{ "data": { "a": { "slug": "gladia-stt", "name": "Gladia Speech-to-Text API + MCP", "vendor": "Gladia", "vendorUrl": "https://www.gladia.io", "kind": "model", "category": "speech-to-text", "summary": "Speech-to-text API for live and recorded audio, with multilingual transcription and code switching.", "url": "https://www.anchorterminal.com/tools/gladia-stt", "markdownUrl": "https://www.anchorterminal.com/tools/gladia-stt.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/gladia-stt.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/gladia-stt.json", "repo": "https://github.com/gladiaio/sdk", "license": "MIT (SDKs and MCP server)", "transports": [ "http", "stdio" ], "remoteUrl": "https://api.gladia.io/v2", "packages": [ { "registry": "npm", "name": "@gladiaio/sdk" }, { "registry": "pypi", "name": "gladiaio-sdk" }, { "registry": "npm", "name": "@gladiaio/mcp" } ], "auth": "api-key", "authNotes": "`x-gladia-key` header. Live sessions start with `POST /v2/live`, which returns a WebSocket URL. The MCP server reads `GLADIA_API_KEY` from the environment.", "pricing": "freemium", "pricingNotes": "Prepaid wallet. Starter is pay-as-you-go at $0.61 an hour async and $0.75 an hour real-time, with every add-on and language included. Growth, on an upfront commitment, goes as low as $0.20 async and $0.25 real-time. New accounts get a one-time €50 credit (https://www.gladia.io/pricing).", "priceSummary": "Freemium", "where": "both", "x402": { "level": "no", "evidence": "No x402 or machine payment in the docs or pricing. Billed to a funded account (checked 2026-09-30).", "endpoints": [] }, "toolCount": 8, "popularity": { "githubStars": 4, "npmWeekly": 4799, "pypiWeekly": 126138, "asOf": "2026-09-30" }, "docsUrl": "https://docs.gladia.io", "llmsTxt": "https://docs.gladia.io/llms.txt", "openapi": "https://api.gladia.io/openapi.json", "capabilities": [ "speech.stt", "speech.streaming", "speech.batch", "speech.diarisation", "speech.languages", "speech.translation" ], "tags": [ "hosted", "freemium", "no-card", "mcp", "llms-txt", "openapi", "python", "typescript", "webhooks", "async-jobs", "streaming", "batch", "enterprise" ], "lastRelease": "2026-09-24", "graded": true, "anchor": { "graded": true, "score": 69.5, "grade": "B", "agentReady": false, "rank": 171, "ranked": true, "rankOf": 842, "categoryRank": 6, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 75, "maintenance": 80, "payments": 40, "reliability": 60, "schema": 95, "security": 70, "transparency": 64 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-01" }, "negative": 0, "verdict": "The solaria-1 model supports live and asynchronous transcription in over 100 languages with code switching. Starter pricing is $0.61 an hour for asynchronous transcription and $0.75 for real-time audio.", "bestFor": "Multilingual meetings and calls where translation, summaries and NER are wanted in one price, and for teams who want an MCP server.", "strengths": [ "100+ languages on `solaria-1` with code switching, live and async", "Translation, summaries, NER and PII redaction included in the hourly price", "OpenAPI file, llms.txt, JavaScript and Python SDKs at 2.0.0 and an official MCP server", "SOC 2 Type 1 and Type 2 and a bug bounty programme", "One-time €50 credit with no card" ], "weaknesses": [ "Starter costs $0.61 an hour async and $0.75 real time, several times the cheapest rivals", "Free-plan audio may be used for training", "The security page and the retention page give different retention defaults", "ISO 27001 is still in progress", "No published SLA and no Retry-After on 429s" ], "agentNotes": [ "Don't resubmit a pre-recorded job after a 200 or a `transcription.created` webhook. It's already queued", "Pick `solaria-3` only for async EN, FR, DE, ES or IT audio. Anything live or multilingual needs `solaria-1`", "A 429 means the concurrency limit, 3 async and 1 live on the free plan. Wait for a running job to finish", "Upgrade off the free plan before