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Gemini 2.0 Flash-Lite
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Gemini 2.0 Flash-Lite is our fastest and most cost efficient
Flash model. It's an upgrade path for 1.5 Flash users who want better quality
for the same price and speed.
Try in Vertex AI View model card in Model Garden (Preview) Deploy example app
Note: To use the "Deploy example app" feature, you need a Google Cloud project with billing and Vertex AI API enabled.
Property
Description
badge Model ID
gemini-2.0-flash-lite
save Supported inputs & outputs
Inputs
Text ,
Code ,
Images ,
Audio ,
Video
generating_tokens Token limits
Maximum input tokens
1,048,576
Maximum output tokens
8,192
construction Capabilities
rocket_launch Usage types
settings Technical specifications
Images
Documents
Video
Audio
Parameter defaults
Temperature: 0-2
topP: 0.95
topK: 64
candidateCount: 1-8
calendar_month Knowledge cutoff date
June 2024
123 Versions
gemini-2.0-flash-lite-001
Launch stage: Generally available
Release date: February 25, 2025
Discontinuation date: February 25, 2026
language Supported regions
Model availability
(Includes dynamic shared quota & Provisioned Throughput)
United States
us-central1
us-east1
us-east4
us-east5
us-south1
us-west1
us-west4
Europe
europe-central2
europe-north1
europe-southwest1
europe-west1
europe-west4
europe-west8
europe-west9
ML processing
See Data residency for more information.
security Security controls
Online prediction
Data residency (at rest)
Supported
Customer-managed encryption keys (CMEK)
Supported
VPC Service Controls
Supported
Access Transparency (AXT)
Supported
Batch prediction
Data residency (at rest)
Supported
Customer-managed encryption keys (CMEK)
Not supported
VPC Service Controls
Supported
Access Transparency (AXT)
Not supported
Tuning
Data residency (at rest)
Not supported
Customer-managed encryption keys (CMEK)
Not supported
VPC Service Controls
Not supported
Access Transparency (AXT)
Not supported
See Security controls for more information.
sell Pricing
See Pricing .
Get started with Gemini 2.0 Flash-Lite
You can try Gemini 2.0 Flash-Lite in the Google Cloud console, or run our sample application:
Try in Vertex AI (Preview) Deploy example app
Note: To use the "Deploy example app" feature, you need a Google Cloud project with billing and Vertex AI API enabled.
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Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License , and code samples are licensed under the Apache 2.0 License . For details, see the Google Developers Site Policies . Java is a registered trademark of Oracle and/or its affiliates.
Last updated 2025-04-12 UTC.
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