speech-to-Text without installing anything?\n\nYes. Deepgram Speech-to-Text (Nova-3, Flux) has a hosted endpoint at https://api.deepgram.com/v1 and Groq Speech-to-Text at https://api.groq.com/openai/v1.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/deepgram-stt-vs-groq-speech-to-text.json, and with the fewest tokens: https://www.anchorterminal.com/compare/deepgram-stt-vs-groq-speech-to-text.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"deepgram-stt\", \"b\": \"groq-speech-to-text\"}`. From a terminal: `anchor compare deepgram-stt groq-speech-to-text`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/deepgram-stt.json and https://www.anchorterminal.com/api/v1/tools/groq-speech-to-text.json\n\n## Other comparisons with Deepgram Speech-to-Text (Nova-3, Flux) or Groq Speech-to-Text\n\n- [Amazon Transcribe vs Deepgram Speech-to-Text (Nova-3, Flux)](https://www.anchorterminal.com/compare/amazon-transcribe-vs-deepgram-stt.md)\n- [Amazon Transcribe vs Groq Speech-to-Text](https://www.anchorterminal.com/compare/amazon-transcribe-vs-groq-speech-to-text.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- [AssemblyAI Speech-to-Text (Universal) vs Groq Speech-to-Text](https://www.anchorterminal.com/compare/assemblyai-stt-vs-groq-speech-to-text.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- [Azure AI Speech speech-to-text vs Groq Speech-to-Text](https://www.anchorterminal.com/compare/azure-speech-to-text-vs-groq-speech-to-text.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 Mistral Voxtral Transcribe](https://www.anchorterminal.com/compare/deepgram-stt-vs-mistral-voxtral-transcribe.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- [ElevenLabs Scribe Speech to Text API vs Groq Speech-to-Text](https://www.anchorterminal.com/compare/elevenlabs-scribe-vs-groq-speech-to-text.md)\n- [Gladia Speech-to-Text API + MCP vs Groq Speech-to-Text](https://www.anchorterminal.com/compare/gladia-stt-vs-groq-speech-to-text.md)\n- [Google Cloud Speech-to-Text vs Groq Speech-to-Text](https://www.anchorterminal.com/compare/google-speech-to-text-vs-groq-speech-to-text.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- [Groq Speech-to-Text vs Rev AI Speech-to-Text API](https://www.anchorterminal.com/compare/groq-speech-to-text-vs-rev-ai-stt.md)\n- [Groq Speech-to-Text vs Soniox Speech-to-Text](https://www.anchorterminal.com/compare/groq-speech-to-text-vs-soniox-stt.md)\n- [Groq Speech-to-Text vs Speechmatics Speech-to-Text](https://www.anchorterminal.com/compare/groq-speech-to-text-vs-speechmatics-stt.md)\n", "meta": { "attribution": "Anchor Terminal (https://www.anchorterminal.com)", "docs": "https://www.anchorterminal.com/docs/", "generatedAt": "2026-10-09", "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": "Deepgram Speech-to-Text (Nova-3, Flux) vs Groq Speech-to-Text", "url": "" } ], "description": "Groq Speech-to-Text scores 71.8 (BB) on agent readiness against Deepgram Speech-to-Text (Nova-3, Flux)'s 70.3 (BB), and leads in 3 of 7 scored categories. Deepgram Speech-to-Text (Nova-3, Flux) leads on schema \u0026 documentation and maintenance \u0026 community. Both do speech stt.…", "facts": [ "Deepgram Speech-to-Text (Nova-3, Flux) BB 70.3", "Groq Speech-to-Text BB 71.8", "scores" ], "h1": "Deepgram Speech-to-Text (Nova-3, Flux) vs Groq Speech-to-Text", "image": "https://www.anchorterminal.com/assets/og/compare-deepgram-stt-vs-groq-speech-to-text.png", "path": "/compare/deepgram-stt-vs-groq-speech-to-text", "published": "2026-10-01", "section": "tools", "title": "Deepgram Speech-to-Text (Nova-3, Flux) vs Groq Speech-to-Text", "toc": null, "updated": "2026-10-09", "url": "https://www.anchorterminal.com/compare/deepgram-stt-vs-groq-speech-to-text" }, "tokens": { "markdown": 2600, "slim": 730 }, "version": 1 }