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Qwen3 Embedding 4B

Qwen
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Qwen3 Embedding 4B is the 4B size in the Qwen3 embedding and reranking family, between the 0.6B and 8B cuts. It embeds text over a 32,768-token window at 2,560 dimensions, supports 100+ languages, is instruction-aware for task prefixes, and supports Matryoshka truncation from 32 to 2,560 dimensions. It ranks below the 8B cut on MTEB multilingual but well above the 0.6B cut, at a much lower cost.

Providers
Capabilities
OpenRouter
openrouter-byok
$0
$0
Unavailable
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API & code

Embeddings API

/api/v1/embeddings

Generate embedding vectors for search, RAG, and clustering.

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Qwen3 Embedding 4B share card
Qwen3 Embedding 4B
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Credits
Use your own key

Run Qwen3 Embedding 4B on your own key — your requests are billed by the provider. Pool callers pay AnyRouter credits.

No BYOK keys configured for this model yet.

Share a key with the pool to earn credits for every request it serves, covering your plan cost.

Embedding vectors
Vector dimensions2,560
Max input32,768 tokens
Price$0.02 / 1M tokens
Request parameters
inputmodeldimensionsencoding_format
ArchitectureTransformer
Categoryembedding
ReleasedOct 28, 2025
Modalities
→
Capabilities
Embeddings are fixed-length vectors — compare them with cosine similarity for semantic search, RAG retrieval, clustering, and deduplication. Embed queries and documents with the same model, or the distances are meaningless.
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