Voyage AI
Listed at https://voyageai.com
Overall Rank #22 ⭐ Consider
⚠️ Partial (site accessible from China, API stability in mainland China unverified) | 🌍 International
💰 Token Pricing
| Type | Price | Note |
|---|---|---|
| Input | voyage-4-large: $0.12/M, voyage-4: $0.06/M, voyage-4-lite: $0.02/M, voyage-context-3: $0.18/M, voyage-code-3: $0.18/M, voyage-multimodal-3.5: $0.12/M | per million tokens |
| Output | （embedding API — no output tokens; rerank-2.5: $0.05/M tokens, rerank-2.5-lite: $0.02/M tokens） | per million tokens |
💡 Free Credits: 200M free tokens per account (text embedding + reranker), 50M free tokens for legacy domain models
🤖 Supported Models (8)
voyage-4-largevoyage-4voyage-4-litevoyage-context-3voyage-code-3voyage-multimodal-3.5rerank-2.5rerank-2.5-lite
✨ Pros
- ✓voyage-4 series surpasses OpenAI v3 Large by 14%, Cohere Embed v4 by 8%, Gemini Embedding 001 by 4% on RTEB benchmark
- ✓MoE architecture: voyage-4-large is the first production-grade MoE embedding model
- ✓32K context window (vs OpenAI's 8K, Cohere's 512)
- ✓Matryoshka flexible dimensions: 2048/1024/512/256 dims for vector DB cost optimization
- ✓200M free tokens on signup (embeddings + rerankers)
- ✓Domain-specific models: voyage-code-3, voyage-finance-2, voyage-law-2
- ✓Joined MongoDB team (March 2025) — backed by a major database vendor
⚠️ Cons
- ×API not OpenAI-compatible (different schema, requires input_type param)
- ×No chat completions endpoint (only embedding + rerank + multimodal)
- ×China access stability not officially documented
- ×No public affiliate program
- ×Focused on embedding/rerank, no general chat models
🎯 Best For
RAG systems, vector retrieval, document embeddings, code search, multimodal (text+image) retrieval; enterprise search apps needing high-accuracy embeddings