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Gemini Embedding 001

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

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Context
8,192
Max output
4,096
Input / 1M
$0.15
Output / 1M
Not listed
Providers
4
01Profile

Profile

Released
2025-05-20
Last updated
2025-05-20
Knowledge cutoff
2025-05
Weights
Closed
02Capabilities

Capabilities

Input
text
Output
text
Reasoning
No
Tool calling
No
Structured output
No
Attachments
No
Cache read
Not listed
Cache write
Not listed
03Pricing

Pricing across 3 providers

Per 1M tokens, USD. Sorted by input price. First-party row highlighted.

ProviderProvider model idInputOutputCache readContext
googlefirst-partygemini-embedding-001$0.15Not listedNot listed2,048
google-vertexgemini-embedding-001$0.15Not listedNot listed2,048
merge-gatewaygoogle/gemini-embedding-001$0.15Not listedNot listed2,048
vercelgoogle/gemini-embedding-001Not listedNot listedNot listed8,192
04History

Change history

12+ recent events since 2025-05-20

2026-07-29Addedmerge-gatewayoffering→ new
2026-06-06Price upvercelinput / 1M$0.15→ new
2026-06-06Price upverceloutput / 1MNot listed→ new
2026-06-03Price upgoogle-vertexinput / 1M→ $0.15
2026-06-03Price upgoogle-vertexoutput / 1M→ Not listed
2026-05-19ContextgoogleMax output3,072→ 1
2026-04-17Price upgoogle-vertexinput / 1M$0.15→ new
2026-04-17Price upgoogle-vertexoutput / 1MNot listed→ new
2026-04-17Contextgoogle-vertexContext window2,048→ new
2026-04-17Contextgoogle-vertexMax output3,072→ new
2026-01-10Addedverceloffering→ new
2025-10-22Price upgoogleoutput / 1M→ Not listed
as of 2026-09-16
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