Back to gemini-flash-lite
Google DeepMind /

Nano Banana 2 Lite
Nano Banana 2 Lite

API OnlyImage GentextimageUpdated June 30, 2026
Some details or benchmark scores on this page are self-reported by developers and unconfirmed.

Nano Banana 2 Lite

📌 Model Overview

Fastest, most cost-efficient Gemini image model for high-volume 1K generation and editing

Nano Banana 2 Lite is a Api Only model developed by Google DeepMind, released on 2026-06-30. It is designed primarily for Image Generation workloads. Featuring a 66K tokens context window and Undisclosed parameter count, it offers robust performance for enterprise integration, developers, and researchers.


✨ Key Features & Capabilities

Specification Table
FeatureDescription
Context Window66K tokens capacity for extended prompts and multi-turn workflows
Primary TaskOptimized for Image Generation
Deploymentapi-only
Modalitytext, image
Max OutputMax Output: 4K tokens
Native reasoning capabilityNative reasoning capability
Tool / function calling supportTool / function calling support

⚙️ Technical Specifications

Specification Table
SpecificationDetails
Developer / LabGoogle DeepMind
Release Date2026-06-30
Model TypeApi Only
ParametersUndisclosed
Context Window66K tokens
LicenseProprietary
Model Familygemini-flash-lite

💰 Pricing

Specification Table
Tier / UnitRate (USD)
1M input tokens$0.25
1M output tokens$1.5
1M cache read tokens$0.03

📜 License & Usage

This model is governed by the Proprietary license. Please check official developer guidelines before commercial deployment.

Key Features

Max Output: 4K tokens

Feature 01

Native reasoning capability

Feature 02

Tool / function calling support

Feature 03

You might also want to compare

Verified Sources

Tags

reasoningtool-calling

Model Specs

api-only

Parameters

Undisclosed

Context Window

66K tokens

License

Proprietary

Deployment

api-only

Pricing

  • 1M input tokens$0.25
  • 1M output tokens$1.5
  • 1M cache read tokens$0.03

as of 2026-07-26

Lineage

Curator Notes

Skeleton entry imported from models.dev backfill (2026-07-26). Needs manual enrichment and primary-source verification.

Compare Specs

Compare parameters, context windows, modalities, and benchmark scores of this model side-by-side with others.

Compare Model