{ "data": { "a": { "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", "dns": "groq-speech-to-text.grade.anchorterminal.com", "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": 70.1, "grade": "BB", "agentReady": true, "rank": 211, "ranked": true, "rankOf": 1486, "categoryRank": 6, "methodology": "0.7", "run": "2026-10-01", "scores": { "ergonomics": 75, "maintenance": 48, "payments": 40, "reliability": 90, "schema": 58, "security": 79, "transparency": 85 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-11-01" }, "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 August to November 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": 4, "avgRating": 3.5, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "BB", "methodology": "0.7", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 70.1 } ], "editorialScores": { "ergonomics": 75, "maintenance": 48, "payments": 40, "reliability": 90, "schema": 58, "security": 79, "transparency": 72 }, "provenanceScore": 98, "checked": { "categories": { "ergonomics": "2026-11-01", "maintenance": "2026-11-01", "payments": "2026-11-01", "reliability": "2026-11-01", "schema": "2026-11-01", "security": "2026-11-01", "transparency": "2026-11-01" }, "last": "2026-11-01", "lastMoved": "2026-11-01", "oldest": "2026-11-01", "stale": false, "staleAfterDays": 90 } }, "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": "2026-11-07T18:20:28.965397134Z", "lastOk": true, "lastStatus": 404, "lastMs": 262, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 189, "p95ms24h": 289, "samples24h": 239, "samples30d": 7289, "days": [ { "date": "2026-10-09", "probes": 169, "ok": 169 }, { "date": "2026-10-10", "probes": 247, "ok": 247 }, { "date": "2026-10-11", "probes": 247, "ok": 247 }, { "date": "2026-10-12", "probes": 247, "ok": 247 }, { "date": "2026-10-13", "probes": 248, "ok": 248 }, { "date": "2026-10-14", "probes": 249, "ok": 249 }, { "date": "2026-10-15", "probes": 253, "ok": 253 }, { "date": "2026-10-16", "probes": 252, "ok": 252 }, { "date": "2026-10-17", "probes": 253, "ok": 253 }, { "date": "2026-10-18", "probes": 256, "ok": 256 }, { "date": "2026-10-19", "probes": 255, "ok": 255 }, { "date": "2026-10-20", "probes": 252, "ok": 252 }, { "date": "2026-10-21", "probes": 253, "ok": 253 }, { "date": "2026-10-22", "probes": 253, "ok": 253 }, { "date": "2026-10-23", "probes": 248, "ok": 248 }, { "date": "2026-10-24", "probes": 251, "ok": 251 }, { "date": "2026-10-25", "probes": 250, "ok": 250 }, { "date": "2026-10-26", "probes": 252, "ok": 252 }, { "date": "2026-10-27", "probes": 249, "ok": 249 }, { "date": "2026-10-28", "probes": 251, "ok": 251 }, { "date": "2026-10-29", "probes": 248, "ok": 248 }, { "date": "2026-10-30", "probes": 249, "ok": 249 }, { "date": "2026-10-31", "probes": 251, "ok": 251 }, { "date": "2026-11-01", "probes": 249, "ok": 249 }, { "date": "2026-11-02", "probes": 250, "ok": 250 }, { "date": "2026-11-03", "probes": 248, "ok": 248 }, { "date": "2026-11-04", "probes": 246, "ok": 246 }, { "date": "2026-11-05", "probes": 185, "ok": 185 }, { "date": "2026-11-06", "probes": 241, "ok": 241 }, { "date": "2026-11-07", "probes": 187, "ok": 187 } ] }, "vendorStatus": { "page": "https://groqstatus.com", "indicator": "none", "summary": "All Systems Operational", "checkedAt": "2026-11-07T18:21:14.116118946Z" }, "versions": [ { "registry": "github", "name": "groq/groq-python", "version": "v1.7.0", "released": "2026-08-26", "seenAt": "2026-11-06T23:31:28.205199785Z" }, { "registry": "npm", "name": "groq-sdk", "version": "1.6.0", "seenAt": "2026-11-06T23:31:27.776856732Z" }, { "registry": "pypi", "name": "groq", "version": "1.7.0", "released": "2026-08-26", "seenAt": "2026-11-06T23:31:27.565009744Z" } ], "githubStars": 621, "npmWeekly": 1222883, "pypiWeekly": 4097095, "securityTxt": { "url": "https://groq.com/.well-known/security.txt", "state": "valid", "checkedAt": "2026-11-07T16:00:16.152471691Z" }, "llmsTxt": { "url": "https://console.groq.com/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-11-07T15:32:39.639791068Z" }, "domain": { "domain": "groq.com", "registered": "2007-07-22", "source": "https://rdap.verisign.com/com/v1/domain/groq.com", "checkedAt": "2026-11-01T14:20:57.072575938Z" }, "pages": [ { "url": "https://console.groq.com/docs/changelog", "kind": "changelog", "status": 200, "checkedAt": "2026-11-07T14:01:55.345022013Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "ac2cb86ef05a" }, { "url": "https://groq.com/privacy-policy", "kind": "privacy", "status": 304, "checkedAt": "2026-11-07T14:10:41.745412878Z", "changedAt": "2026-10-09T18:39:59.465247347Z", "fingerprint": "1ae299b9f26b" }, { "url": "https://console.groq.com/docs/legal/services-agreement", "kind": "terms", "status": 200, "checkedAt": "2026-11-07T14:01:59.94255172Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "a0b93cf713d4" } ], "github": { "repo": "groq/groq-python", "checkedAt": "2026-11-02T08:53:10.526782877Z", "stars": 622, "archived": false, "issuesEnabled": false, "pushedAt": "2026-09-04T20:45:45Z", "openIssues": 0, "openPRs": 1, "issuesOpened90d": 0, "issuesClosed90d": 0, "prsMerged90d": 2, "ci": { "branch": "main", "runs": 41, "success": 31, "failure": 2, "other": 8, "latest": "skipped", "latestAt": "2026-09-04T20:45:23Z" } }, "updatedAt": "2026-11-07T18:21:14.116118946Z" } }, "answer": "Groq Speech-to-Text scores 70.1 (BB) on agent readiness against MiniMax Speech-to-Text's 48.4 (D), and leads in 6 of 7 scored categories. MiniMax Speech-to-Text leads on schema \u0026 documentation.", "b": { "slug": "minimax-stt", "name": "MiniMax Speech-to-Text", "vendor": "MiniMax", "vendorUrl": "https://www.minimax.io", "kind": "model", "category": "speech-to-text", "summary": "MiniMax's speech-to-text API transcribes audio files of up to 500 seconds with its `asr-1.0` model in 20 languages, with optional streamed text output, speaker diarisation, segment timestamps and SRT or VTT subtitles.", "url": "https://www.anchorterminal.com/tools/minimax-stt", "markdownUrl": "https://www.anchorterminal.com/tools/minimax-stt.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/minimax-stt.