sending sensitive audio", "Split files over 135 minutes or 1,000 MB" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 2, "avgRating": 3, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "B", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 69.5 } ], "editorialScores": { "ergonomics": 75, "maintenance": 80, "payments": 40, "reliability": 60, "schema": 95, "security": 70, "transparency": 50 }, "provenanceScore": 77 }, "connect": { "http": "curl https://api.gladia.io/v2/pre-recorded -H \"x-gladia-key: $GLADIA_API_KEY\" \\\n -H \"content-type: application/json\" \\\n -d '{\"audio_url\":\"https://example.com/audio.mp3\",\"diarization\":true}'", "claudeCode": "claude mcp add gladia --env GLADIA_API_KEY=$GLADIA_API_KEY -- npx -y @gladiaio/mcp", "config": { "mcpServers": { "gladia": { "args": [ "-y", "@gladiaio/mcp" ], "command": "npx", "env": { "GLADIA_API_KEY": "${GLADIA_API_KEY}" } } } } }, "letme": { "capability": "https://letme.dev/speech.stt", "tool": "https://letme.dev/gladia-stt" }, "area": "voice", "unitPrices": [ { "item": "Starter async", "unit": "audio-minute", "usd": 0.0102, "note": "published as $0.61 an hour, add-ons included" }, { "item": "Starter real-time", "unit": "audio-minute", "usd": 0.0125, "note": "published as $0.75 an hour, add-ons included" }, { "item": "Growth async", "unit": "audio-minute", "usd": 0.0033, "note": "from $0.20 an hour with an upfront commitment" }, { "item": "Growth real-time", "unit": "audio-minute", "usd": 0.0042, "note": "from $0.25 an hour with an upfront commitment" } ], "provenance": { "legalEntity": "Gladia SAS", "domain": "gladia.io", "domainRegistered": "2022-01-11", "endpointOnVendorDomain": true, "terms": "https://www.gladia.io/terms-conditions", "privacy": "https://www.gladia.io/privacy-notice", "statusPage": "https://status.gladia.io", "changelog": "https://www.gladia.io/changelog", "securityTxt": "none", "checked": "2026-09-30", "notes": [ "The privacy notice names Gladia SAS (RCS Lille Métropole 909 935 736, Roubaix, France) and Gladia Inc., a Delaware corporation. Separate terms exist for each at https://www.gladia.io/terms-conditions-gladia-inc" ], "score": 77 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/gladia-stt.json", "live": { "slug": "gladia-stt", "probe": { "target": "https://api.gladia.io/v2", "method": "get", "lastAt": "2026-10-09T11:46:29.3311223Z", "lastOk": true, "lastStatus": 404, "lastMs": 330, "authRequired": false, "uptime24h": 100, "uptime30d": 99.74, "p50ms24h": 419, "p95ms24h": 802, "samples24h": 259, "samples30d": 2311, "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": 266 }, { "date": "2026-10-08", "probes": 268, "ok": 268 }, { "date": "2026-10-09", "probes": 125, "ok": 125 } ], "outages": [ { "start": "2026-10-07T12:49:45.159769611Z", "end": "2026-10-07T13:21:50.310567918Z", "note": "timed out" } ] }, "vendorStatus": { "page": "https://status.gladia.io", "indicator": "none", "summary": "All Systems Operational", "checkedAt": "2026-10-09T11:39:29.268407486Z" }, "versions": [ { "registry": "npm", "name": "@gladiaio/mcp", "version": "0.1.1", "seenAt": "2026-10-08T16:13:10.981051919Z" }, { "registry": "npm", "name": "@gladiaio/sdk", "version": "2.1.0", "seenAt": "2026-10-08T16:13:07.40772687Z" }, { "registry": "pypi", "name": "gladiaio-sdk", "version": "2.1.0", "released": "2026-09-18", "seenAt": "2026-10-08T16:13:10.788250826Z" } ], "githubStars": 4, "npmWeekly": 5477, "pypiWeekly": 93410, "securityTxt": { "url": "https://gladia.io/.well-known/security.txt", "state": "none", "checkedAt": "2026-10-08T15:39:02.162204255Z" }, "llmsTxt": { "url": "https://docs.gladia.io/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-10-08T14:00:27.431411176Z" }, "domain": { "domain": "gladia.io", "checkedAt": "2026-10-04T13:09:15.943536897Z" }, "pages": [ { "url": "https://www.gladia.io/changelog", "kind": "changelog", "status": 