rerank-3-lite
Model Information
| Slug | rerank-3-lite |
|---|---|
| LLMs.txt | View |
| Release Date | September 30, 2026 New |
Organization
| Name | VoyageAI by MongoDB |
|---|
Model Description
rerank-3-lite is a reranker optimized for both latency and quality and a drop-in upgrade to rerank-2.5-lite, improving on it by 0.94% NDCG@10 on average across domain evaluations and by 1.86% on long-document evaluations, with code retrieval gains of 2.77% atop voyage-3-large and 2.59% atop voyage-4-large. It matches the retrieval quality of rerank-2.5, and across 93 retrieval datasets it outperforms Cohere Rerank v4.0 Pro by 1.44% and Qwen3-Reranker-8B by 2.61%. The model supports a combined context length of 32K tokens per query-document pair, including up to 8K tokens for the query, enabling more accurate retrieval over longer documents. Additionally, rerank-3-lite supports instruction following, allowing users to guide relevance scoring through natural language prompts. Learn more about rerank-3-lite here: [blog.voyageai.com/2026/09/30/rerank-3](https://blog.voyageai.com/2026/09/30/rerank-3/?utm_source=OpenRouter&utm_medium=referral)
Available at 1 Provider
| Provider | Type | Model Name | Original Model | Input ($/1M) | Output ($/1M) | Free | Actions | |
|---|---|---|---|---|---|---|---|---|
|
OpenRouter |
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Code
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rerank-3-lite
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voyageai/rerank-3-lite
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$0.00 | $0.00 |