bce-reranker-base · Qwen
Based on the dense foundational model of the Qwen3 series, it is specifically designed for ranking tasks. It inherits the base model’s outstanding multilingual capabilities, long-text understanding, and reasoning skills, achieving significant advancements in ranking tasks.
Based on the dense foundational model of the Qwen3 series, it is specifically designed for ranking tasks. It inherits the base model’s outstanding multilingual capabilities, long-text understanding, and reasoning skills, achieving significant advancements in ranking tasks.
On AIHubMix, Bce Reranker Base costs $0.068 per million input tokens.
Bce Reranker Base accepts text and image input.
Bce Reranker Base is available through the AIHubMix unified API. The API is OpenAI-compatible: point your OpenAI SDK at https://aihubmix.com/v1, use your AIHubMix API key, and set the model name to bce-reranker-base — no other code changes needed.
Bce Reranker Base is developed by Qwen. AIHubMix aggregates it alongside models from other providers behind one API and one bill.
Qwen3.8 Omni Flash is Alibaba Cloud Qwen's next-generation native multimodal model…
Alibaba Cloud has launched the decision model decision-model-preview. This structured…
Qwen3.8-27b is an Alibaba-released dense vision-language model with open-source weights…
Qwen3.8-Max-0902 (also known as qwen3.8-max-2026-09-02) is a snapshot version of Alibaba…
Qwen3.8 Flash is Alibaba Cloud Qwen’s flagship native vision-language model for coding…
Wan 3.0 (Tongyi Wanxiang 3.0) is an integrated video generation and editing model…
Use Bce Reranker Base via the AIHubMix unified API — one interface for every major LLM.