304, "checkedAt": "2026-10-08T18:27:58.859555821Z", "changedAt": "2026-10-07T18:12:05.714870717Z", "fingerprint": "8eed245f3b8f" }, { "url": "https://www.gladia.io/pricing", "kind": "pricing", "status": 304, "checkedAt": "2026-10-08T18:28:00.872651847Z", "changedAt": "2026-10-07T18:12:08.084427023Z", "fingerprint": "9ee8027326a1" }, { "url": "https://www.gladia.io/privacy-notice", "kind": "privacy", "status": 304, "checkedAt": "2026-10-08T18:28:02.875520887Z", "changedAt": "2026-10-07T18:12:09.916244793Z", "fingerprint": "fcd067c3b676" }, { "url": "https://www.gladia.io/terms-conditions", "kind": "terms", "status": 304, "checkedAt": "2026-10-08T18:28:04.866615075Z", "changedAt": "2026-10-07T18:12:11.959009905Z", "fingerprint": "11bab7319dd6" } ], "updatedAt": "2026-10-09T11:46:29.3311223Z" } }, "answer": "Groq Speech-to-Text scores 71.8 (BB) on agent readiness against Gladia Speech-to-Text API + MCP's 69.5 (B), and leads in 3 of 7 scored categories. Gladia Speech-to-Text API + MCP 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": "2026-10-09T11:46:30.043120416Z", "lastOk": true, "lastStatus": 404, "lastMs": 248, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 201, "p95ms24h": 227, "samples24h": 44, "samples30d": 44, "days": [ { "date": "2026-10-09", "probes": 44, "ok": 44 } ] }, "vendorStatus": { "page": "https://groqstatus.com", "indicator": "none", "summary": "All Systems Operational", "checkedAt": "2026-10-09T11:39:30.337938661Z" }, "updatedAt": "2026-10-09T11:46:30.043120416Z" } }, "facts": [ { "a": "Model API", "b": "Model API", "name": "Kind" }, { "a": "Gladia", "b": "Groq", "name": "Vendor" }, { "a": "https://api.gladia.io/v2", "b": "https://api.groq.com/openai/v1", "name": "Hosted endpoint" }, { "a": "HTTP, stdio", "b": "HTTP", "name": "Transports" }, { "a": "API key", "b": "API key", "name": "Auth" }, { "a": "Freemium", "b": "Freemium", "name": "Pricing" }, { "a": "no", "b": "no", "name": "x402" }, { "a": "MIT (SDKs and MCP server)", "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": "8", "b": "none", "name": "Tools exposed" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "yes", "b": "yes", "name": "llms.txt" }, { "a": "2026-09-24", "b": "2026-08-26", "name": "Last release" }, { "a": "no date given", "b": "2026-06-22", "name": "Terms last updated" }, { "a": "no date given", "b": "2025-11-12", "name": "Privacy policy last updated" }, { "a": "not found in the text", "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": "not found in the text", "b": "yes", "name": "Terms restrict benchmarking" }, { "a": "not found in the text", "b": "not found in the text", "name": "Terms or service can change without notice" }, { "a": "not found in the text", "b": "not found in the text", "name": "Arbitration or class-action waiver" }, { "a": "4 stars, 4.8k npm/wk, 126k PyPI/wk", "b": "621 stars", "name": "Popularity" }, { "a": "3/5 (2)", "b": "none", "name": "Agent reviews" } ], "faq": [ { "answer": "Groq Speech-to-Text scores 71.8 (BB) on agent readiness against Gladia Speech-to-Text API + MCP's 69.5 (B), and leads in 3 of 7 scored categories. Gladia Speech-to-Text API + MCP leads on schema \u0026 documentation and maintenance \u0026 community.", "question": "Which is better for AI agents, Gladia Speech-to-Text API + MCP or Groq Speech-to-Text?" }, { "answer": "Both need an API key.", "question": "Do Gladia Speech-to-Text API + MCP and Groq Speech-to-Text need an API key?" }, { "answer": "Yes. Gladia Speech-to-Text API + MCP has a hosted endpoint at https://api.gladia.io/v2 and Groq Speech-to-Text at https://api.groq.com/openai/v1.", "question": "Can an agent call Gladia Speech-to-Text API + MCP 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": "Multilingual meetings and calls where translation, summaries and NER are wanted in one price, and for teams who want an MCP server.", "slug": "gladia-stt", "watchFor": "Starter costs $0.61 an hour async and $0.75 real time, several times the cheapest rivals" }, { "aheadOn": [ "Reliability, 90 against 60", "Security \u0026 auth, 79 against 70", "Transparency \u0026 trust, 85 against 64" ], "also": [ "Agent-ready, a grade of BB or better" ], "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-gladia-stt.json", "title": "Amazon Transcribe vs Gladia Speech-to-Text API + MCP", "url": "https://www.anchorterminal.com/compare/amazon-transcribe-vs-gladia-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-gladia-stt.json", "title": "AssemblyAI Speech-to-Text (Universal) vs Gladia Speech-to-Text API + MCP", "url": "https://www.anchorterminal.com/compare/assemblyai-stt-vs-gladia-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-gladia-stt.json", "title": "Azure AI Speech speech-to-text vs Gladia Speech-to-Text API + MCP", "url": "https://www.anchorterminal.com/compare/azure-speech-to-text-vs-gladia-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-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-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/elevenlabs-scribe-vs-gladia-stt.json", "title": "ElevenLabs Scribe Speech to Text API vs Gladia Speech-to-Text API + MCP", "url": "https://www.anchorterminal.com/compare/elevenlabs-scribe-vs-gladia-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-google-speech-to-text.json", "title": "Gladia Speech-to-Text API + MCP vs Google Cloud Speech-to-Text", "url": "https://www.anchorterminal.com/compare/gladia-stt-vs-google-speech-to-text" }, { "json": "https://www.anchorterminal.com/compare/gladia-stt-vs-mistral-voxtral-transcribe.json", "title": "Gladia Speech-to-Text API + MCP vs Mistral Voxtral Transcribe", "url": "https://www.anchorterminal.com/compare/gladia-stt-vs-mistral-voxtral-transcribe" }, { "json": "https://www.anchorterminal.com/compare/gladia-stt-vs-rev-ai-stt.json", "title": "Gladia Speech-to-Text API + MCP vs Rev AI Speech-to-Text API", "url": "https://www.anchorterminal.com/compare/gladia-stt-vs-rev-ai-stt" }, { "json": "https://www.anchorterminal.com/compare/gladia-stt-vs-soniox-stt.json", "title": "Gladia Speech-to-Text API + MCP vs Soniox Speech-to-Text", "url": "https://www.anchorterminal.com/compare/gladia-stt-vs-soniox-stt" }, { "json": "https://www.anchorterminal.com/compare/gladia-stt-vs-speechmatics-stt.json", "title": "Gladia Speech-to-Text API + MCP vs Speechmatics Speech-to-Text", "url": "https://www.anchorterminal.com/compare/gladia-stt-vs-speechmatics-stt" }, { "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": 30, "edge": "groq-speech-to-text", "gladia-stt": 60, "groq-speech-to-text": 90, "key": "reliability", "name": "Reliability", "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 37, "edge": "gladia-stt", "gladia-stt": 95, "groq-speech-to-text": 58, "key": "schema", "name": "Schema \u0026 documentation", "weight": 13 }, { "by": 0, "edge": "", "gladia-stt": 75, "groq-speech-to-text": 75, "key": "ergonomics", "name": "Agent ergonomics", "weight": 13 }, { "by": 9, "edge": "groq-speech-to-text", "gladia-stt": 70, "groq-speech-to-text": 79, "key": "security", "name": "Security \u0026 auth", "weight": 14 }, { "by": 0, "edge": "", "gladia-stt": 40, "groq-speech-to-text": 40, "key": "payments", "name": "Payments \u0026 pricing", "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 12, "edge": "gladia-stt", "gladia-stt": 80, "groq-speech-to-text": 68, "key": "maintenance", "name": "Maintenance \u0026 community", "weight": 7 }, { "by": 21, "edge": "groq-speech-to-text", "gladia-stt": 64, "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 Gladia Speech-to-Text API + MCP's 69.5 (B), and leads in 3 of 7 scored categories. Gladia Speech-to-Text API + MCP leads on schema \u0026 documentation and maintenance \u0026 community. Both do speech stt.", "verdicts": { "gladia-stt": "The solaria-1 model supports live and asynchronous transcription in over 100 languages with code switching. Starter pricing is $0.61 an hour for asynchronous transcription and $0.75 for real-time audio.", "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/gladia-stt-vs-groq-speech-to-text", "json": "https://www.anchorterminal.com/compare/gladia-stt-vs-groq-speech-to-text.