Gemini 2.0 Flash Lite
Google (Gemini)
At a glance
- Price per 1M tokens (input)
- $0.075
- Price per 1M tokens (output)
- $0.30
- Context
- 1,048,576 tokens
- Free access
- yes (see below)
Refreshed daily; data verified August 15, 2026. Published August 12, 2026.
The Gemini 2.0 Flash Lite model is designed for businesses and developers who require a robust image understanding and tool calling capability. Tool calling refers to the ability of the model to invoke specific functions or tools to perform tasks, such as image analysis or data processing. This model is well-suited for tasks that involve visual data, such as image classification, object detection, and image segmentation. The vendor's approach to model development focuses on creating efficient and scalable models that can be easily integrated into existing workflows. By leveraging the strengths of both image understanding and tool calling, the Gemini 2.0 Flash Lite model provides a powerful tool for businesses looking to automate and enhance their visual data processing capabilities.
Specifications & pricing
| Input (per 1M tokens) | $0.075 |
|---|---|
| Output (per 1M tokens) | $0.30 |
| Cache read (per 1M tokens) | $0.019 |
| Context window | 1,048,576 tokens |
| Max output | 8,192 tokens |
| Capabilities | images, tool calling |
LiteLLM community dataset (MIT), verified August 15, 2026. Official Google (Gemini) pricing.
What Gemini 2.0 Flash Lite would cost on your workload — run it through the cost calculator →
Where to try Gemini 2.0 Flash Lite for free
- Google (Gemini) offers a free chat — Gemini (free plan). A vendor's free chat may run a different model from the same family — the exact model is not guaranteed.
- 🎁 On our promo-codes page: Gemini for free: access and discounts.
Frequently asked questions
What is the Gemini 2.0 Flash Lite model good for+
The Gemini 2.0 Flash Lite model is good for tasks that involve visual data, such as image classification, object detection, and image segmentation, and can be used to automate and enhance visual data processing capabilities
How do I get started with the Gemini 2.0 Flash Lite model+
To get started with the Gemini 2.0 Flash Lite model, you will need to integrate it into your existing workflow, which may involve setting up an application programming interface and configuring the model to invoke specific tools or functions
How does the Gemini 2.0 Flash Lite model differ from other models in the line+
The Gemini 2.0 Flash Lite model differs from other models in the line in its focus on image understanding and tool calling, and its ability to efficiently process visual data and invoke specific functions or tools to perform tasks
What are the limitations of the Gemini 2.0 Flash Lite model+
The limitations of the Gemini 2.0 Flash Lite model include its dependence on the quality and relevance of the visual data it is trained on, and its potential for bias if the training data is not diverse or representative
Compare with others
Org chart: how to move your company onto AI
A practical map: which company roles and processes AI agents can take over, where to start, and in what order to roll it out.