google/gemini-embedding-001
Embedding model for semantic search, retrieval, clustering, and ranking pipelines
This model's cache
This model page returns the exact headers below. The page and /api/models/google--gemini-embedding-001 share the model:google--gemini-embedding-001 tag, so invalidation stays scoped to this model.
/models/google--gemini-embedding-001public, max-age=300, stale-while-revalidate=3600catalogmodel:google--gemini-embedding-001Workers Cache derives the key from this path/query, plus the Worker entrypoint and current Worker version.
export const Route = createFileRoute('/models/$modelSlug')({
headers: () => ({
'Cache-Control': 'public, max-age=300, stale-while-revalidate=3600',
'Cache-Tag': 'catalog,model:google--gemini-embedding-001',
}),
})Invalidate this cache tag
await ctx.cache.purge({ tags: ['model:google--gemini-embedding-001'] })Use this when one model changes and you do not want to evict the whole catalog.
- Released
- May 20, 2025
- Last updated
- May 20, 2025
- Context window
- 2.0K tokens
- Max output
- 1 tokens
- Open weights
- No
- Family
- Gemini
Starts at
$0.15
per 1M input tokens
Output
Free
Sellers
2
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