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. Across 93 retrieval datasets it outperforms Cohere Rerank v4.0 Pro by 2.14% and Qwen3-Reranker-8B by 3.31%. It supports a combined context length of 32K tokens per query-document pair, including up to 8K tokens for the query, and follows instructions that guide relevance scoring.
$0.025
How long a request takes over every route we serve it from: from sending it to the complete result.
Share of requests served without a server error. Client errors (4xx) do not count.
No optional parameters beyond the standard request.
Works with the OpenAI SDK pointed at our base URL. Every parameter is in the API reference.
Tokens reranked per day on NagaAI.
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. Across 93 retrieval datasets it outperforms Cohere Rerank v4.0 Pro by 2.14% and Qwen3-Reranker-8B by 3.31%.
On NagaAI, Rerank 3 costs $0.025 per 1M tokens. You pay only for what you use, with no subscription.
It takes text as input and returns rerank.
Create an API key, copy the model ID from the top of this page and send requests with the OpenAI SDK pointed at NagaAI. The API section on this page has a ready example.
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