Voyage AI
Voyage AI: A cloud API suite for multilingual, multimodal embeddings and document reranking. Ranked #52 of 63 in AI Model APIs by our editors (4.3/10); pricing: Paid; best for embedding and reranking for retrieval systems.
At a glance
- Editor score4.3 / 10
- PricingPaid
- Best forEmbedding and reranking for retrieval systems
- Free planNo
- Paid from$0.02/unit usage-based
- Language modelsNo
- Founded2023
- Facts checked13 Oct 2026
Where it wins
- Text, image, and video embeddings support multimodal retrieval
- Reranking, contextualized chunks, batch processing, and files APIs
- Integrates with major vector databases and AI frameworks
Where it doesn't
- No free plan; usage is billed by token
- Cloud deployment only, with no self-hosted option listed
- Focused on retrieval APIs rather than language-model generation
Our verdict on Voyage AI
Voyage AI provides hosted cloud APIs for turning unstructured data into vectors and ranking query-document relevance. It targets mid-market and enterprise teams building semantic search, retrieval-augmented generation, and related AI applications. The service covers text embeddings, multilingual models, multimodal embeddings for interleaved text, images, and videos, contextualized chunk embeddings, code-oriented models, and reranking. REST endpoints plus official Python and TypeScript libraries support application integration.
Pricing is usage-based, with no free plan. voyage-4-lite costs $0.02 per 1 million tokens for a general-purpose model optimized for latency and cost. voyage-4 is $0.06 per 1 million tokens for general-purpose and multilingual embeddings, while voyage-4-large is $0.12 per 1 million tokens for the highest-quality general-purpose and multilingual embeddings. voyage-multimodal-3.5 costs $0.12 per 1 million text tokens for interleaved text, image, and video embeddings. rerank-3-lite is $0.02 per 1 million tokens, and rerank-3 is $0.05 per 1 million tokens. Published token rates apply after account free-token allowances; multimodal image usage is separately priced by pixels. Batch processing offers discounted bulk processing, and the Files API stores batch inputs and outputs.
Its ecosystem includes DataStax Astra DB, Haystack, LanceDB, LangChain, LlamaIndex, MyScale, Redis, Unstructured, Weaviate, Zilliz, Milvus, Pinecone, and Qdrant. That breadth suits teams connecting retrieval models to established vector databases and orchestration frameworks. Email, community, and documentation channels provide support. Choose Voyage AI when embedding quality, multimodal retrieval, reranking, and vector-database compatibility are priorities. Teams seeking a free tier, self-hosted deployment, or a broader language-model generation platform should consider alternatives.
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Voyage AI pricing
All 6 Voyage AI plans and prices →
Voyage AI fact sheet
| Free plan | No |
|---|---|
| Paid from | $0.02/unit usage-based |
| Language models | No |
| Image generation | No |
| Audio and speech | No |
| Multimodal models | Yes |
| Embedding models | Yes |
| Max context window | 32000 tokens |
| SDK languages | Python, TypeScript |
| Deployment | Cloud |
| Platforms | Web |
| Support | Email, Community, Docs |
| Built for | Mid-market, Enterprise (editorial estimate) |
| Integrations | 13 integrations: DataStax Astra DB, Haystack, LanceDB, LangChain, LlamaIndex, MyScale … See all → |
| Pricing | Paid (source) |
| Website | voyageai.com |
| Facts checked | 13 Oct 2026 |
Voyage AI integrations
Voyage AI lists 13 integrations on its own site.
- DataStax Astra DB
- Haystack
- LanceDB
- LangChain
- LlamaIndex
- MyScale
- Redis
- Unstructured
- Weaviate
- Zilliz
- Milvus
- Pinecone
- Qdrant
See all Voyage AI integrations →
Alternatives to Voyage AI
- OpenAI APIA broad cloud API platform for production applications, agents, voice, search, and code.9.4
- Google Gemini APIA free-entry Gemini API for multimodal prototypes and structured model workflows.9.3
- Qwen API (Alibaba Cloud Model Studio)A very low-cost, broad multimodal API for teams building cloud AI features.9.2
See all Voyage AI alternatives →
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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