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Qwen3 Embedding 8B

Qwen
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Qwen3 8B embedding model for text embedding tasks with a 32,768 token context window.

Providers
Capabilities
DeepInfra
deepinfra-byok
$0
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OVHcloud
ovhcloud-byok
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$0
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API & code

Embeddings API

/api/v1/embeddings

Generate embedding vectors for search, RAG, and clustering.

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Credits
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Run Qwen3 Embedding 8B on your own key — your requests are billed by the provider. Pool callers pay AnyRouter credits.

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Embedding vectors
Vector dimensions4,096
Max input32,768 tokens
Price$0.01 / 1M tokens
Request parameters
inputmodeldimensionsencoding_format
ArchitectureTransformer
Categoryembedding
ReleasedJun 4, 2025
Modalities
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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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