KeyoAPI
Whisper Large V3 API — Accurate Multilingual Speech to Text
Looking for a production Whisper API without locking every audio minute to a single vendor bill?
Overview
Looking for a production Whisper API without locking every audio minute to a single vendor bill? KeyoAPI exposes whisper-large-v3 as a cheap speech-to-text API behind one OpenAI-compatible gateway. Developers searching for openai whisper api alternatives usually want three things: accuracy on noisy audio, multilingual coverage, and predictable pricing they can ship in SaaS margins. This page explains how to call Whisper Large V3 on KeyoAPI, when per-request pricing wins, and how it fits next to TTS and document pipelines on the same key. Whisper Large V3 is OpenAI’s high-accuracy multilingual speech recognition model. It is widely used for call-center transcripts, meeting notes, subtitle generation, voice agents, and compliance archives. On KeyoAPI you keep the familiar audio transcription request shape while routing through an AI API relay that also hosts vision, OCR, and chat models. That matters when your product is more than STT: one vendor relationship, one top-up balance, and one observability surface instead of five separate accounts. KeyoAPI lists whisper-large-v3 at approximately $0.0103 per request. Compare that with official OpenAI Whisper pricing, which is commonly quoted around $0.006 per minute—great for long files, but harder to forecast when most uploads are 10–40 second clips. If your average clip is short, per-request billing can reduce surprise overage and simplify packaging (for example, “N transcriptions included per plan”). Always verify live rates on /pricing/whisper-large-v3 before locking a quote; catalog prices can move with upstream cost. Product teams ship Whisper into mobile voice search, CRM call logging, accessibility captions, and multilingual community moderation. Agent builders use transcription as the first stage of a tool loop: speech → text → LLM plan → action. Media startups batch overnight podcasts; education apps turn lecture audio into searchable notes. Because KeyoAPI is a unified AI API relay, the same application key can then call Qwen3-TTS for replies or MinerU2.5-Pro when users upload slides alongside audio. Point your OpenAI SDK baseURL to https://www.keyoapi.xyz/v1, set Authorization: Bearer YOUR_KEY, and send multipart audio with model=whisper-large-v3. Most clients that already call OpenAI Whisper need only two line changes: base URL and model name. For async pipelines, store the returned text, run PII redaction if required, then forward to your chat model of choice—gpt-5.6-luna for cost, claude-sonnet-5 for denser reasoning. See live try-out and account top-up at /pricing/whisper-large-v3. Unlike minute-billed Whisper hosts, Keyo meters whisper-large-v3 per request, so short clips stay predictable. Pair Turbo for live UX and keep Large V3 for archival transcripts on the same key.
Quick start
Base URL: https://www.keyoapi.xyz/v1
Endpoint: POST /v1/audio/transcriptions
Model: model=whisper-large-v3
curl https://www.keyoapi.xyz/v1/audio/transcriptions \
-H "Authorization: Bearer YOUR_API_KEY" \
-F model=whisper-large-v3 \
-F file=@./sample.wavAuth uses the same Bearer API key as chat. Full notes: Keyo docs.
FAQ
Is this the same Whisper Large V3 as OpenAI?
Yes—KeyoAPI relays Whisper Large V3 through an OpenAI-compatible API so you can keep your existing SDK code and point the base URL to https://www.keyoapi.xyz/v1.
How is billing different from OpenAI Whisper?
OpenAI typically bills Whisper by audio minute. KeyoAPI bills this model per request at $0.0103, which is often simpler for short clips, batch jobs, and predictable unit economics.
What languages does Whisper Large V3 support?
Whisper Large V3 covers a wide multilingual set for transcription and translation-oriented workloads. Use it for global support tickets, podcasts, meetings, and user-generated voice notes.