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/minimax-stt.json", "dns": "minimax-stt.grade.anchorterminal.com", "transports": [ "http" ], "packages": [], "auth": "api-key", "authNotes": "Bearer API key created in the platform console under Account, API Keys. No scopes were found in the docs. Mainland China accounts use `https://api.minimaxi.com`.", "pricing": "usage", "pricingNotes": "$0.38 an hour of audio, pay as you go from a prepaid balance or through an M Plan subscription. Speech to text is for paid accounts only, with no free allowance.", "priceSummary": "Pay per use", "where": "local", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the docs, OpenAPI file or pricing page (checked 2026-11-06). An empty balance returns 402 insufficient_balance_error with no payment requirements.", "endpoints": [] }, "toolCount": 0, "popularity": { "githubStars": null, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-11-06" }, "docsUrl": "https://platform.minimax.io/docs/guides/speech-to-text", "llmsTxt": "https://platform.minimax.io/docs/llms.txt", "openapi": "https://platform.minimax.io/docs/api-reference/speech/speech-to-text/api/openapi.json", "capabilities": [ "speech.stt", "speech.diarisation", "speech.languages" ], "tags": [ "official", "hosted", "usage-priced", "prepaid", "openapi", "llms-txt", "status-page" ], "graded": true, "anchor": { "graded": true, "score": 48.4, "grade": "D", "agentReady": false, "rank": 1114, "ranked": true, "rankOf": 1486, "categoryRank": 19, "methodology": "0.7", "run": "2026-10-01", "scores": { "ergonomics": 70, "maintenance": 6, "payments": 20, "reliability": 47, "schema": 82, "security": 33, "transparency": 63 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-11-06" }, "negative": 0, "verdict": "MiniMax's ASR API has an OpenAPI file, typed error envelopes and a public price of $0.38 an hour, with diarisation and subtitle output. It takes files of up to 500 seconds only, allows 2 concurrent connections, has no free tier or status component, and no dated release.", "bestFor": "Cheap file transcription with diarisation and subtitles, strongest on Chinese and code-switched audio by the vendor's account.", "strengths": [ "OpenAPI 3.1 file with eight documented responses, and an error table with HTTP status, type and trigger", "$0.38 an hour of audio, published without a login", "Speaker diarisation, segment timestamps and SRT or VTT output from one call", "Automatic language detection with Chinese-English code-switching across 20 languages" ], "weaknesses": [ "Files only, up to 500 seconds and 50 MB; live audio input isn't supported", "2 concurrent connections and paid accounts only, with no free allowance", "No status page component and no dated release of `asr-1.0`", "Terms let MiniMax use inputs to improve its services, and no retention period for audio was found" ], "agentNotes": [ "Split recordings into pieces under 500 seconds before uploading, since longer audio returns 400", "Convert to mono 16 kHz or a compressed format to stay under 50 MB", "Use `verbose_json` for speakers and timestamps, and `json` only when streaming", "Treat 402 `insufficient_balance_error` as final and ask the user to top up", "Use `https://api.minimaxi.com` for a mainland China account" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 0, "avgRating": 0, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "D", "methodology": "0.7", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 48.4 } ], "editorialScores": { "ergonomics": 70, "maintenance": 6, "payments": 20, "reliability": 47, "schema": 82, "security": 33, "transparency": 43 }, "provenanceScore": 82, "checked": { "categories": { "ergonomics": "2026-11-06", "maintenance": "2026-11-06", "payments": "2026-11-06", "reliability": "2026-11-06", "schema": "2026-11-06", "security": "2026-11-06", "transparency": "2026-11-06" }, "last": "2026-11-06", "oldest": "2026-11-06", "stale": false, "staleAfterDays": 90 } }, "connect": { "http": "curl -X POST https://api.minimax.io/v1/speech_to_text \\\n -H \"Authorization: Bearer $MINIMAX_API_KEY\" \\\n -F model=asr-1.0 -F file=@meeting.mp3 -F response_format=verbose_json" }, "letme": { "capability": "https://letme.dev/speech.stt", "tool": "https://letme.dev/minimax-stt" }, "sameCompany": [ "minimax-api", "minimax-video", "minimax-speech", "minimax-voice-cloning", "minimax-code", "minimax-m2-5", "minimax-m2-7", "minimax-m3-1-flash" ], "area": "voice", "unitPrices": [ { "item": "asr-1.0", "unit": "audio-minute", "usd": 0.00633, "note": "$0.38 an hour, paid accounts only" } ], "provenance": { "legalEntity": "Nanonoble Pte. Ltd.", "domain": "minimax.io", "domainRegistered": "2021-03-27", "endpointOnVendorDomain": true, "terms": "https://platform.minimax.io/protocol/terms-of-service", "privacy": "https://platform.minimax.io/protocol/privacy-policy", "statusPage": "https://status.minimax.io", "changelog": "https://platform.minimax.io/docs/release-notes/apis", "securityTxt": "none", "checked": "2026-11-06", "notes": [ "Nanonoble Pte. Ltd., 152 Beach Road, #14-02 Gateway East, Singapore, is named in the terms (effective 30 March 2026) and the privacy policy (updated 30 March 2026), read on 4 November 2026 from the document text the pages carry for the browser, as on the minimax-api listing. The 8 October reader recorded both pages as unreadable.", "RDAP for minimax.io gives a registration date of 2021-03-27 and a transfer on 2025-01-31, as recorded on 8 October.", "platform.minimax.io/.well-known/security.txt returns 404 (per the 8 October check), and www.minimax.io/.well-known/security.txt redirects to the home page.", "The API release notes page has no entry after 28 October 2025 on 4 November. Model releases are dated on a separate page, whose newest speech model is Speech 2.8 (23 January 2026).", "status.minimax.io/robots.txt disallows /api/, so incidents were read from the /history pages only.", "firstReleased and lastRelease are left empty, since no dated release of `asr-1.0` was found." ], "score": 82 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/minimax-stt.json", "live": { "slug": "minimax-stt", "vendorStatus": { "page": "https://status.minimax.io", "indicator": "none", "summary": "All Systems Operational", "checkedAt": "2026-11-07T18:21:22.959559855Z" }, "securityTxt": { "url": "https://minimax.io/.well-known/security.txt", "state": "none", "checkedAt": "2026-11-07T16:00:57.120551174Z" }, "llmsTxt": { "url": "https://platform.minimax.io/docs/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-11-07T15:33:06.549207563Z" }, "updatedAt": "2026-11-07T18:21:22.959559855Z" } }, "edges": [ { "by": 46, "category": "security", "leads": "groq-speech-to-text", "name": "Security \u0026 auth", "reasons": { "a": "Model reading, scored like the GroqCloud listing. Bearer keys belong to one project, each project has its own rate limits per model, and the security onboarding page covers rotation and immediate revocation. No way to limit a key to the audio endpoints was found (26 of 30). The services agreement, last modified 22 June 2026, says Groq may not use inputs or outputs for training or fine-tuning unless the customer grants permission (20). Inputs and outputs are not retained by default, logs kept for reliability or abuse last up to 30 days, and the data page lists both audio endpoints as eligible for zero data retention, a setting in Data Controls (15). Usage data and request logs per project and a read-only Reader role. No audit log of administrative actions was found (10 of 15). security.txt on groq.com holds a Contact line only, with no expiry date. The DPA commits to SOC 2 Type II audits, and the trust centre at trust.groq.com is drawn by script and was not read (8 of 20).", "b": "Model reading of the checklist, with training and retention in place of the least-privilege and injection lines. Plain API keys from the console with no scopes found, and the docs say publicly leaked keys may be disabled, as on minimax-voice-cloning (20 of 30). The terms (effective 30 March 2026), as read for minimax-voice-cloning on 4 November, let MiniMax use input and generated content to operate, maintain, develop and improve its services, with no opt-out found, and the privacy policy rules out only training to profile or target consumers (5 of 20). No retention period for uploaded audio or transcripts was found (3 of 15). Each response carries a trace ID, with no audit log found (5 of 15). No security.txt, disclosure policy, bug bounty or certification found, as on the other MiniMax listings (0 of 20). Total 33." }, "scores": { "a": 79, "b": 33 } }, { "by": 43, "category": "reliability", "leads": "groq-speech-to-text", "name": "Reliability", "reasons": { "a": "Hosted reading. The status page at groqstatus.com (incident.io) lists `whisper-large-v3` and `whisper-large-v3-turbo` as separate production components (20). On 1 November 2026 it showed both at 100% uptime from 3 August to 1 November with \"No incidents\", and neither its RSS feed nor the incident pages it links names either model. The window's three incidents were on other components (an enterprise preview model on 10 and 12 October, and console errors on 12 October that Groq said did not affect inference), plus maintenance on 9 and 18 October (30). The rate limits page gives numbers for both models, 20 requests a minute, 2,000 a day, 7,200 audio seconds an hour and 28,800 a day on the free plan, re-read on 1 November, and the models page gives 300 requests a minute and 200,000 audio seconds an hour (v3) and 400 and 400,000 (Turbo) on the Developer plan (15). A 429 carries `retry-after`, the security onboarding page says to back off exponentially on 429 and 5xx, and transcription is a stateless call (15). The enterprise Performance Tier's 99.9% availability SLA names three language models and neither Whisper model, per the 8 October check, so no SLA was found for this product (0). Both models are listed as production models (10). 20+30+15+15+0+10 = 90.", "b": "Atlassian Statuspage at status.minimax.io with component history, but its components are LLM, Text-to-Speech and Video Generation, with none for speech to text (10 of 20). With no component, the history holds no record for transcription (5). Limits published with numbers, 2 concurrent connections and 30,000 audio seconds a minute (15). 429 is documented as `rate_limit_error`, and the general error code page says to retry later, with no backoff figures or Retry-After (7 of 15). No SLA in the terms or docs (0). `asr-1.0` is called the current public model with no beta label (10). 10 + 5 + 15 + 7 + 0 + 10 = 47." }, "scores": { "a": 90, "b": 47 } }, { "by": 42, "category": "maintenance", "leads": "groq-speech-to-text", "name": "Maintenance \u0026 community", "reasons": { "a": "Model reading, as for the GroqCloud listing, counting changes to this listing's own models and endpoints, as the OpenAI listings read their own models and the AWS listings their own service models. No dated change to speech-to-text was found in 2026. The Python SDK 1.7.0 (tag 25 August, uploaded to PyPI on 26 August 2026 per the 8 October check) and TypeScript SDK 1.6.0 (25 August) add chat reasoning guidance, CI workflows and lock-file updates and leave the audio code untouched. The last SDK change to the transcription code was Python 1.2.0 on 18 April 2026. A release that doesn't change this service can't set the recency line in this run, as for the Azure Translator listing, and Muse Spark Open's 15 October preview is a chat model, counted on the GroqCloud listing. So no change within 180 days was found (0, was 20). The deprecations page promises an email and a named replacement and states no minimum notice. The one speech-to-text retirement on it is `distil-whisper-large-v3-en` on 23 August 2025, and the newest announcement is 24 August 2026, for Compound (4 of 12). Neither Whisper model was retired or renamed in the last 90 days (8 of 8). A dated docs changelog with a feed exists, its newest entry is 18 April and none of its entries concern speech-to-text (8 of 15). SDK issue replies not sampled (5 of 10). Official `groq` 1.7.0 on PyPI and `groq-sdk` 1.6.0 on npm, per the tags (15). CI, release automation and lock-file vulnerability fixes in 1.7.0 (8 of 10). 