Voyage 3 Large by Voyage AI — 2048D
State-of-the-art general-purpose and multilingual embedding. Outperforms OpenAI-v3-large by 9.74% across 100 datasets. Supports 32K context.
At a glance
Modalities
Dimensions
2K
Max tokens
32K
Parameters
—
Price / 1M tokens
—
Type
Matryoshka dimensions
Output types
Language support
🌍 Multilingual support
Details
| Release date | 2025-01-01 |
| License | Proprietary |
| Model ID | voyage-3-large |
| Provider | Voyage AI |
Tags
What You Need to Know About Voyage 3 Large
Complete Specifications for Voyage 3 Large by Voyage AI
Get detailed specifications for Voyage 3 Large, including output dimensionality of 2048 dimensions, maximum input token length, supported input modalities, and pricing per million tokens. This embedding model is designed for semantic search, text classification, clustering, and retrieval-augmented generation applications where understanding the relationship between texts is essential.
Pricing and Cost Efficiency for Voyage 3 Large
Review the pricing structure for Voyage 3 Large and compare it against other embedding models from Voyage AI and competitors. Understanding embedding model costs is essential when scaling vector search and RAG applications to millions of documents. We provide transparent pricing to help you budget effectively.
Use Cases and Applications for Voyage 3 Large
Explore the ideal use cases for Voyage 3 Large. Whether you are building a semantic search engine, recommendation system, document classification pipeline, or multilingual retrieval system, understanding this model's capabilities and dimensionality will help you choose the right embedding strategy for your project.