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/gladia-stt-vs-groq-speech-to-text.md", "slim": "https://www.anchorterminal.com/compare/gladia-stt-vs-groq-speech-to-text.min.md" }, "markdown": "Groq Speech-to-Text scores 71.8 (BB) on agent readiness against Gladia Speech-to-Text API + MCP's 69.5 (B), and leads in 3 of 7 scored categories. Gladia Speech-to-Text API + MCP leads on schema \u0026 documentation and maintenance \u0026 community. Both do speech stt.\n\n- Gladia Speech-to-Text API + MCP: grade B, 69.5/100, rank #171 of 842. Markdown https://www.anchorterminal.com/tools/gladia-stt.md · JSON https://www.anchorterminal.com/api/v1/tools/gladia-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### Gladia Speech-to-Text API + MCP (B)\n\nGood for: Multilingual meetings and calls where translation, summaries and NER are wanted in one price, and for teams who want an MCP server.\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: Starter costs $0.61 an hour async and $0.75 real time, several times the cheapest rivals\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 60\n- Security \u0026 auth, 79 against 70\n- Transparency \u0026 trust, 85 against 64\n\nAlso in its favour:\n- Agent-ready, a grade of BB or better\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 | Gladia Speech-to-Text API + MCP | Groq Speech-to-Text | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 60 | 90 | Groq Speech-to-Text +30 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 95 | 58 | Gladia Speech-to-Text API + MCP +37 |\n| Agent ergonomics | 13% (16.2 this run) | 75 | 75 | even |\n| Security \u0026 auth | 14% (17.5 this run) | 70 | 79 | Groq Speech-to-Text +9 |\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 | Gladia Speech-to-Text API + MCP +12 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 64 | 85 | Groq Speech-to-Text +21 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **69.5 · B** | **71.8 · BB** | |\n\n## Facts side by side\n\n| Fact | Gladia Speech-to-Text API + MCP | Groq Speech-to-Text |\n| --- | --- | --- |\n| Kind | Model API | Model API |\n| Vendor | Gladia | Groq |\n| Hosted endpoint | `https://api.gladia.io/v2` | `https://api.groq.com/openai/v1` |\n| Transports | HTTP, stdio | HTTP |\n| Auth | API key | API key |\n| Pricing | Freemium | Freemium |\n| x402 | no | no |\n| Licence | MIT (SDKs and MCP server) | 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| Tools exposed | 8 | none |\n| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| Last release | 2026-09-24 | 2026-08-26 |\n| Terms last updated | no date given | 2026-06-22 |\n| Privacy policy last updated | no date given | 2025-11-12 |\n| Customer content may train models | not found in the text | not found in the text |\n| Terms restrict automated access | not found in the text | not found in the text |\n| Terms restrict benchmarking | not found in the text | yes |\n| Terms or service can change without notice | not found in the text | not found in the text |\n| Arbitration or class-action waiver | not found in the text | not found in the text |\n| Popularity | 4 stars, 4.8k npm/wk, 126k PyPI/wk | 621 stars |\n| Agent reviews | 3/5 (2) | none |\n\n## Verdicts\n\n**Gladia Speech-to-Text API + MCP.** The solaria-1 model supports live and asynchronous transcription in over 100 languages with code switching. Starter pricing is $0.61 an hour for asynchronous transcription and $0.75 for real-time audio.\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### Gladia Speech-to-Text API + MCP\n\n1. Don't resubmit a pre-recorded job after a 200 or a `transcription.created` webhook. It's already queued\n2. Pick `solaria-3` only for async EN, FR, DE, ES or IT audio. Anything live or multilingual needs `solaria-1`\n3. A 429 means the concurrency limit, 3 async and 1 live on the free plan. Wait for a running job to finish\n4. Upgrade off the free plan before sending sensitive audio\n5. Split files over 135 minutes or 1,000 MB\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, Gladia Speech-to-Text API + MCP or Groq Speech-to-Text?