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Qwen: Qwen3 Embedding 0.6B

qwen/qwen3-embedding-0.6b

Model weights

The Qwen3 Embedding model series is the latest proprietary model of the Qwen family, specifically designed for text embedding and ranking tasks. This series inherits the exceptional multilingual capabilities, long-text understanding, and reasoning skills of its foundational model. The Qwen3 Embedding series represents significant advancements in multiple text embedding and ranking tasks, including text retrieval, code retrieval, text classification, text clustering, and bitext mining.

Modalities

Context

8K

Released

Nov 5, 2025

About Qwen: Qwen3 Embedding 0.6B

OpenRouter makes Qwen: Qwen3 Embedding 0.6B available through a unified, OpenAI-compatible API using the model ID qwen/qwen3-embedding-0.6b.

Qwen: Qwen3 Embedding 0.6B accepts text and returns embedding vectors. It has a 8,192-token context window.

It was released on November 5, 2025.

More models from Qwen

  • Qwen3.8 27B
  • Qwen3 Reranker 8B
  • Qwen3 ASR 1.7B

Frequently asked questions

The Qwen3 Embedding model series is the latest proprietary model of the Qwen family, specifically designed for text embedding and ranking tasks. This series inherits the exceptional multilingual capabilities, long-text understanding, and reasoning skills of its foundational model.

Qwen3 Embedding 0.6B accepts up to 8,192 tokens per input. Longer text has to be split into multiple inputs.

Qwen3 Embedding 0.6B accepts text as input and returns embedding vectors.

Qwen3 Embedding 8B and Qwen3 Embedding 4B are other embedding models from Qwen.

Qwen3 Embedding 0.6B was released on November 5, 2025.

ActivityFAQ

Activity

Token volume and request traffic to this model over time.