Whisper Large v3
Whisper Large v3 is OpenAI's entry in a crowded field.
Context
N/A (audio)
Input
Free (open)
Key Specifications
Arena Rank
Not disclosed
Context Window
N/A (audio)
Input Price
per 1M tokens
Free (open)
Output Price
per 1M tokens
Free (open)
Parameters
1.5B
Open Source
Best For
About Whisper Large v3
Whisper Large v3, developed by OpenAI, is an open-source automatic speech recognition model with 1.5 billion parameters supporting over 100 languages. The model transcribes audio with high accuracy, handling noisy environments, accented speech, and technical vocabulary effectively. It supports both speech-to-text transcription and speech translation across language pairs. Whisper Large v3 improves upon v2 with reduced hallucination on silence, better timestamp accuracy, and stronger performance on low-resource languages. Free and fully open-source, it can be deployed locally on consumer GPUs for privacy-sensitive transcription applications. The model has become the standard for open-source speech recognition, powering transcription services, meeting note applications, accessibility tools, and podcast processing pipelines. Its combination of broad language support, accuracy, and zero cost has made it the most widely deployed open-source ASR model.
Pricing per 1M tokens
Input Tokens
Free (open)
Output Tokens
Free (open)
Compare Whisper Large v3
See how Whisper Large v3 stacks up against other leading AI models