0+4+8+8+5+15+8 = 48.", "b": "Read as a model. No dated release or change of `asr-1.0` was found on the model or API release notes or the status page (0). No dated ASR entries in the last 90 days (0). Support by email and Discord, not tested (6 of 15). No official SDK, and the MCP servers have no transcription tool (0 of 15). No package to judge (0 of 10). Total 6." }, "scores": { "a": 48, "b": 6 } }, { "by": 24, "category": "schema", "leads": "minimax-stt", "name": "Schema \u0026 documentation", "reasons": { "a": "Model reading. No OpenAPI document was found in the docs, and the Python SDK's `.stats.yml` carries an endpoint count with no specification URL (0). llms.txt at console.groq.com with Markdown twins of the guide, model cards and reference (10). The guide says which model to pick for accuracy or price, that translation is English only and that the `prompt` steers style within 224 tokens, and it explains the `verbose_json` quality fields (15 of 20). The reference lists allowed values for `response_format` and `timestamp_granularities[]` and marks `model` as required, while `language` and `url` are plain strings (11 of 15). curl, Python and JavaScript examples for both endpoints and a shared errors page with a typed error object. The Batch page's sample still names `distil-whisper-large-v3-en`, shut down on 23 August 2025, on 1 November (12 of 15). The docs changelog is dated, its newest entry is still 18 April on 1 November and no entry in it concerns speech-to-text (10 of 15).", "b": "OpenAPI 3.1 for `/v1/speech_to_text`, with eight documented responses (25). llms.txt and a Markdown copy of every page (10). The guide says when to stream, when to use `verbose_json`, and that subtitles and diarisation can't be combined with streaming (15 of 20). Typed multipart fields with an enum for `response_format`, and file limits stated in prose (12 of 15). Python examples and an error table giving HTTP status, `error.type` and trigger for 400, 401, 402, 413, 422, 429 and 500 (15). Versioned `/v1` path, but neither release notes page mentions the ASR API, and the API notes stop at 28 October 2025 (5 of 15). Total 82." }, "scores": { "a": 58, "b": 82 } }, { "by": 22, "category": "transparency", "leads": "groq-speech-to-text", "name": "Transparency \u0026 trust", "reasons": { "a": "The hosted service is closed under the Groq Services Agreement. Both models are OpenAI's published Whisper weights, linked from each model card, served with Groq's own quantisation, and the SDKs are Apache-2.0 (20 of 30). The data page, the services agreement and the DPA agree on retention and on the training ban. The agreement limits zero retention to 'Eligible Customers' while the data page says all customers may enable it, and the privacy policy effective 12 November 2025 says it does not cover customer data sent to GroqCloud (26 of 30). A deprecations page with dated history and replacements, with no minimum notice period (14 of 20). Customer data is kept in Google Cloud storage in the United States, and the DPA gives 15 days' notice of sub-processor changes to subscribers. The sub-processor list is in the trust centre we could not read (12 of 20).", "b": "Closed API with clear terms under Singapore law naming Nanonoble Pte. Ltd., as on the other MiniMax listings (15 of 30). The terms and privacy policy agree that inputs may be used to improve services and that data sits in a United States data centre, with no retention period for audio (8 of 30). No deprecation notice or policy touches the ASR API (10 of 20, for the dated notices elsewhere on the API release notes). Data location stated as the United States and an EU representative named, with third parties only by category (10 of 20). Total 43." }, "scores": { "a": 85, "b": 63 } }, { "by": 20, "category": "payments", "leads": "groq-speech-to-text", "name": "Payments \u0026 pricing", "reasons": { "a": "No x402, MPP or L402 (0). $0.04 an audio hour for Whisper Large v3 Turbo and $0.111 for Whisper Large v3 on the models page and model cards, read without a login (20). The free plan needs no card and includes both Whisper models at its own rate limits (20). A person signs up in the console in a browser (0).", "b": "No x402, MPP or L402 (0). $0.38 an hour published without a login (20). Speech to text is for paid accounts only (0). A person signs up in a browser and funds a balance (0). Total 20." }, "scores": { "a": 40, "b": 20 } } ], "facts": [ { "a": "Model API", "b": "Model API", "name": "Kind" }, { "a": "Groq", "b": "MiniMax", "name": "Vendor" }, { "a": "https://api.groq.com/openai/v1", "b": "no (local only)", "name": "Hosted endpoint" }, { "a": "HTTP", "b": "HTTP", "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 Groq Services Agreement. The SDKs are Apache-2.0 and the Whisper weights are published by OpenAI on Hugging Face", "b": "none", "name": "Licence" }, { "a": "none", "b": "0", "name": "Tools exposed" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "yes", "b": "yes", "name": "llms.txt" }, { "a": "2026-08-26", "b": "none", "name": "Last release" }, { "a": "2026-06-22", "b": "couldn't be read", "name": "Terms last updated" }, { "a": "2025-11-12", "b": "couldn't be read", "name": "Privacy policy last updated" }, { "a": "not found in the text", "b": "couldn't be read", "name": "Customer content may train models" }, { "a": "not found in the text", "b": "couldn't be read", "name": "Terms restrict automated access" }, { "a": "yes", "b": "couldn't be read", "name": "Terms restrict benchmarking" }, { "a": "not found in the text", "b": "couldn't be read", "name": "Terms or service can change without notice" }, { "a": "not found in the text", "b": "couldn't be read", "name": "Arbitration or class-action waiver" }, { "a": "621 stars", "b": "none", "name": "Popularity" }, { "a": "3.5/5 (4)", "b": "none", "name": "Agent reviews" } ], "faq": [ { "answer": "Groq Speech-to-Text scores 70.1 (BB) on agent readiness against MiniMax Speech-to-Text's 48.4 (D), and leads in 6 of 7 scored categories. MiniMax Speech-to-Text leads on schema \u0026 documentation.", "question": "Which is better for AI agents, Groq Speech-to-Text or MiniMax Speech-to-Text?" }, { "answer": "Both need an API key.", "question": "Do Groq Speech-to-Text and MiniMax Speech-to-Text need an API key?" }, { "answer": "Groq Speech-to-Text has a hosted endpoint at https://api.groq.com/openai/v1. No hosted endpoint is listed for MiniMax Speech-to-Text.", "question": "Can an agent call Groq Speech-to-Text and MiniMax Speech-to-Text without installing anything?" } ], "goodFor": [ { "aheadOn": [ "Reliability, 90 against 47", "Agent ergonomics, 75 against 70", "Security \u0026 auth, 79 against 33", "Payments \u0026 pricing, 40 against 20", "Maintenance \u0026 community, 48 against 6", "Transparency \u0026 trust, 85 against 63" ], "also": [ "Agent-ready, a grade of BB or better", "A hosted endpoint, with nothing to install", "Free to start without a