Whisper Tiny API Pricing
As of October 10, 2026, Whisper Tiny costs $0.006 per minute of audio on Deepgram.
- Per second
- $0
- Per minute
- $0.006
- Providers
- 1
- Added to LiteLLM
- June 2025
Whisper Tiny pricing by provider
1 listing across 1 provider. Token prices are in US dollars per 1M tokens. The highlighted row is the price quoted above.
| Provider | Model name in LiteLLM | Per second | Per minute | Context |
|---|---|---|---|---|
| Deepgram | deepgram/whisper-tiny | $0 | $0.006 | – |
What Whisper Tiny costs in practice
Transcribing 1,000 minutes of audio
| Deepgram | $6.00 |
Use Whisper Tiny with LiteLLM
Call Whisper Tiny through the LiteLLM Python SDK, or put it behind the LiteLLM proxy and send OpenAI-format requests to /v1/audio/transcriptions. LiteLLM tracks the cost of every request at these prices.
from litellm import transcription
response = transcription(
model="deepgram/whisper-tiny",
file=open("audio.mp3", "rb"),
)model_list:
- model_name: whisper-tiny
litellm_params:
model: deepgram/whisper-tiny
# credentials: see the provider's LiteLLM docs pagecurl http://0.0.0.0:4000/v1/audio/transcriptions \ -H "Authorization: Bearer sk-1234" \ -F model="whisper-tiny" \ -F file=@audio.mp3
Whisper Tiny FAQ
How much does Whisper Tiny cost?
Whisper Tiny costs $0.006 per minute of audio on Deepgram.
Which providers offer Whisper Tiny?
Whisper Tiny is available from Deepgram through LiteLLM, using the model name deepgram/whisper-tiny.
How do I call Whisper Tiny with an OpenAI-compatible API?
Use the LiteLLM Python SDK with model="deepgram/whisper-tiny", or add the model to the LiteLLM proxy's config.yaml and send requests to /v1/audio/transcriptions from any OpenAI client. LiteLLM tracks the cost of every request at the prices on this page.
When did LiteLLM add Whisper Tiny?
Whisper Tiny was added to LiteLLM's model price file in June 2025.
Sources
Prices come from LiteLLM's open-source model_prices_and_context_window.json, which LiteLLM uses to calculate the cost of every request. Provider pricing pages:
LiteLLM docs: Deepgram.
Provider pages: Deepgram.
