Voyage AI Release notes and new features

rerank-3 and rerank-3-lite: the next generation of Voyage rerankers

Voyage AI introduced the Rerank 3 series, offering improved retrieval performance on long documents and code compared to previous versions. The models maintain a 32K token context length and instruction-following capabilities.

voyage-code-4: code retrieval built for coding agents

Voyage AI has launched voyage-code-4, a next-generation code embedding model designed for coding agents. The model is priced at $0.12 per 1M tokens and outperforms voyage-code-3 on agentic code retrieval benchmarks.

voyage-context-4: stop worrying about chunking with our best-performing model

Voyage AI has released voyage-context-4, a contextualized chunk embedding model that features auto-chunking and handles documents longer than 32K tokens.

voyage-multimodal-3.5: a new multimodal retrieval frontier with video support

The voyage-multimodal-3.5 model adds support for embedding video frames alongside text and images. It also supports Matryoshka embeddings for flexible dimensionality.

• voyage-multimodal-3.5: a new multimodal retrieval frontier with video supportGA
• Announcing New Models and Expanded AvailabilityGA
• The Voyage 4 model family: shared embedding space with MoE architectureGA

Introducing the Batch API: Simpler and more efficient for large-scale workloads

The new Batch API is an asynchronous endpoint for processing large volumes of requests. It offers higher throughput, a 12-hour completion window, and 33% cost savings compared to synchronous alternatives.