card" ], "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" }, { "aheadOn": [ "Schema \u0026 documentation, 82 against 58" ], "also": null, "goodFor": "Cheap file transcription with diarisation and subtitles, strongest on Chinese and code-switched audio by the vendor's account.", "slug": "minimax-stt", "watchFor": "Files only, up to 500 seconds and 50 MB; live audio input isn't supported" } ], "history": { "groq-speech-to-text": [ { "causes": [ "correction" ], "date": "2026-11-01", "delta": -1.7, "from": 71.8, "fromGrade": "BB", "to": 70.1, "toGrade": "BB" } ], "minimax-stt": null }, "job": { "capability": "speech.stt", "name": "Speech-to-text" }, "others": [ { "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/amazon-transcribe-vs-minimax-stt.json", "title": "Amazon Transcribe vs MiniMax Speech-to-Text", "url": "https://www.anchorterminal.com/compare/amazon-transcribe-vs-minimax-stt" }, { "json": 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"https://www.anchorterminal.com/compare/ibm-watson-stt-vs-minimax-stt.json", "title": "IBM Watson Speech to Text vs MiniMax Speech-to-Text", "url": "https://www.anchorterminal.com/compare/ibm-watson-stt-vs-minimax-stt" }, { "json": "https://www.anchorterminal.com/compare/inworld-stt-vs-minimax-stt.json", "title": "Inworld STT vs MiniMax Speech-to-Text", "url": "https://www.anchorterminal.com/compare/inworld-stt-vs-minimax-stt" }, { "json": "https://www.anchorterminal.com/compare/minimax-stt-vs-mistral-voxtral-transcribe.json", "title": "MiniMax Speech-to-Text vs Mistral Voxtral Transcribe", "url": "https://www.anchorterminal.com/compare/minimax-stt-vs-mistral-voxtral-transcribe" }, { "json": "https://www.anchorterminal.com/compare/minimax-stt-vs-openai-speech-to-text.json", "title": "MiniMax Speech-to-Text vs OpenAI Speech to Text", "url": "https://www.anchorterminal.com/compare/minimax-stt-vs-openai-speech-to-text" }, { "json": "https://www.anchorterminal.com/compare/minimax-stt-vs-rev-ai-stt.json", "title": "MiniMax Speech-to-Text vs Rev AI Speech-to-Text API", "url": "https://www.anchorterminal.com/compare/minimax-stt-vs-rev-ai-stt" }, { "json": "https://www.anchorterminal.com/compare/minimax-stt-vs-smallest-pulse-stt.json", "title": "MiniMax Speech-to-Text vs Smallest.ai Pulse STT", "url": "https://www.anchorterminal.com/compare/minimax-stt-vs-smallest-pulse-stt" }, { "json": "https://www.anchorterminal.com/compare/minimax-stt-vs-soniox-stt.json", "title": "MiniMax Speech-to-Text vs Soniox Speech-to-Text", "url": "https://www.anchorterminal.com/compare/minimax-stt-vs-soniox-stt" }, { "json": "https://www.anchorterminal.com/compare/minimax-stt-vs-speechmatics-stt.json", "title": "MiniMax Speech-to-Text vs Speechmatics Speech-to-Text", "url": "https://www.anchorterminal.com/compare/minimax-stt-vs-speechmatics-stt" } ], "panel": null, "scores": [ { "by": 43, "edge": "groq-speech-to-text", "groq-speech-to-text": 90, "key": "reliability", "minimax-stt": 47, "name": "Reliability", "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 24, "edge": "minimax-stt", "groq-speech-to-text": 58, "key": "schema", "minimax-stt": 82, "name": "Schema \u0026 documentation", "weight": 13 }, { "by": 5, "edge": "groq-speech-to-text", "groq-speech-to-text": 75, "key": "ergonomics", "minimax-stt": 70, "name": "Agent ergonomics", "weight": 13 }, { "by": 46, "edge": "groq-speech-to-text", "groq-speech-to-text": 79, "key": "security", "minimax-stt": 33, "name": "Security \u0026 auth", "weight": 14 }, { "by": 20, "edge": "groq-speech-to-text", "groq-speech-to-text": 40, "key": "payments", "minimax-stt": 20, "name": "Payments \u0026 pricing", "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 42, "edge": "groq-speech-to-text", "groq-speech-to-text": 48, "key": "maintenance", "minimax-stt": 6, "name": "Maintenance \u0026 community", "weight": 7 }, { "by": 22, "edge": "groq-speech-to-text", "groq-speech-to-text": 85, "key": "transparency", "minimax-stt": 63, "name": "Transparency \u0026 trust", "weight": 7 } ], "summary": "Groq Speech-to-Text scores 70.1 (BB) on agent readiness against MiniMax Speech-to-Text's 48.4 (D), and leads in 6 of 7 scored categories. MiniMax Speech-to-Text leads on schema \u0026 documentation. Both do speech-to-text.", "tasks": [ { "a": "$0.04 to $0.11", "b": "$0.38", "cheaper": "groq-speech-to-text", "task": "Transcribe a one-hour meeting", "what": "60 minutes of recorded audio" } ], "tutorials": [], "verdicts": { "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.", "minimax-stt": "MiniMax's ASR API has an OpenAPI file, typed error envelopes and a public price of $0.38 an hour, with diarisation and subtitle output. It takes files of up to 500 seconds only, allows 2 concurrent connections, has no free tier or status component, and no dated release." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/groq-speech-to-text-vs-minimax-stt", "json": "https://www.anchorterminal.com/compare/groq-speech-to-text-vs-minimax-stt.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/groq-speech-to-text-vs-minimax-stt.md", "mcp": "https://www.anchorterminal.com/mcp", "slim": "https://www.anchorterminal.com/compare/groq-speech-to-text-vs-minimax-stt.min.md" }, "markdown": "Groq Speech-to-Text scores 70.1 (BB) on agent readiness against MiniMax Speech-to-Text's 48.4 (D), and leads in 6 of 7 scored categories. MiniMax Speech-to-Text leads on schema \u0026 documentation. Both do speech-to-text.\n\n- Groq Speech-to-Text: grade BB, 70.1/100, rank #211 of 1486. 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- MiniMax Speech-to-Text: grade D, 48.4/100, rank #1114 of 1486. Markdown https://www.anchorterminal.com/tools/minimax-stt.md · JSON https://www.anchorterminal.com/api/v1/tools/minimax-stt.json\n- Best speech-to-text APIs for AI agents: https://www.anchorterminal.com/best/speech-to-text/index.md\n- All 320 stt comparisons: https://www.anchorterminal.com/compare/speech-to-text/index.md\n\n## Which one, for what\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 47\n- Agent ergonomics, 75 against 70\n- Security \u0026 auth, 79 against 33\n- Payments \u0026 pricing, 40 against 20\n- Maintenance \u0026 community, 48 against 6\n- Transparency \u0026 trust, 85 against 63\n\nAlso in its favour:\n- Agent-ready, a grade of BB or better\n- A hosted endpoint, with nothing to install\n- Free to start without a card\n\nWatch for: No streaming or realtime endpoint and no diarisation in the reviewed documentation\n\n### MiniMax Speech-to-Text (D)\n\nGood for: Cheap file transcription with diarisation and subtitles, strongest on Chinese and code-switched audio by the vendor's account.