Whisper Large V3 Turbo API — Faster Speech-to-Text
Whisper Large V3 Turbo is the latency-oriented sibling of Whisper Large V3—ideal when your product feels sluggish if transcription takes too long.
Overview
Whisper Large V3 Turbo is the latency-oriented sibling of Whisper Large V3—ideal when your product feels sluggish if transcription takes too long. KeyoAPI offers this Whisper API option through the same OpenAI-compatible gateway used for chat and vision, so teams searching for a fast speech to text api do not need a second vendor. This page covers Turbo’s role in interactive apps, how pricing works on KeyoAPI, and how to roll out with feature flags. Turbo keeps the multilingual Whisper family behavior while optimizing for speed. That trade-off is popular in customer-support copilots, in-car voice, kiosk systems, and real-time note capture where users stare at a spinner. As an AI API relay, KeyoAPI lets you start on Turbo for UX, then fall back to whisper-large-v3 for archival jobs that prioritize fidelity. Listed pricing is about $0.0103 per request—simple unit economics for product managers packaging “transcriptions per month.” Compare against minute-based official Whisper bills when your traffic mix is bursty or clip lengths vary widely. Use /compare to see how speech pricing sits next to LLM and vision costs on the same wallet. Interactive tutoring apps stream short student answers and need sub-second feel. Ops tools watch warehouse radios or drive-thru audio where delay equals abandoned tickets. Content moderation queues prefer Turbo for first-pass triage, then escalate unclear audio to Large V3. Pair Turbo transcripts with gpt-5.6-luna for cheap summarization or claude-fable-5 when the next step is a long agent plan. Use the OpenAI audio transcriptions endpoint with model=whisper-large-v3-turbo against https://www.keyoapi.xyz/v1. Instrument latency histograms in your backend so you can prove Turbo’s win in production. CTA: open /pricing/whisper-large-v3-turbo to create a key and run a sample file. Turbo is the latency lane: ship interactive voice UX here, then fall back to whisper-large-v3 when fidelity beats speed. Feature-flag the model string without changing auth.
Quick start
Base URL: https://www.keyoapi.xyz/v1
Endpoint: POST /v1/audio/transcriptions
Model: model=whisper-large-v3-turbo
curl https://www.keyoapi.xyz/v1/audio/transcriptions \
-H "Authorization: Bearer YOUR_API_KEY" \
-F model=whisper-large-v3-turbo \
-F file=@./sample.wav
Auth uses the same Bearer API key as chat. Full notes: Keyo docs.
FAQ
When should I pick Turbo over Large V3?
Choose Turbo when latency and throughput matter more than squeezing the last bit of accuracy—interactive voice UIs, live coaching, and high-QPS back-office jobs.
Is the price the same as whisper-large-v3?
On KeyoAPI both are listed around $0.0103 per request. Confirm the live catalog page before committing volume contracts.
Can I A/B test both models with one key?
Yes. Keep the same base URL and API key; only change the model field between whisper-large-v3 and whisper-large-v3-turbo.