by 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.
qwen3-reranker-0.6b has a 16,000 token context window.
On AIHubMix, qwen3-reranker-0.6b costs $0.11 per million input tokens and $0.11 per million output tokens.
qwen3-reranker-0.6b accepts text and image input.
qwen3-reranker-0.6b 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 qwen3-reranker-0.6b — no other code changes needed.
qwen3-reranker-0.6b is developed by Qwen. AIHubMix aggregates it alongside models from other providers behind one API and one bill.
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Use qwen3-reranker-0.6b via the AIHubMix unified API — one interface for every major LLM.