VoyageAI
VoyageAI by MongoDB: voyage-4-lite
voyageai/voyage-4-lite
voyage-4-lite is a lightweight, general-purpose embedding model optimized for low latency and cost. Enabled by Matryoshka learning and quantization-aware training, voyage-4-lite supports embeddings in 2048, 1024, 512, and 256 dimensions, with multiple quantization options. Learn more about voyage-4-lite here: blog.voyageai.com/2026/01/15/voyage-4
Input
$0.02
/ 1M tokens · Token reference
Output
$0
/ 1M tokens · Token reference
Context window
32K
tokens
Embeddings output · Token reference fields do not establish an output-unit price.
Limits
Context
32,000
tokens
Max output
28,800
90% of the context window
Model facts
Author
VoyageAI
Tokenizer
Other
Modality
Text -> Embeddings
Created
Jul 27, 2026
Publication status
Hugging Face: not mappedLicense: not publishedParameter count: not published
Modalities
Input · TextOutput · Embeddings