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google/gemini-embedding-001

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.

Cache key/models/google--gemini-embedding-001
Cache-Controlpublic, max-age=300, stale-while-revalidate=3600
Cache-Tagcatalogmodel:google--gemini-embedding-001

Workers 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.

Gemini
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

No cart or checkout in this MVP — pick a provider below and open their docs when you're ready to use it.

Capabilities & modalities
Reasoning
Tool calling
Structured output
Attachments
InputText
OutputText
Provider shelf
Where to get Gemini Embedding 001

Sorted by lowest input price

ProviderInput / 1MOutput / 1MContext

Google

gemini-embedding-001

$0.15Free2.0KDocs

Vercel AI Gateway

google/gemini-embedding-001

QuoteQuote8.2KDocs
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