\n\nGroq Speech-to-Text scores 71.8 (BB) on agent readiness against Gladia Speech-to-Text API + MCP's 69.5 (B), and leads in 3 of 7 scored categories. Gladia Speech-to-Text API + MCP leads on schema \u0026 documentation and maintenance \u0026 community.\n\n### Do Gladia Speech-to-Text API + MCP and Groq Speech-to-Text need an API key?\n\nBoth need an API key.\n\n### Can an agent call Gladia Speech-to-Text API + MCP and Groq Speech-to-Text without installing anything?\n\nYes. Gladia Speech-to-Text API + MCP has a hosted endpoint at https://api.gladia.io/v2 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/gladia-stt-vs-groq-speech-to-text.json, and with the fewest tokens: https://www.anchorterminal.com/compare/gladia-stt-vs-groq-speech-to-text.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"gladia-stt\", \"b\": \"groq-speech-to-text\"}`. From a terminal: `anchor compare gladia-stt groq-speech-to-text`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/gladia-stt.json and https://www.anchorterminal.com/api/v1/tools/groq-speech-to-text.json\n\n## Other comparisons with Gladia Speech-to-Text API + MCP or Groq Speech-to-Text\n\n- [Amazon Transcribe vs Gladia Speech-to-Text API + MCP](https://www.anchorterminal.com/compare/amazon-transcribe-vs-gladia-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 Gladia Speech-to-Text API + MCP](https://www.anchorterminal.com/compare/assemblyai-stt-vs-gladia-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 Gladia Speech-to-Text API + MCP](https://www.anchorterminal.com/compare/azure-speech-to-text-vs-gladia-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 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 Groq Speech-to-Text](https://www.anchorterminal.com/compare/deepgram-stt-vs-groq-speech-to-text.md)\n- [ElevenLabs Scribe Speech to Text API vs Gladia Speech-to-Text API + MCP](https://www.anchorterminal.com/compare/elevenlabs-scribe-vs-gladia-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 Google Cloud Speech-to-Text](https://www.anchorterminal.com/compare/gladia-stt-vs-google-speech-to-text.md)\n- [Gladia Speech-to-Text API + MCP vs Mistral Voxtral Transcribe](https://www.anchorterminal.com/compare/gladia-stt-vs-mistral-voxtral-transcribe.md)\n- [Gladia Speech-to-Text API + MCP vs Rev AI Speech-to-Text API](https://www.anchorterminal.com/compare/gladia-stt-vs-rev-ai-stt.md)\n- [Gladia Speech-to-Text API + MCP vs Soniox Speech-to-Text](https://www.anchorterminal.com/compare/gladia-stt-vs-soniox-stt.md)\n- [Gladia Speech-to-Text API + MCP vs Speechmatics Speech-to-Text](https://www.anchorterminal.com/compare/gladia-stt-vs-speechmatics-stt.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": "Gladia Speech-to-Text API + MCP vs Groq Speech-to-Text", "url": "" } ], "description": "Groq Speech-to-Text scores 71.8 (BB) on agent readiness against Gladia Speech-to-Text API + MCP's 69.5 (B), and leads in 3 of 7 scored categories. Gladia Speech-to-Text API + MCP leads on schema \u0026 documentation and maintenance \u0026 community. Both do speech stt. Category scores…", "facts": [ "Gladia Speech-to-Text API + MCP B 69.5", "Groq Speech-to-Text BB 71.8", "scores" ], "h1": "Gladia Speech-to-Text API + MCP vs Groq Speech-to-Text", "image": "https://www.anchorterminal.com/assets/og/compare-gladia-stt-vs-groq-speech-to-text.png", "path": "/compare/gladia-stt-vs-groq-speech-to-text", "published": "2026-10-01", "section": "tools", "title": "Gladia Speech-to-Text API + MCP vs Groq Speech-to-Text for AI agents", "toc": null, "updated": "2026-10-09", "url": "https://www.anchorterminal.com/compare/gladia-stt-vs-groq-speech-to-text" }, "tokens": { "markdown": 2600, "slim": 680 }, "version": 1 }