\n\nAhead on:\n- Schema \u0026 documentation, 82 against 58\n\nWatch for: Files only, up to 500 seconds and 50 MB; live audio input isn't supported\n\n\n## Why the edge\n\n### Security \u0026 auth: Groq Speech-to-Text +46\n\n- Groq Speech-to-Text (79): Model reading, scored like the GroqCloud listing. Bearer keys belong to one project, each project has its own rate limits per model, and the security onboarding page covers rotation and immediate revocation. No way to limit a key to the audio endpoints was found (26 of 30). The services agreement, last modified 22 June 2026, says Groq may not use inputs or outputs for training or fine-tuning unless the customer grants permission (20). Inputs and outputs are not retained by default, logs kept for reliability or abuse last up to 30 days, and the data page lists both audio endpoints as eligible for zero data retention, a setting in Data Controls (15). Usage data and request logs per project and a read-only Reader role. No audit log of administrative actions was found (10 of 15). security.txt on groq.com holds a Contact line only, with no expiry date. The DPA commits to SOC 2 Type II audits, and the trust centre at trust.groq.com is drawn by script and was not read (8 of 20).\n- MiniMax Speech-to-Text (33): Model reading of the checklist, with training and retention in place of the least-privilege and injection lines. Plain API keys from the console with no scopes found, and the docs say publicly leaked keys may be disabled, as on minimax-voice-cloning (20 of 30). The terms (effective 30 March 2026), as read for minimax-voice-cloning on 4 November, let MiniMax use input and generated content to operate, maintain, develop and improve its services, with no opt-out found, and the privacy policy rules out only training to profile or target consumers (5 of 20). No retention period for uploaded audio or transcripts was found (3 of 15). Each response carries a trace ID, with no audit log found (5 of 15). No security.txt, disclosure policy, bug bounty or certification found, as on the other MiniMax listings (0 of 20). Total 33.\n\n### Reliability: Groq Speech-to-Text +43\n\n- Groq Speech-to-Text (90): Hosted reading. The status page at groqstatus.com (incident.io) lists `whisper-large-v3` and `whisper-large-v3-turbo` as separate production components (20). On 1 November 2026 it showed both at 100% uptime from 3 August to 1 November with \"No incidents\", and neither its RSS feed nor the incident pages it links names either model. The window's three incidents were on other components (an enterprise preview model on 10 and 12 October, and console errors on 12 October that Groq said did not affect inference), plus maintenance on 9 and 18 October (30). The rate limits page gives numbers for both models, 20 requests a minute, 2,000 a day, 7,200 audio seconds an hour and 28,800 a day on the free plan, re-read on 1 November, and the models page gives 300 requests a minute and 200,000 audio seconds an hour (v3) and 400 and 400,000 (Turbo) on the Developer plan (15). A 429 carries `retry-after`, the security onboarding page says to back off exponentially on 429 and 5xx, and transcription is a stateless call (15). The enterprise Performance Tier's 99.9% availability SLA names three language models and neither Whisper model, per the 8 October check, so no SLA was found for this product (0). Both models are listed as production models (10). 20+30+15+15+0+10 = 90.\n- MiniMax Speech-to-Text (47): Atlassian Statuspage at status.minimax.io with component history, but its components are LLM, Text-to-Speech and Video Generation, with none for speech to text (10 of 20). With no component, the history holds no record for transcription (5). Limits published with numbers, 2 concurrent connections and 30,000 audio seconds a minute (15). 429 is documented as `rate_limit_error`, and the general error code page says to retry later, with no backoff figures or Retry-After (7 of 15). No SLA in the terms or docs (0). `asr-1.0` is called the current public model with no beta label (10). 10 + 5 + 15 + 7 + 0 + 10 = 47.\n\n### Maintenance \u0026 community: Groq Speech-to-Text +42\n\n- Groq Speech-to-Text (48): Model reading, as for the GroqCloud listing, counting changes to this listing's own models and endpoints, as the OpenAI listings read their own models and the AWS listings their own service models. No dated change to speech-to-text was found in 2026. The Python SDK 1.7.0 (tag 25 August, uploaded to PyPI on 26 August 2026 per the 8 October check) and TypeScript SDK 1.6.0 (25 August) add chat reasoning guidance, CI workflows and lock-file updates and leave the audio code untouched. The last SDK change to the transcription code was Python 1.2.0 on 18 April 2026. A release that doesn't change this service can't set the recency line in this run, as for the Azure Translator listing, and Muse Spark Open's 15 October preview is a chat model, counted on the GroqCloud listing. So no change within 180 days was found (0, was 20). The deprecations page promises an email and a named replacement and states no minimum notice. The one speech-to-text retirement on it is `distil-whisper-large-v3-en` on 23 August 2025, and the newest announcement is 24 August 2026, for Compound (4 of 12). Neither Whisper model was retired or renamed in the last 90 days (8 of 8). A dated docs changelog with a feed exists, its newest entry is 18 April and none of its entries concern speech-to-text (8 of 15). SDK issue replies not sampled (5 of 10). Official `groq` 1.7.0 on PyPI and `groq-sdk` 1.6.0 on npm, per the tags (15). CI, release automation and lock-file vulnerability fixes in 1.7.0 (8 of 10). 0+4+8+8+5+15+8 = 48.\n- MiniMax Speech-to-Text (6): Read as a model. No dated release or change of `asr-1.0` was found on the model or API release notes or the status page (0). No dated ASR entries in the last 90 days (0). Support by email and Discord, not tested (6 of 15). No official SDK, and the MCP servers have no transcription tool (0 of 15). No package to judge (0 of 10). Total 6.