Head to head · Speech-to-text · October 2026 research run

Giggy Speech to Text vs MiniMax Speech-to-Text

Giggy Speech to Text scores 54.5 (C) on agent readiness against MiniMax Speech-to-Text's 48.4 (D), and leads in 4 of 7 scored categories. MiniMax Speech-to-Text leads on schema & documentation and transparency & trust. Both do speech-to-text.

Best speech-to-text APIs for AI agents · All 320 stt comparisons

Which one, for what

Giggy Speech to Text C

Best for Agents and voice pipelines that need plain transcripts of recorded or live speech at a few cents an hour, or free for clips under 25 minutes, and can convert audio to 16 kHz mono WAV first.

Ahead on

  • Security & auth, 57 against 33
  • Payments & pricing, 30 against 20
  • Maintenance & community, 69 against 6

Also in its favour

  • A hosted endpoint, with nothing to install

Watch for

Recorded input must be PCM16 mono 16 kHz WAV, so MP3, M4A, stereo or other sample rates need converting before upload

MiniMax Speech-to-Text D

Best for Cheap file transcription with diarisation and subtitles, strongest on Chinese and code-switched audio by the vendor's account.

Ahead on

  • Schema & documentation, 82 against 68
  • Transparency & trust, 63 against 30

Watch for

Files only, up to 500 seconds and 50 MB; live audio input isn't supported

Why the edge

Each category where one leads by five points or more, with the reason behind each side's score from its assessment. The numbers are in the table below; this is what they stand for.

Maintenance & community Giggy Speech to Text +63

Giggy Speech to Text 69

Read as a model, on the lines deepgram-stt and cartesia-ink-stt use (recency 30, dated releases 10, deprecation notice 10, support 15, issues 10, SDKs 15, health 10). The Python and Node SDKs released 0.2.1 and the Pipecat adapter 0.3.3 on 1 November 2026, and the examples and MCP repositories changed on 3 November (30). Since 7 October the Node SDK has four tagged releases, the Python SDK six and the Pipecat adapter six, the STT ones from 12 October (10). No deprecation policy or dated notice. The legacy https://giggy.ai/v1 origin and older SDK transports are kept 'for existing integrations' with no end date (2 of 10). No service changelog; the support and contact pages drew by script, and GitHub issues is the support URL in the plugin manifest (5 of 15). GitHub issues and reply times could not be read, since the GitHub API was not available to this session (0 of 10). Official SDKs current, giggy and @giggy-ai/sdk at 0.2.1 on PyPI and npm (15). CI workflows in five repositories and publish workflows, the n8n node through npm OIDC with provenance, and two runtime dependencies in each SDK; run results not seen (7 of 10). 30+10+2+5+0+15+7 = 69.

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.

Transparency & trust MiniMax Speech-to-Text +33

Giggy Speech to Text 30

Closed hosted service. The terms exist at /terms but draw by script and could not be read, so their clarity is unknown; the SDK, Pipecat and MCP repositories are ISC and the n8n node MIT (5 of 30). What could be read agrees with itself, no training on user data, an optional 12-hour retention flag, a seven-day window for Batch audio, and the EEA compute flag. The privacy policy, any DPA and a retention period for transcripts were not found or not readable (12 of 30). No deprecation policy or dated notices, only a statement that the legacy origin remains supported (3 of 20). No subprocessors or data locations are named; the EEA-adequate compute option implies processing outside the EEA by default without saying where (3 of 20). 5+12+3+3 = 23.

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.

Security & auth Giggy Speech to Text +24

Giggy Speech to Text 57

Model reading of the checklist, with training and retention in place of the least-privilege and injection lines, as for deepgram-stt and cartesia-ink-stt. Keys prefixed giggy_sk_ are shown once on creation or rotation, rejected immediately after revocation, limited to ten per space and tied to the space that made them, with REST budgets that Workspace members can set. No scopes or expiry were found. The key travels in a header only, with no query-string option documented (22 of 30). The workspace privacy guide states 'Giggy does not use user data to train models'. The privacy policy and terms draw by script and could not be read to confirm it (18 of 20). Requests can opt into 12-hour content retention and EEA-adequate compute, and a guide gives Batch audio a seven-day window, but no retention period for transcripts was found and results can vanish after an unstated 'retention cleanup' (9 of 15). Generation history per space and a request ID on errors; no audit log of key or admin actions was found (8 of 15). /.well-known/security.txt answered a client error, none of the six repositories has a SECURITY.md, and no disclosure policy, bug bounty or certification was found on the pages that rendered; the support page that may name a reporting route drew by script (0 of 20). 22+18+9+8+0 = 57.

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.

Schema & documentation MiniMax Speech-to-Text +14

Giggy Speech to Text 68

Model reading, with the API reference. The docs and llms.txt link an OpenAPI 3.1 file at https://api.giggy.ai/v1/openapi.json, but api.giggy.ai's robots.txt could not be read, so the file wasn't fetched. We credit only what the reference pages show of it, typed mode values, the privacy booleans and a typed error body, and there is no AsyncAPI file for the live socket (12 of 25). llms.txt and llms-full.txt (10). The docs say when to use each mode and transport, that MCP is not a live transport, that an OpenAI base-URL swap does not work for STT, and which options have no equivalent, more than most listings say about when not to use something (17 of 20). mode is an enum of three values and the input format is fixed, but language is a free code or name with no published list, and the MCP input schemas were read only from the repository's docs, not from the server (11 of 15). Examples in the SDK READMEs, the examples repository and a Postman collection, and an error table of ten statuses with type, code, message, status, request_id and param fields, though only one code value is named (11 of 15). Paths are under /v1 and the SDK and Pipecat repositories keep CHANGELOG.md files, dated in two of them, but there is no service changelog (7 of 15). 12+10+17+11+11+7 = 68.

