rerank-3
Model Information
| Slug | rerank-3 |
|---|---|
| LLMs.txt | View |
| Release Date | September 30, 2026 New |
Organization
| Name | VoyageAI by MongoDB |
|---|
Model Description
rerank-3 is a reranker optimized for quality and a drop-in upgrade to rerank-2.5, improving on it by 0.80% NDCG@10 on average across domain evaluations and by 3.35% on long-document evaluations, with code retrieval gains of 2.01% atop voyage-3-large and 1.96% atop voyage-4-large. Across 93 retrieval datasets it outperforms Cohere Rerank v4.0 Pro by 2.14% and Qwen3-Reranker-8B by 3.31%. 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 supports instruction following, allowing users to guide relevance scoring through natural language prompts. Learn more about rerank-3 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 |
Chat
Code
|
rerank-3
|
voyageai/rerank-3
|
$0.00 | $0.00 |