voyage-4-large
Embedding modelCard summarizedThe best general-purpose and multilingual retrieval quality.
Source: Voyage 4 model family launch post (no model card published)
Where to call it
- Voyage AI API
voyage-4-large
Good for
- General-purpose and multilingual retrieval at the highest Voyage 4 quality
- Indexing documents once with large while serving queries from a cheaper Voyage 4 model (asymmetric retrieval)
- Storage savings via 256–2048 dims and int8/binary outputs
Overview
Voyage AI · 01Large, front
voyage-4-large
The best general-purpose and multilingual retrieval quality.
Typical price
$0.12 / 1M tok
Text input
- Dimensions
- 1024 default
- Max input
- 32,000 tokens
- Modes
- text embeddings, multilingual retrieval
- Released
- 15 Jan 2026
voyage-4-large is the top model of the Voyage 4 text embedding family (voyage-4-large, voyage-4, voyage-4-lite and open-weights voyage-4-nano). Voyage calls it the first production-grade embedding model to use a mixture-of-experts architecture. All Voyage 4 models write into one shared embedding space, so documents indexed with voyage-4-large can be searched with queries from a smaller model. launch post
voyage-4-large- Typical price
- $0.12 / 1M tok
- Dimensions
- 1024 default (can be set to 256, 512 or 2048)
- Max input
- 32,000 tokens
- Languages
- Multilingual (languages not listed)
- Weights
- Closed
- Released
- 15 Jan 2026
- text embeddings
- multilingual retrieval