Voyage 4 Lite is the latency- and cost-optimized tier of Voyage AI's Voyage 4 embedding series, priced below voyage-4 and voyage-4-large. Its embeddings are compatible with the rest of the series, and it costs the same as voyage-3.5-lite.
Pick it if
you want the Voyage 4 embedding space at a third of voyage-4's price
you embed queries cheaply against documents indexed with voyage-4-large
you need 256-2048 dimension embeddings over a 32K-token input
Skip it if
retrieval quality outweighs cost; Voyage reports voyage-4-large 4.80% ahead of it
you are indexing source code; voyage-code-4 targets code retrieval
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
FAQ
Which is cheaper, Voyage 4 Lite or Voyage 4?
Voyage 4 Lite is cheaper: $0.02/M against $0.06/M.
Which handles longer documents?
Both take up to 32k tokens per text.
Can I switch from Voyage 4 Lite to Voyage 4 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.