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EmbeddingGemma 300MDisabled since Aug 12, 2026

Smoke reported model_unavailable (no upstream for platform keys). See #1799/#1806.

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EmbeddingGemma is a 300M parameter open embedding model from Google, built from Gemma 3 research. Produces text vectors for search, retrieval, classification, clustering, and semantic similarity across 100+ languages.

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cloudflare
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$0.01
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API & code

Embeddings API

/api/v1/embeddings

Generate embedding vectors for search, RAG, and clustering.

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EmbeddingGemma 300M
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Credits
Embedding vectors
Vector dimensions768
Max input2,048 tokens
Price$0.012 / 1M tokens
Request parameters
inputmodelencoding_format
ArchitectureTransformer
Categoryembedding
ReleasedSep 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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