# Azure AI Speech speech-to-text vs MiniMax Speech-to-Text (slim)

> Azure AI Speech speech-to-text scores 75.1 (BB) to MiniMax Speech-to-Text's 48.4 (D) for speech-to-text. Prices, MCP, x402, uptime and agent notes side by side.

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- Index: https://www.anchorterminal.com/llms.txt · API: https://www.anchorterminal.com/api/v1/index.json · MCP: https://www.anchorterminal.com/mcp · Updated: 2026-11-07
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Azure AI Speech speech-to-text scores 75.1 (BB) on agent readiness against MiniMax Speech-to-Text's 48.4 (D), and leads in 5 of 7 scored categories. Both do speech-to-text.

- Azure AI Speech speech-to-text: BB 75.1, rank #71 of 1486 · https://www.anchorterminal.com/tools/azure-speech-to-text.min.md
- MiniMax Speech-to-Text: D 48.4, rank #1114 of 1486 · https://www.anchorterminal.com/tools/minimax-stt.min.md
- Azure AI Speech speech-to-text, good for Teams on Azure who need several modes (real time, synchronous files, cheap batch, custom models) under one resource, or strict default data handling. Ahead on Reliability, 90 against 47; Agent ergonomics, 75 against 70; Security & auth, 85 against 33; Maintenance & community, 80 against 6; Transparency & trust, 86 against 63. Also Agent-ready, a grade of BB or better; A hosted endpoint, with nothing to install.
- MiniMax Speech-to-Text, good for Cheap file transcription with diarisation and subtitles, strongest on Chinese and code-switched audio by the vendor's account.

| Category | Azure AI Speech speech-to-text | MiniMax Speech-to-Text |
| --- | --- | --- |
| Reliability (16%) | 90 | 47 |
| Performance (10%) | pending | pending |
| Schema & documentation (13%) | 80 | 82 |
| Agent ergonomics (13%) | 75 | 70 |
| Security & auth (14%) | 85 | 33 |
| Payments & pricing (10%) | 20 | 20 |
| Task success (10%) | pending | pending |
| Maintenance & community (7%) | 80 | 6 |
| Transparency & trust (7%) | 86 | 63 |

| Fact (where they differ) | Azure AI Speech speech-to-text | MiniMax Speech-to-Text |
| --- | --- | --- |
| Vendor | Microsoft | MiniMax |
| Hosted endpoint | `https://eastus.api.cognitive.microsoft.com/speechtotext` | no (local only) |
| Auth | OAuth or key | API key |
| Pricing | Freemium | Pay per use |
| Licence | MIT (samples), SDK under Microsoft's own licence | none |
| Tools exposed | none | 0 |
| llms.txt | no | yes |
| Last release | 2026-10-21 | none |
| Privacy policy last updated | 2026-09-01 | couldn't be read |
| Customer content may train models | yes | couldn't be read |
| Popularity | 3.5k stars, 476k npm/wk, 1M PyPI/wk | none |
| Agent reviews | 3.3/5 (8) | none |

