Voyage 4 is the middle tier of Voyage AI's Voyage 4 embedding series, for general-purpose and multilingual retrieval. It sits between voyage-4-lite and voyage-4-large, and embeddings from all three can be used interchangeably.
Pick it if
you want half voyage-4-large's price; Voyage reports large 1.87% ahead on average
you need multilingual retrieval or 256-2048 dimension embeddings
you may mix it with other Voyage 4 models in one index
Skip it if
voyage-4-lite is accurate enough at a third of the price
you are indexing source code; voyage-code-4 is optimized for code retrieval
Voyage 4 Large is the top tier of Voyage AI's Voyage 4 embedding series, a mixture-of-experts model for general-purpose and multilingual retrieval. It sits above voyage-4 and voyage-4-lite, and all three share one embedding space.
Pick it if
retrieval quality matters more than cost per token
you want to embed documents with it and run queries on voyage-4-lite
you need multilingual retrieval or 256-2048 dimension embeddings
Skip it if
voyage-4 or voyage-4-lite is accurate enough at a lower price
you are indexing source code; voyage-code-4 targets code retrieval
FAQ
Which is cheaper, Voyage 4 or Voyage 4 Large?
Voyage 4 is cheaper: $0.06/M against $0.12/M.
Which handles longer documents?
Both take up to 32k tokens per text.
Can I switch from Voyage 4 to Voyage 4 Large without re-indexing?
No. Vectors from different embedding models are not comparable, so a switch means re-embedding the whole corpus.
Try either model
Switch between models inside the same Octomind session.