// scorecard · 36/100
verified 1mo agoAgent-readiness14/35
Agent registration (api_key)6/9
Public API5/5
OpenAPI spec0/9
MCP server0/9
llms.txt3/3
Reliability & performance0/15
Actively maintained—
Production-ready0/4
Updated recently—
Pricing8/13
Itemized public pricing6/6
Free tier / trial0/4
Free-tier generosity2/3
Docs & DX2/12
Docs quality—
Public API2/2
Quickstart / examples0/2
Security & compliance8/12
SOC 26/6
ISO 270010/2
GDPR0/2
Security / trust page2/2
Openness4/10
Open source0/6
Open / un-gated API4/4
Company maturity0/3
Company size—
Years operating—
// rankings · cost per standard workload
#3 in Rerankers$0.5/ 1k rerank searches
rerank-2.5 $0.05/1M tokens x10M = $0.50/mo (per-token)
docs.voyageai.com/docs/pricing// overview
Voyage AI provides embedding models that convert documents, images, audio, video or tabular data into semantic vectors for search and RAG, plus rerankers that score query-document relevance to refine results from embeddings or lexical search. It exposes API endpoints returning embeddings or relevance scores that integrate with vector stores and LLMs. Models are stated to be state-of-the-art for retrieval accuracy.
Best for: domain-specific or company-specific chatbots and other AI applications
// pricing
voyage-4-large$0.00012 per thousand tokens
- 200M free tokens
voyage-4$0.00006 per thousand tokens
- 200M free tokens
rerank-2.5$0.00005 per thousand tokens
- 200M free tokens
// security & compliance
✓ SOC 2✗ ISO 27001✗ GDPR✗ HIPAA
// features
- Text Embeddings
- Multimodal Embeddings
- Rerankers
- Contextualized Chunk Embeddings
- Batch Inference
- Flexible Dimensions and Quantization