AI Tool
Voyage AI pricing, features, company info, and alternatives
A factual product page for Voyage AI as an embeddings and reranking platform for retrieval workloads.
Last updated April 2026 · Pricing and features verified against official documentation
Pricing
Current public pricing tiers on file for Voyage AI, last verified Apr 26, 2026.
Text embeddings
Usage-based
First 200 million tokens are free for voyage-4-large, voyage-4, voyage-4-lite, voyage-context-3, and voyage-code-3; then pricing ranges from $0.02 to $0.18 per million tokens depending on model.
Multimodal embeddings
Usage-based
First 200 million text tokens and 150 billion pixels are free for voyage-multimodal-3.5 and voyage-multimodal-3; then pricing is $0.12 per million text tokens and $0.60 per billion pixels.
Rerankers
Usage-based
First 200 million tokens are free for rerank-2.5, rerank-2.5-lite, rerank-2, and rerank-2-lite; then pricing is $0.02 to $0.05 per million tokens.
Batch API and Files API
Usage-based
The Batch API has a 12-hour completion window and a 33% discount versus standard endpoints; Files API storage is priced at $0.05 per GB per month.
What You Can Do With It
The main capabilities that shape how people use Voyage AI today.
Offers separate embedding, contextual chunk embedding, multimodal embedding, and reranking APIs.
The Voyage 4 series uses a shared embedding space and supports configurable dimensions.
voyage-multimodal-3.5 adds video retrieval and Matryoshka embeddings for flexible dimensionality.
The homepage highlights low dimensionality, low latency, cost efficiency, and a 32K commercial context length.
Best For
Who Voyage AI is most clearly built for.
Teams building semantic search or RAG pipelines over text-heavy or mixed-media corpora.
Developers who want retrieval embeddings and rerankers from the same vendor.
Buyers who need API access plus cloud-platform distribution through AWS, Azure, GCP, MongoDB Atlas, or Snowflake.
Model Notes
Current model information surfaced publicly for Voyage AI.
Latest model
voyage-4-large
Model
voyage-4
Model
voyage-4-lite
Model
voyage-4-nano
Model
voyage-multimodal-3.5
Model
rerank-2.5
Model
voyage-context-3
Model
voyage-code-3
Company
Leadership and company context for Voyage AI Innovations, Inc..
CEO
Tengyu Ma
Headquarters
Palo Alto, California
Platforms
Where you can use Voyage AI today.
Web dashboard
API
Python SDK
TypeScript SDK
Integrations
Notable connected tools and ecosystem hooks for Voyage AI.
MongoDB Atlas
Vertex AI
AWS Marketplace
Azure Marketplace
Snowflake
Privacy Notes
Publicly stated data-handling notes that matter when evaluating Voyage AI.
The privacy policy says business entity API customers under separate commercial agreements are governed by those agreements.
The privacy policy covers the company's websites, applications, and APIs.
Compliance
Public compliance or enterprise-governance signals we found for Voyage AI.
SOC 2
HIPAA
Access
How to integrate or build around Voyage AI.
Public API
Yes
Docs
Available
Alternatives
Other tools worth considering alongside Voyage AI.
Enterprise AI platform with models, search, and private deployment options.
Search foundation API platform for reader, embeddings, reranking, and web search workflows.
Developer platform for running, fine-tuning, and deploying open models.
AI infrastructure platform for running, fine-tuning, and training open-source models.
Product Snapshot
Voyage AI is an embeddings and reranking platform from Voyage AI Innovations, Inc. The public product surface focuses on retrieval, RAG, semantic search, and multimodal search workflows.
What You Can Do With It
- Generate text embeddings with the Voyage 4 family and use configurable embedding dimensions.
- Rerank candidate documents after retrieval with the current reranker models.
- Embed mixed-media content with voyage-multimodal-3.5, including text, images, and video.
- Build through the web dashboard, REST APIs, and Python or TypeScript client libraries.
Why It Stands Out
Voyage AI combines text embeddings, multimodal embeddings, rerankers, and batch processing around a retrieval-first product surface.
Tradeoffs To Know
- Pricing is usage-based and varies by model family and endpoint.
- The product is specialized for retrieval and ranking workloads rather than general-purpose chat.
- The public site exposes more detail on models and APIs than on company history.
Sources
- docs.voyageai.com/docs/pricing
- voyageai.com/privacy
- voyageai.com/company
- docs.voyageai.com/docs/embeddings
- docs.voyageai.com/docs/reranker
- blog.voyageai.com/2026/01/15/new-models-and-expanded-availability
- blog.voyageai.com/2026/01/15/voyage-multimodal-3-5
- voyageai.com
- docs.voyageai.com/docs/introduction