Qwen3 Reranker 4B is the mid-size text reranking model in the Qwen3 Reranker series, between the 0.6B and 8B models. Built on the Qwen3 architecture, it evaluates query-document pairs to produce relevance scores for retrieval and RAG pipelines, supports 100+ languages and follows task instructions that customize the scoring criteria.
$0.0125
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 Reranker 4B is the mid-size text reranking model in the Qwen3 Reranker series, between the 0.6B and 8B models.
On NagaAI, Qwen3 Reranker 4B costs $0.0125 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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Not enough activity data to display a chart