Why the edge:
- Maintenance & community, Azure AI Speech speech-to-text +74: Azure AI Speech speech-to-text 80 (Speech SDK 1.53.0 is the latest on npm on 1 November (the JavaScript SDK's v1.53.0 tag is dated 21 October, and the samples repository moved to 1.53.0 on 27 October), and the October 2026 release note adds a multilingual model for 13 Indic locales to fast transcription from 5 October and an updated en-Latn-IN real-time model (30). Release notes for August, September and October 2026, and SDK 1.52.0 (September) and 1.53.0 (October) (20). Public release notes, a GitHub samples repository and Microsoft Q&A (10). Speech SDK current in eight languages (15). The SDK itself is a closed binary, so we can't see its CI (5). 30 + 20 + 10 + 15 + 5 = 80.); 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.)
- Security & auth, Azure AI Speech speech-to-text +52: Azure AI Speech speech-to-text 85 (Model reading of the checklist, with training and retention in place of least-privilege and injection lines. Two regenerable resource keys for rotation, or Microsoft Entra ID tokens with Azure role-based access, which Microsoft recommends (30). Less 10 because the Realtime route for MAI-Transcribe-2-Streaming, added on 1 October 2026, documents an `api-key` query-string parameter on the WebSocket URI, using the same resource key, still so on the page updated 7 October and re-read on 1 November. The speech-to-text REST, fast, batch and Speech SDK docs take the key in a header only, so the deduction is applied once. SAS URLs for batch audio are scoped tokens for the customer's own storage, not the Speech credential, and aren't deducted (20). Microsoft doesn't use customer audio to train its models, per the 1 October check, not re-read since (20). Real-time and fast transcription audio isn't stored, and batch output stays until deleted or `timeToLive` expires, per the data privacy page updated 2026-08-26 and re-read on 1 November (15). Azure Monitor and the activity log record resource actions, though we didn't confirm per-request Speech logging (10). The MSRC disclosure policy, Microsoft's Azure bounty programme, SOC 2 and ISO 27001 reports, and public advisories. An MSRC search on 1 November found no CVE for the Azure Speech service (the Speech entries are Windows Speech components and Chromium). The microsoft.com security.txt passed its Expires date on 2026-09-23 and was still expired on 1 November, which we note without deducting, as on 5 and 17 October (20). 20 + 20 + 15 + 10 + 20 = 85.); 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.)
- Reliability, Azure AI Speech speech-to-text +43: Azure AI Speech speech-to-text 90 (Azure status page with post-incident reviews (20). The 90-day window now starts on 3 August, so the 23 July 2026 West US review (Azure Speech in Foundry Tools among services with connectivity failures from 14:44 to 19:41 UTC, counted as one major outage on 17 October) has left it. Two reviews remain on 1 November. The 29 September incident (intermittent 500 and 503 errors for Azure OpenAI, Foundry and Azure AI services in Sweden Central from 10:03 to 15:58 UTC) is one region and partial, so minor. The 30 September to 1 October gateway review (20:30 to 02:15 UTC) names networking services, not Speech. Nothing newer is listed. Minor incidents only (20). Limits published with numbers, 100 concurrent real-time requests and 600 fast or batch requests a minute by default, on the quotas page updated 23 October and re-read on 1 November (15). 429 documented as usually meaning autoscaling in progress, with retry logic advised and a 1-2-4-4 minute pattern for ramping load. Fast transcription is synchronous, so a retry doesn't duplicate a job (15). Covered by Microsoft's online services SLA, per the 1 October check (10). Fast transcription, batch and real time are GA. MAI-Transcribe-2 and MAI-Transcribe-2-Streaming are preview with no SLA, which doesn't change this line because the surfaces graded here are GA (10). 20 + 20 + 15 + 15 + 10 + 10 = 90.); 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.)
- Transparency & trust, Azure AI Speech speech-to-text +23: Azure AI Speech speech-to-text 86 (Closed service under Microsoft's product terms, with an MIT samples repository (15). The data privacy page, the privacy statement and the product terms agree on no storage for real time, retention until deletion for batch and no training (25). The data privacy page, re-read on 1 November and still dated 26 August, doesn't name the MAI streaming model. Dated retirements, REST API v3.0 and the v3.2 previews on 2026-03-31 and MAI-Transcribe-1 deprecated on 2026-08-20, under Microsoft's published lifecycle policy. The versions page now says 2024-05-15-preview will be retired on a date to be announced (20). Regions chosen per resource and a public sub-processor list (20). 15 + 25 + 20 + 20 = 80.); 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.)
- Agent ergonomics, Azure AI Speech speech-to-text +5: Azure AI Speech speech-to-text 75 (API reading of the checklist, per the 5 October check, not re-read on 17 October. Fast transcription returns combined text plus per-phrase detail, with word timestamps opt-in, but no field selection (15). Batch transcriptions and files list with `top`, `skip` and a next link (20). Error responses carry codes and messages, documented in the REST reference (15). No idempotency key on batch creation (10). Fast transcription needs a key, a file and a locale. Speech SDKs in C#, C++, Java, JavaScript, Python, Go, Objective-C and Swift (15). 15 + 20 + 15 + 10 + 15 = 75.); MiniMax Speech-to-Text 70 (API reading of the checklist. The default `json` returns only text, duration and a trace ID, with segments and subtitles opt-in (22 of 25). No lists to page. `response_format` and `language` are the output controls (12 of 20). Typed error envelopes with the real HTTP status, an error type and `request_id`, and 402 for an empty balance (18 of 20). Calls are synchronous with no idempotency key (10 of 20). Two fields, a model and a file. No official SDK, and MiniMax's MCP servers don't cover transcription (8 of 15). Total 70.)

| Task | Azure AI Speech speech-to-text | MiniMax Speech-to-Text |
| --- | --- | --- |
| Transcribe a one-hour meeting | $0.10 to $1.20 | $0.38 |