LLM Reference

Whisper Base

Released
2022-12-06
Last refreshed
2026-06-07
Status
Researched today
Open SourceCommercial use allowedMultimodalVisionAudio

Whisper Base has model metadata, but missing tracked provider pricing keeps it from being a default production pick.

Use it for

  • Teams evaluating vision

Do not use it for

  • Cost-sensitive launches that need sourced token pricing
  • Strict JSON or tool-calling flows
  • Teams that need a tracked hosted API route today
Specifications
Released
2022-12-06
Parameters
74M
Architecture
transformer
Specialization
speech-recognition
Openness
Open source
License
MIT(OSI)Commercial use allowed
Training
pretrained
Created by

Cutting-edge research and development.

San Francisco, California, United States
Founded 2015
Website
Pricing

No tracked provider token pricing is available yet.

About

OpenAI's Whisper base-size model for general-purpose automatic speech recognition. Multilingual transcription with good accuracy.

Whisper Base is an open-source model in the OpenAI Whisper family. The structured metadata tracks multimodal input and audio. No headline benchmark score is tracked for Whisper Base yet.

Top use-case fit

Vision

Included by capability and metadata signals in the decision map.

Provider price ladder

No tracked provider token pricing is available for this model yet.

Capabilities

MultimodalAudio

Benchmark peer barsfor Vision

No task-mapped benchmark peers are available for this model yet.

Migration checks

No linked migration route is available for this model yet.

API versions

whisper-base