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Models / Google / Gemini Embedding 001

Google · gemini

Gemini Embedding 001

Embedding model for semantic search, retrieval, clustering, and ranking pipelines

$0.15 in · $0 out

per 1M tokens · first-party price. Reference price from Google, the lab's own listing.

Context
2,048
Max output
1
Cache read
—
Cache write
—
Reasoning
No
Tool calls
No
Structured output
Unknown
Vision
No
Open weights
No
License
—
Released
May 20, 2025
Updated in source
May 20, 2025
Knowledge
2025-05
Providers
6

What this model costs per month

Prices are USD per 1M tokens. A month is 30 days. Cache hits use the cache-read rate when the model has one; otherwise the cache field is ignored.

Estimated monthly cost

Gemini Embedding 001

$0.90

Cache hit is ignored because this model has no cache-read price.

monthly = requests/day × 30 × (input tokens × (1 − cache hit) × input price + input tokens × cache hit × cache-read price + output tokens × output price) ÷ 1,000,000

Providers

Base rates from Models.dev. One row per provider.
ProviderInputOutputCache readCache writeStatus
Googlereference$0.15$0———
Merge Gateway$0.15$0———
Tempr Gateway$0.15$0———
Vertex$0.15$0———
SAP AI Core—————
Vercel AI Gateway—————