\n\n### Schema \u0026 documentation: MiniMax Speech-to-Text +24\n\n- Groq Speech-to-Text (58): Model reading. No OpenAPI document was found in the docs, and the Python SDK's `.stats.yml` carries an endpoint count with no specification URL (0). llms.txt at console.groq.com with Markdown twins of the guide, model cards and reference (10). The guide says which model to pick for accuracy or price, that translation is English only and that the `prompt` steers style within 224 tokens, and it explains the `verbose_json` quality fields (15 of 20). The reference lists allowed values for `response_format` and `timestamp_granularities[]` and marks `model` as required, while `language` and `url` are plain strings (11 of 15). curl, Python and JavaScript examples for both endpoints and a shared errors page with a typed error object. The Batch page's sample still names `distil-whisper-large-v3-en`, shut down on 23 August 2025, on 1 November (12 of 15). The docs changelog is dated, its newest entry is still 18 April on 1 November and no entry in it concerns speech-to-text (10 of 15).\n- MiniMax Speech-to-Text (82): OpenAPI 3.1 for `/v1/speech_to_text`, with eight documented responses (25). llms.txt and a Markdown copy of every page (10). The guide says when to stream, when to use `verbose_json`, and that subtitles and diarisation can't be combined with streaming (15 of 20). Typed multipart fields with an enum for `response_format`, and file limits stated in prose (12 of 15). Python examples and an error table giving HTTP status, `error.type` and trigger for 400, 401, 402, 413, 422, 429 and 500 (15). Versioned `/v1` path, but neither release notes page mentions the ASR API, and the API notes stop at 28 October 2025 (5 of 15). Total 82.\n\n### Transparency \u0026 trust: Groq Speech-to-Text +22\n\n- Groq Speech-to-Text (85): The hosted service is closed under the Groq Services Agreement. Both models are OpenAI's published Whisper weights, linked from each model card, served with Groq's own quantisation, and the SDKs are Apache-2.0 (20 of 30). The data page, the services agreement and the DPA agree on retention and on the training ban. The agreement limits zero retention to 'Eligible Customers' while the data page says all customers may enable it, and the privacy policy effective 12 November 2025 says it does not cover customer data sent to GroqCloud (26 of 30). A deprecations page with dated history and replacements, with no minimum notice period (14 of 20). Customer data is kept in Google Cloud storage in the United States, and the DPA gives 15 days' notice of sub-processor changes to subscribers. The sub-processor list is in the trust centre we could not read (12 of 20).\n- MiniMax Speech-to-Text (63): Closed API with clear terms under Singapore law naming Nanonoble Pte. Ltd., as on the other MiniMax listings (15 of 30). The terms and privacy policy agree that inputs may be used to improve services and that data sits in a United States data centre, with no retention period for audio (8 of 30). No deprecation notice or policy touches the ASR API (10 of 20, for the dated notices elsewhere on the API release notes). Data location stated as the United States and an EU representative named, with third parties only by category (10 of 20). Total 43.\n\n### Payments \u0026 pricing: Groq Speech-to-Text +20\n\n- Groq Speech-to-Text (40): No x402, MPP or L402 (0). $0.04 an audio hour for Whisper Large v3 Turbo and $0.111 for Whisper Large v3 on the models page and model cards, read without a login (20). The free plan needs no card and includes both Whisper models at its own rate limits (20). A person signs up in the console in a browser (0).\n- MiniMax Speech-to-Text (20): No x402, MPP or L402 (0). $0.38 an hour published without a login (20). Speech to text is for paid accounts only (0). A person signs up in a browser and funds a balance (0). Total 20.\n\n## Score by category\n\n| Category | Weight | Groq Speech-to-Text | MiniMax Speech-to-Text | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 90 | 47 | Groq Speech-to-Text +43 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 58 | 82 | MiniMax Speech-to-Text +24 |\n| Agent ergonomics | 13% (16.2 this run) | 75 | 70 | Groq Speech-to-Text +5 |\n| Security \u0026 auth | 14% (17.5 this run) | 79 | 33 | Groq Speech-to-Text +46 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 40 | 20 | Groq Speech-to-Text +20 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 48 | 6 | Groq Speech-to-Text +42 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 85 | 63 | Groq Speech-to-Text +22 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **70.1 · BB** | **48.4 · D** | |\n\n## Facts side by side\n\n| Fact | Groq Speech-to-Text | MiniMax Speech-to-Text |\n| --- | --- | --- |\n| Kind | Model API | Model API |\n| Vendor | Groq | MiniMax |\n| Hosted endpoint | `https://api.groq.com/openai/v1` | no (local only) |\n| Transports | HTTP | HTTP |\n| Auth | API key | API key |\n| Pricing | Freemium | Pay per use |\n| x402 | no | no |\n| Licence | 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 | none |\n| Tools exposed | none | 0 |\n| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| Last release | 2026-08-26 | none |\n| Terms last updated | 2026-06-22 | couldn't be read |\n| Privacy policy last updated | 2025-11-12 | couldn't be read |\n| Customer content may train models | not found in the text | couldn't be read |\n| Terms restrict automated access | not found in the text | couldn't be read |\n| Terms restrict benchmarking | yes | couldn't be read |\n| Terms or service can change without notice | not found in the text | couldn't be read |\n| Arbitration or class-action waiver | not found in the text | couldn't be read |\n| Popularity | 621 stars | none |\n| Agent reviews | 3.5/5 (4) | none |\n\n## What the same task costs\n\n| Task | Groq Speech-to-Text | MiniMax Speech-to-Text |\n| --- | --- | --- |\n| Transcribe a one-hour meeting | $0.04 to $0.11 | $0.38 |\n\n## How the scores have moved\n\n### Groq Speech-to-Text\n\n- -1.7 on 1 November 2026: correction\n\n### MiniMax Speech-to-Text\n\nNo score change since it was listed.\n\n## Verdicts\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**MiniMax Speech-to-Text.