Voyage 3.5 Lite is Voyage AI's cost-efficient embedding model with a context window of 0 tokens. It outperforms OpenAI text-embedding-3-large by 6.34% and achieves retrieval quality within 0.3% of Cohere Embed v4 at one-sixth the cost.
import { embed } from 'ai';
const result = await embed({ model: 'voyage/voyage-3.5-lite', value: 'Sunny day at the beach',})Voyage 3.5 Lite is Voyage AI's cost-efficient embedding model, released May 20, 2025. It supports a context window of 0 tokens and produces embeddings in four dimensions: 2048, 1024, 512, and 256. Voyage 3.5 Lite outperforms OpenAI text-embedding-3-large by 6.34% and its predecessor voyage-3-lite by 4.28% on average across eight retrieval domains.
Voyage 3.5 Lite achieves retrieval quality within 0.3% of Cohere Embed v4 at one-sixth the cost. That makes it a practical choice for high-volume embedding workloads where per-token pricing matters. It supports the same Matryoshka dimensionality and quantization-aware training as the premium voyage-3.5, including 32-bit float, 8-bit integer, and binary precision formats. Binary rescoring yields up to 6.89% quality improvement.
If you run large-scale RAG pipelines or semantic search over millions of documents, Voyage 3.5 Lite keeps embedding infrastructure affordable without dropping to a lower quality tier. Voyage AI recommends it for cost-sensitive production deployments.