qwen3-embedding-4b · Qwen
The Qwen3 Embedding model series is the latest proprietary model family from Qwen, specifically designed for text embedding and ranking tasks. Based on the dense base models of the Qwen3 series, it offers comprehensive text embedding and reranking models in various sizes (0.6B, 4B, and 8B). This series inherits the excellent multilingual capabilities, long-text understanding, and reasoning skills of its base models. The Qwen3 Embedding series demonstrates significant advancements in various text embedding and ranking tasks, including text retrieval, code retrieval, text classification, text clustering, and bilingual text mining.
The Qwen3 Embedding model series is the latest proprietary model family from Qwen, specifically designed for text embedding and ranking tasks. Based on the dense base models of the Qwen3 series, it offers comprehensive text embedding and reranking models in various sizes (0.6B, 4B, and 8B). This series inherits the excellent multilingual capabilities, long-text understanding, and reasoning skills of its base models. The Qwen3 Embedding series demonstrates significant advancements in various text embedding and ranking tasks, including text retrieval, code retrieval, text classification, text clustering, and bilingual text mining.
On AIHubMix, Qwen3 Embedding 4B costs $0.068 per million input tokens and $0.068 per million output tokens.
Qwen3 Embedding 4B accepts text input.
Qwen3 Embedding 4B 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-embedding-4b — no other code changes needed.
Qwen3 Embedding 4B is developed by Qwen. AIHubMix aggregates it alongside models from other providers behind one API and one bill.
Qwen3 Embedding 4B was released on January 1, 2025 by Qwen.
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Use Qwen3 Embedding 4B via the AIHubMix unified API — one interface for every major LLM.