models/OpenAI/Whisper-Tiny-EN
OpenAI

Whisper-Tiny-EN

audio-stt
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Whisper is a pre-trained model for automatic speech recognition (ASR) and speech translation. Trained on 680k hours of labelled data, Whisper models demonstrate a strong ability to generalize to many datasets and domains without the need for fine-tuning. This is the English-only version of the Whisper Tiny model which was trained on the task of speech recognition.

MODALITIES
audio
RELEASED
2024-04-22

Whisper-Tiny-EN (openai/whisper-tiny-en) is a audio-stt model from OpenAI, released 2024-04-22. Pricing via AIgateway: $0.0040 per minute. Call it via https://api.aigateway.sh/v1/audio/transcriptions — set model="openai/whisper-tiny-en". Best for: Meeting transcripts, Captions, Voice agents.

model · openai/whisper-tiny-enfamily · Whisper

Use this model

model: openai/whisper-tiny-en
curl https://api.aigateway.sh/v1/audio/transcriptions \
  -H "Authorization: Bearer $AIGATEWAY_API_KEY" \
  -F model="openai/whisper-tiny-en" \
  -F file="@audio.mp3"

Capabilities

Strengths

  • Speech-to-text transcription

Use cases

Meeting transcriptsCaptionsVoice agents

Pricing

Per minute$0.0040
You pay pass-through · 5% applied at credit top-up, not per-call.
See API example →CompareAPI referenceSee usage ranking →

Collections

More audio models →More from OpenAI →Frontier models →Free-tier models →
API schema

Call Whisper-Tiny-EN from any OpenAI SDK

POST https://api.aigateway.sh/v1/audio/transcriptions·Content-Type: multipart/form-data·Auth: Bearer sk-aig-...

Request body

json
# multipart/form-data — use curl -F or SDK file upload
model="openai/whisper-tiny-en"
file=@audio.mp3
response_format=json    # or "verbose_json", "text", "srt", "vtt"
language=en             # optional

Response

json
{
  "text": "Hello from AIgateway.",
  "language": "en",
  "duration": 1.82
}

Quickstart

from openai import OpenAI
client = OpenAI(base_url="https://api.aigateway.sh/v1", api_key="sk-aig-...")

with open("audio.mp3", "rb") as f:
    r = client.audio.transcriptions.create(model="openai/whisper-tiny-en", file=f)
print(r.text)

Errors

401authentication_errorInvalid or missing API key
402insufficient_creditsWallet empty (PAYG only)
404not_foundUnknown model or endpoint
429rate_limit_errorOver per-minute limit — see Retry-After header
500server_errorUpstream provider failed (retryable)
503service_unavailableUpstream saturated (retryable)
Full docs →API reference →OpenAPI spec →llms.txt →

Frequently asked questions

What is Whisper-Tiny-EN?
Whisper is a pre-trained model for automatic speech recognition (ASR) and speech translation. Trained on 680k hours of labelled data, Whisper models demonstrate a strong ability to generalize to many datasets and domains without the need for fine-tuning. This is the English-only version of the Whisper Tiny model which was trained on the task of speech recognition. It is a audio-stt model from OpenAI, accessible via AIgateway's OpenAI-compatible API at slug openai/whisper-tiny-en.
How much does Whisper-Tiny-EN cost via AIgateway?
$0.0040 per minute of audio. Pass-through plus a 5% platform fee applied at top-up.
How do I call Whisper-Tiny-EN from my code?
Point the OpenAI SDK at https://api.aigateway.sh/v1 with your AIgateway key and set model to "openai/whisper-tiny-en". The request and response shapes match OpenAI exactly.
Does Whisper-Tiny-EN support streaming, tool calling, vision, and JSON mode?
Streaming — no. Tool calling — no. Vision — no. JSON mode — no. Prompt caching — no.
What are the best use cases for Whisper-Tiny-EN?
Meeting transcripts, Captions, Voice agents. Key strengths: Speech-to-text transcription.
Can I bring my own OpenAI API key (BYOK)?
Yes. Attach a OpenAI key in your AIgateway dashboard and this model flips to pass-through — you pay OpenAI directly and AIgateway waives the 5% platform fee on those calls.