rerank-3 and rerank-3-lite: the next generation of Voyage rerankers
Blog post from Voyage AI
Voyage has introduced rerank-3 and rerank-3-lite, updated reranking models designed to reorder search candidates more accurately in retrieval pipelines, particularly for long documents and code-related queries. The models retain the prior Rerank 2.5 series’ API compatibility, 32K-token context window, instruction-following support, calibrated scoring behavior, and pricing, enabling existing users to upgrade without code changes. Across 95 datasets spanning nine domains and four first-stage retrieval methods, Voyage reports that rerank-3 and rerank-3-lite outperform their predecessors and several competing rerankers, including Cohere Rerank v4.0 Pro and Qwen3-Reranker-8B, with particularly large reported gains on long-document retrieval. Rerank-3-lite is positioned as a lower-latency option that approximately matches rerank-2.5’s quality at 40% of its price, while both new models cost the same as their corresponding 2.5 versions, at $0.05 and $0.02 per million tokens respectively. The models are available through Voyage’s API and MongoDB Atlas integrations, while the older Rerank 2.5 series remains available for current users.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| Vector Search | 7 | 265 | 57 | 33 | -89% |
| Jev | 4 | No monthly metrics for this publish month. | |||
| LLM | 1 | 747 | 162 | 79 | -85% |
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