Whisper Large v3 Turbo
Whisper Large v3 Turbo
📌 Model Overview
Speech transcription model for accurate audio-to-text and captioning workflows
Whisper Large v3 Turbo is a Open Weights model developed by OpenAI, released on 2024-10-01. It is designed primarily for Multimodal General workloads. Featuring a 448 tokens context window and Undisclosed parameter count, it offers robust performance for enterprise integration, developers, and researchers.
✨ Key Features & Capabilities
| Feature | Description |
|---|---|
| Context Window | 448 tokens capacity for extended prompts and multi-turn workflows |
| Primary Task | Optimized for Multimodal General |
| Deployment | self-hostable, api-only |
| Modality | audio, text |
| Max Output | Max Output: 448 tokens |
⚙️ Technical Specifications
| Specification | Details |
|---|---|
| Developer / Lab | OpenAI |
| Release Date | 2024-10-01 |
| Model Type | Open Weights |
| Parameters | Undisclosed |
| Context Window | 448 tokens |
| License | proprietary |
| Model Family | whisper |
💰 Pricing
| Tier / Unit | Rate (USD) |
|---|---|
| 1M input tokens | $0.0023 |
| 1M output tokens | $0.0023 |
📜 License & Usage
This model is governed by the proprietary license. Please check official developer guidelines before commercial deployment.
Key Features
Max Output: 448 tokens
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Verified Sources
Tags
Model Specs
Parameters
Undisclosed
Context Window
448 tokens
License
proprietary
Deployment
Pricing
- 1M input tokens$0.0023
- 1M output tokens$0.0023
as of 2026-07-26
Lineage
Curator Notes
Skeleton entry imported from models.dev backfill (2026-07-26). Needs manual enrichment and primary-source verification.
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