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Google: Gemini Embedding 001

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

Source-linked gemini Closed weights Released 2025-05-20
API record Report
InputT
OutputT
Input price$0.15/M
Output priceNot listed
Context2.048K
Max output1
Providers5
Inference availability

Providers

Provider-specific identifiers, limits, and listed prices per million tokens. Every row links back to the provider's own documentation.

Report a price
Providers offering Gemini Embedding 001
ProviderProvider model IDContextMax outputInputOutputCache readCapabilitiesDocs
Vercel AI Gateway google/gemini-embedding-001 8.192K 1.536K Not listed Docs ↗
SAP AI Core gemini-embedding 2.048K 1 Not listed Docs ↗
Vertex gemini-embedding-001 2.048K 1 $0.15 Not listed Docs ↗
Merge Gateway google/gemini-embedding-001 2.048K 4.096K $0.15 Not listed Docs ↗
Google gemini-embedding-001 2.048K 1 $0.15 Not listed Docs ↗

Capability badges appear only where the provider catalog explicitly lists support. A blank cell means the source is silent, not that the feature is absent.

Listed rates

Price across providers

Input price per million tokens as published by each provider. Bars are drawn from listed rates only — no traffic weighting, since the catalog observes no requests.

Lowest input $0.15/M

Across 3 priced providers

Median input $0.15/M

Midpoint of listed rates

Highest input $0.15/M

Same as the lowest listed rate

Vertex $0.15/M
Merge Gateway $0.15/M
Google $0.15/M
Cost calculator

Estimate a workload

$0.00
Excludes taxes, non-token charges, and tiered discounts.

3 providers list the identical $0.15 input rate, so price alone will not separate them — compare context limits, max output, and capabilities above.

Context limits also differ by provider, from 2.048K to 8.192K tokens. Compare the provider table above before choosing on price alone.

Specification

Capabilities

Recorded from the source catalog and provider listings.

× Reasoning No
× Tool calling No
? Structured output Unknown
× Attachments No
× Vision input No
× Open weights No
Creator
Google
Model family
gemini
Knowledge cutoff
2025-05
License
Not documented
Release date
2025-05-20
Model ID
google/gemini-embedding-001
Published evaluations

Benchmarks

Every result stays attached to its source, version, metric and harness. Scores from different versions are never merged, and the profile below plots each benchmark against its own population rather than on a shared scale.

Benchmark registry
No published benchmark results

ModelBench does not infer quality from price, context size, or model name. When a source publishes a comparable result, it appears here with its version and link.

Read the methodology
Catalog activity

Change log

Field-level changes detected between successful source imports.

Full change log
No changes recorded

This record has not changed within the retained import history.

Public API

Use this record

Fetch the complete source-linked model record. No key, no account, no rate-limited tier.

API documentation
Endpoint
GET https://model.kyssta.lol/api/v1/models/google/gemini-embedding-001
curl
curl "https://model.kyssta.lol/api/v1/models/google/gemini-embedding-001"
Common questions

Frequently asked questions

Answered directly from the stored record — nothing here is generated beyond the catalog's own fields.

What is Gemini Embedding 001?

Embedding model for semantic search, retrieval, clustering, and ranking pipelines. It is published by Google and catalogued here from Models.dev.

How much does Gemini Embedding 001 cost?

Listed input pricing starts at $0.15 per million tokens from Vertex.

What is the context length of Gemini Embedding 001?

Gemini Embedding 001 accepts up to 2.048K tokens of context and returns up to 1 output tokens.

Which providers serve Gemini Embedding 001?

5 providers list this model: Vercel AI Gateway, SAP AI Core, Vertex, Merge Gateway, Google.

Are the weights for Gemini Embedding 001 open?

No. This model is served through hosted APIs only.

When was Gemini Embedding 001 released?

The catalog records a release date of 2025-05-20, last verified Sep 11, 2026.

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