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Gemini 3.5 Flash Lite

Google (Gemini)

At a glance

Price per 1M tokens (input)
$0.30
Price per 1M tokens (output)
$2.50
Context
1,048,576 tokens
Free access
yes (see below)

Refreshed daily; data verified August 16, 2026. Published August 9, 2026.

The Gemini 3.5 Flash Lite model is designed for businesses and organizations that require advanced image understanding and step-by-step reasoning capabilities. This model is well-suited for tasks such as image analysis, object detection, and automated decision-making. What sets the vendor's approach apart is the integration of tool calling, which allows the model to leverage external functions and expand its capabilities. By combining these features, the Gemini 3.5 Flash Lite model provides a powerful tool for businesses to automate complex tasks and improve their operations. The vendor's approach focuses on providing a flexible and adaptable model that can be fine-tuned to meet the specific needs of each organization.

Specifications & pricing

Input (per 1M tokens)$0.30
Output (per 1M tokens)$2.50
Cache read (per 1M tokens)$0.03
Context window1,048,576 tokens
Max output65,536 tokens
Capabilitiesimages, tool calling, reasoning

LiteLLM community dataset (MIT), verified August 16, 2026. Official Google (Gemini) pricing.

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Frequently asked questions

What is the Gemini 3.5 Flash Lite model good for+

The Gemini 3.5 Flash Lite model is good for tasks that require advanced image understanding and step-by-step reasoning, such as image analysis and object detection

How do I get started with the Gemini 3.5 Flash Lite model+

To get started with the Gemini 3.5 Flash Lite model, users can begin by reviewing the model's documentation and tutorials, which provide guidance on how to integrate the model into their existing workflows and applications

How does the Gemini 3.5 Flash Lite model differ from other models in the Gemini line+

The Gemini 3.5 Flash Lite model differs from other models in the Gemini line in its emphasis on image understanding and tool calling, which allows it to leverage external functions and expand its capabilities

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