qwen3-rerank is a text ranking model trained on the Qwen LLM foundation that ranks candidate documents by relevance to a query. It supports over 100 languages and long-text inputs, and is suited to text retrieval and RAG. Its performance is aligned with the open-source Qwen3-Reranker series.
$0.0345
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.
qwen3-rerank is a text ranking model trained on the Qwen LLM foundation that ranks candidate documents by relevance to a query. It supports over 100 languages and long-text inputs, and is suited to text retrieval and RAG. Its performance is aligned with the open-source Qwen3-Reranker series.
On NagaAI, Qwen3 Rerank costs $0.0345 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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