LLM Reference

Whisper

Released
2023-03-01
Last refreshed
2026-06-07
Status
Researched 89d ago
ProprietaryCommercial use: conditionalMultimodalVisionAudio

Whisper is worth evaluating for vision when its provider route and context window match the workload.

Use it for

  • Teams evaluating vision
  • Buyers comparing 1 tracked provider route

Do not use it for

  • Strict JSON or tool-calling flows
Specifications
Released
2023-03-01
Architecture
Audio / Speech
Specialization
speech-recognition
Openness
Proprietary
License
ProprietaryCommercial use: conditional
Weights
Not released
Code
Unknown
Training
Pretrained
Created by

Cutting-edge research and development.

San Francisco, California, United States
Founded 2015
Website
Pricing
Output / 1M
-
Input / 1M
-

Cheapest of 1 route · OpenAI API

About

Whisper 1 is OpenAI's general-purpose speech recognition API model, based on Whisper large-v2, released March 2023. Supports multilingual transcription across 50+ languages, speech translation into English, and language identification. Priced at $0.006/min of audio (flat per-minute rate). Exposed via /v1/audio/transcriptions and /v1/audio/translations. For new applications, gpt-4o-transcribe offers better accuracy. API ID: whisper-1.

Top use-case fit

Vision

Included by capability and metadata signals in the decision map.

Provider price ladder

Compare API pricing across 1 providers for input and output tokens, batch, and cached reads when available.

ProviderInput / 1MOutput / 1MRoute
OpenAI API--
ServerlessPartial

Available via routers & gateways(15)

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-1