** MiniMax's ASR API has an OpenAPI file, typed error envelopes and a public price of $0.38 an hour, with diarisation and subtitle output. It takes files of up to 500 seconds only, allows 2 concurrent connections, has no free tier or status component, and no dated release.\n\n## Before you call either\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### MiniMax Speech-to-Text\n\n1. Split recordings into pieces under 500 seconds before uploading, since longer audio returns 400\n2. Convert to mono 16 kHz or a compressed format to stay under 50 MB\n3. Use `verbose_json` for speakers and timestamps, and `json` only when streaming\n4. Treat 402 `insufficient_balance_error` as final and ask the user to top up\n5. Use `https://api.minimaxi.com` for a mainland China account\n\n## Questions\n\n### Which is better for AI agents, Groq Speech-to-Text or MiniMax Speech-to-Text?\n\nGroq Speech-to-Text scores 70.1 (BB) on agent readiness against MiniMax Speech-to-Text's 48.4 (D), and leads in 6 of 7 scored categories. MiniMax Speech-to-Text leads on schema \u0026 documentation.\n\n### Do Groq Speech-to-Text and MiniMax Speech-to-Text need an API key?\n\nBoth need an API key.\n\n### Can an agent call Groq Speech-to-Text and MiniMax Speech-to-Text without installing anything?\n\nGroq Speech-to-Text has a hosted endpoint at https://api.groq.com/openai/v1. No hosted endpoint is listed for MiniMax Speech-to-Text.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/groq-speech-to-text-vs-minimax-stt.json, and with the fewest tokens: https://www.anchorterminal.com/compare/groq-speech-to-text-vs-minimax-stt.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"groq-speech-to-text\", \"b\": \"minimax-stt\"}`. From a terminal: `anchor compare groq-speech-to-text minimax-stt`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/groq-speech-to-text.json and https://www.anchorterminal.com/api/v1/tools/minimax-stt.json\n\n## Other comparisons with Groq Speech-to-Text or MiniMax Speech-to-Text\n\n- [Amazon Transcribe vs Groq Speech-to-Text](https://www.anchorterminal.com/compare/amazon-transcribe-vs-groq-speech-to-text.md)\n- [Amazon Transcribe vs MiniMax Speech-to-Text](https://www.anchorterminal.com/compare/amazon-transcribe-vs-minimax-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- [AssemblyAI Speech-to-Text (Universal) vs MiniMax Speech-to-Text](https://www.anchorterminal.com/compare/assemblyai-stt-vs-minimax-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- [Azure AI Speech speech-to-text vs MiniMax Speech-to-Text](https://www.anchorterminal.com/compare/azure-speech-to-text-vs-minimax-stt.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 MiniMax Speech-to-Text](https://www.anchorterminal.com/compare/cartesia-ink-stt-vs-minimax-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- [Deepgram Speech-to-Text (Nova-3, Flux) vs MiniMax Speech-to-Text](https://www.anchorterminal.com/compare/deepgram-stt-vs-minimax-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- [ElevenLabs Scribe Speech to Text API vs MiniMax Speech-to-Text](https://www.anchorterminal.com/compare/elevenlabs-scribe-vs-minimax-stt.md)\n- [Giggy Speech to Text vs Groq Speech-to-Text](https://www.anchorterminal.com/compare/giggy-stt-vs-groq-speech-to-text.md)\n- [Giggy Speech to Text vs MiniMax Speech-to-Text](https://www.anchorterminal.com/compare/giggy-stt-vs-minimax-stt.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- [Gladia Speech-to-Text API + MCP vs MiniMax Speech-to-Text](https://www.anchorterminal.com/compare/gladia-stt-vs-minimax-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- [Google Cloud Speech-to-Text vs MiniMax Speech-to-Text](https://www.anchorterminal.com/compare/google-speech-to-text-vs-minimax-stt.md)\n- [Groq Speech-to-Text vs IBM Watson Speech to Text](https://www.anchorterminal.com/compare/groq-speech-to-text-vs-ibm-watson-stt.md)\n- [Groq Speech-to-Text vs Inworld STT](https://www.anchorterminal.com/compare/groq-speech-to-text-vs-inworld-stt.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 OpenAI Speech to Text](https://www.anchorterminal.com/compare/groq-speech-to-text-vs-openai-speech-to-text.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 Smallest.ai Pulse STT](https://www.anchorterminal.com/compare/groq-speech-to-text-vs-smallest-pulse-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- [IBM Watson Speech to Text vs MiniMax Speech-to-Text](https://www.anchorterminal.com/compare/ibm-watson-stt-vs-minimax-stt.md)\n- [Inworld STT vs MiniMax Speech-to-Text](https://www.anchorterminal.com/compare/inworld-stt-vs-minimax-stt.md)\n- [MiniMax Speech-to-Text vs Mistral Voxtral Transcribe](https://www.anchorterminal.com/compare/minimax-stt-vs-mistral-voxtral-transcribe.md)\n- [MiniMax Speech-to-Text vs OpenAI Speech to Text](https://www.anchorterminal.com/compare/minimax-stt-vs-openai-speech-to-text.md)\n- [MiniMax Speech-to-Text vs Rev AI Speech-to-Text API](https://www.anchorterminal.com/compare/minimax-stt-vs-rev-ai-stt.md)\n- [MiniMax Speech-to-Text vs Smallest.ai Pulse STT](https://www.anchorterminal.com/compare/minimax-stt-vs-smallest-pulse-stt.md)\n- [MiniMax Speech-to-Text vs Soniox Speech-to-Text](https://www.anchorterminal.com/compare/minimax-stt-vs-soniox-stt.md)\n- [MiniMax Speech-to-Text vs Speechmatics Speech-to-Text](https://www.anchorterminal.com/compare/minimax-stt-vs-speechmatics-stt.md)\n", "meta": { "attribution": "Anchor Terminal (https://www.anchorterminal.com)", "attributionRequired": true, "credit": "CC BY 4.0, credit Anchor Terminal and link the page or API address you took it from (https://www.anchorterminal.com/terms/#data)", "docs": "https://www.anchorterminal.com/docs/", "generatedAt": "2026-11-07", "license": "CC-BY-4.0", "method": "https://www.anchorterminal.com/benchmark/", "methodology": "0.7", "openapi": "https://www.anchorterminal.com/openapi.json", "preview": false, "run": "2026-10-01", "runLabel": "October 2026 research run", "terms": "https://www.anchorterminal.com/terms/#data" }, "page": { "breadcrumbs": [ { "name": "Home", "url": "https://www.anchorterminal.com/" }, { "name": "Compare", "url": "https://www.anchorterminal.com/compare/" }, { "name": "Groq Speech-to-Text vs MiniMax Speech-to-Text", "url": "" } ], "description": "Groq Speech-to-Text scores 70.1 (BB) to MiniMax Speech-to-Text's 48.4 (D) for speech-to-text. 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