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.

Payments & pricing Giggy Speech to Text +10

Giggy Speech to Text 30

No x402, MPP or L402 (0). Per-hour prices for Batch, Fast and Streaming and every credit pack published without a login (20). Free Batch transcription and Personal free credits topped up to 10,000 a month, but no page read says whether a card is needed, so half, as other listings read an unstated card requirement (10 of 20). A person signs up in a browser and creates the key there; no programmatic key route was found (0). 0+20+10+0 = 30.

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.

Score by category

CategoryWeight this runGiggy Speech to TextMiniMax Speech-to-TextEdge
Reliability16%205047Giggy Speech to Text +3
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.26882MiniMax Speech-to-Text +14
Agent ergonomics13%16.26870MiniMax Speech-to-Text +2
Security & auth14%17.55733Giggy Speech to Text +24
Payments & pricing10%12.53020Giggy Speech to Text +10
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.8696Giggy Speech to Text +63
Transparency & trust7%8.83063MiniMax Speech-to-Text +33
Negative events≤1500
TotalC 54.5/100D 48.4/100

Facts side by side

FactGiggy Speech to TextMiniMax Speech-to-Text
KindModel APIModel API
VendorGiggyMiniMax
Hosted endpointhttps://api.giggy.ai/v1no (local only)
TransportsHTTP, SSE (legacy), websocket, Streamable HTTPHTTP
AuthAPI keyAPI key
PricingFreemiumPay per use
x402nono
LicenceProprietary hosted service. The terms page draws its text by script and was not read. The Python and Node SDKs, the Pipecat adapter and the MCP repository are ISC (Copyright 2026 Giggy), the n8n node MITnone
Tools exposednone0
Read-only variant documentednono
llms.txtyesyes
MCP registryio.github.GRQDigitalCapital/giggy-mcpnot listed
Last release2026-11-01none
Terms last updatednot read yetcouldn't be read
Privacy policy last updatednot read yetcouldn't be read
Customer content may train modelsnot read yetcouldn't be read
Terms restrict automated accessnot read yetcouldn't be read
Terms restrict benchmarkingnot read yetcouldn't be read
Terms or service can change without noticenot read yetcouldn't be read
Arbitration or class-action waivernot read yetcouldn't be read

What the same task costs

TaskGiggy Speech to TextMiniMax Speech-to-Text
Transcribe a one-hour meeting60 minutes of recorded audio$0.04 to $0.09$0.38

Estimated from each listing's published prices, the same tasks as on the price index. Plans, minimums and free allowances aren't counted.

Verdicts

Giggy Speech to Text

Fast transcription costs $0.04 an input audio hour and Batch is free up to 25 minutes, with published rate limits, Retry-After and a rule to check a generation before resubmitting. Input must be 16 kHz mono WAV, there are no timestamps or speaker labels, the status page covers text-to-speech only, and no company is named on pages we could read.

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.

Before you call either

Giggy Speech to Text

  1. Pass mode=batch explicitly for free transcription. Raw REST and MCP default to paid Fast when mode is omitted.
  2. Convert audio to PCM16 mono 16 kHz WAV first and send it as the raw body with Content-Type: audio/wav.
  3. Keep the generation_uuid from the 202 and poll GET /v1/generations/{uuid}. Never re-upload after a timeout or 504 before reading that generation.
  4. Fetch the transcript from the signed generation.result.url after completion, without the API key. It can disappear after retention cleanup.
  5. On the live WebSocket, replace earlier text with each cumulative transcription event and publish final text only after input_complete.

MiniMax Speech-to-Text

  1. Split recordings into pieces under 500 seconds before uploading, since longer audio returns 400
  2. Convert to mono 16 kHz or a compressed format to stay under 50 MB
  3. Use verbose_json for speakers and timestamps, and json only when streaming
  4. Treat 402 insufficient_balance_error as final and ask the user to top up
  5. Use https://api.minimaxi.com for a mainland China account

Questions

Which is better for AI agents, Giggy Speech to Text or MiniMax Speech-to-Text?

Giggy Speech to Text scores 54.5 (C) on agent readiness against MiniMax Speech-to-Text's 48.4 (D), and leads in 4 of 7 scored categories. MiniMax Speech-to-Text leads on schema & documentation and transparency & trust.

Do Giggy Speech to Text and MiniMax Speech-to-Text need an API key?

Both need an API key.

Can an agent call Giggy Speech to Text and MiniMax Speech-to-Text without installing anything?

Giggy Speech to Text has a hosted endpoint at https://api.giggy.ai/v1. No hosted endpoint is listed for MiniMax Speech-to-Text.

Other comparisons with Giggy Speech to Text or MiniMax Speech-to-Text

Machine-readable

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