LiteLLMModels

Whisper Base API Pricing

As of October 10, 2026, Whisper Base costs $0.006 per minute of audio on Deepgram.

By OpenAIModel ID deepgram/whisper-basePrices updated Checked
Per second
$0
Per minute
$0.006
Providers
1
Added to LiteLLM
June 2025

Whisper Base 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.

ProviderModel name in LiteLLMPer secondPer minuteContext
Deepgramdeepgram/whisper-base$0$0.006–

What Whisper Base costs in practice

Transcribing 1,000 minutes of audio

Deepgram$6.00

Use Whisper Base with LiteLLM

Call Whisper Base 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.

Python SDK
from litellm import transcription

response = transcription(
    model="deepgram/whisper-base",
    file=open("audio.mp3", "rb"),
)
Proxy config.yaml
model_list:
  - model_name: whisper-base
    litellm_params:
      model: deepgram/whisper-base
      # credentials: see the provider's LiteLLM docs page
Call the proxy
curl http://0.0.0.0:4000/v1/audio/transcriptions \
  -H "Authorization: Bearer sk-1234" \
  -F model="whisper-base" \
  -F file=@audio.mp3

Whisper Base FAQ

How much does Whisper Base cost?

Whisper Base costs $0.006 per minute of audio on Deepgram.

Which providers offer Whisper Base?

Whisper Base is available from Deepgram through LiteLLM, using the model name deepgram/whisper-base.

How do I call Whisper Base with an OpenAI-compatible API?

Use the LiteLLM Python SDK with model="deepgram/whisper-base", 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 Base?

Whisper Base 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.