MyCaptionAI
Introducing WhisperOpenAIReleased March 1, 2023

Whisper

Universal speech recognition model trained on 680,000 hours of multilingual and multitask supervised audio data.

audio-transcriptionOpen Weights & API$0.006 / min audioContext: 30K (30,000 tokens)
Official Model Card & DocsTry in AI Studio / PlaygroundResearch PaperGitHub RepositoryHugging Face

Technical Specifications

Architecture Type
Sequence-to-Sequence Audio Transformer
Total Parameters
1.5B (large-v3 equivalent)
Context Window
30K (30,000 tokens)
Max Output Tokens
4.096K (4,096 tokens)
Knowledge Cutoff
May 2022
Supported Modalities
audio, speech, text
License & Access
MIT License (Weights) / OpenAI API Terms
Weights Formats
safetensors, onnx, gguf

Benchmark Evaluations

English Wer
4.2
Multilingual Average Wer
7.8

Deep Architectural Overview

Whisper revolutionized automated speech recognition (ASR). Robust against background noise, accents, and technical jargon, it provides multilingual transcription and English translation available both via API and open-source MIT weights.

Strengths & Considerations

Core Strengths
  • Exceptional noise and accent robustness
  • Freely available MIT open weights
  • Low API cost ($0.006/minute)
Known Limitations
  • Audio chunking required for files exceeding 25MB via API

Token & API Pricing

Input Tokens (1M)Free (Open Weights)
Output Tokens (1M)Free (Open Weights)
Self-Hosted Min VRAM4 GB
Pricing is verified directly against OpenAI's developer documentation and API rate sheets.

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