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Voyage AI Models

vai supports the full range of Voyage AI embedding, reranking, and multimodal models. This page provides a complete reference.

Current Embedding Models

ModelArchitectureContextDimensionsPrice/1M tokensRTEB Score
voyage-4-largeMoE32K256, 512, 1024, 2048$0.1271.41
voyage-4Dense32K256, 512, 1024, 2048$0.0670.07
voyage-4-liteDense32K256, 512, 1024, 2048$0.0268.10

Bold = default dimensions. All Voyage 4 models support flexible dimensions via Matryoshka representation learning.

Shared Embedding Space

All Voyage 4 models share the same embedding space, enabling asymmetric retrieval — embed documents cheaply, queries with the best model.

Domain-Specific Models

ModelContextDimensionsPrice/1M tokensDomain
voyage-code-332K256, 512, 1024, 2048$0.18Code retrieval
voyage-finance-232K1024$0.12Financial documents
voyage-law-216K1024$0.12Legal documents

Multimodal Model

ModelContextDimensionsPriceModalities
voyage-multimodal-3.532K256, 512, 1024, 2048$0.12/M tokens + $0.60/B pixelsText, images, video

Reranking Models

ModelContextPrice/1M tokensBest For
rerank-2.532K$0.05Best quality reranking
rerank-2.5-lite32K$0.02Fast, cost-effective

Upcoming Models

ModelTypeNotes
voyage-4-nanoEmbeddingOpen-weight, free, runs locally. 512d default.
voyage-context-3EmbeddingContextualized chunk embeddings

Legacy Models

Use vai models --all to see legacy models. These include voyage-3-large, voyage-3.5, voyage-3.5-lite, voyage-code-2, voyage-multimodal-3, rerank-2, and rerank-2-lite.

Competitive Landscape (RTEB Benchmarks)

ModelProviderNDCG@10 Score
voyage-4-largeVoyage AI71.41
voyage-4Voyage AI70.07
Gemini Embedding 001Google68.66
voyage-4-liteVoyage AI68.10
Cohere Embed v4Cohere65.75
OpenAI v3 LargeOpenAI62.57

Browse Models in vai

# List all current models
vai models

# Show benchmarks
vai models --benchmarks

# Include legacy models
vai models --all

# JSON output
vai models --json

Further Reading