Gemini 2.5 Flash Lite
Google (Gemini)
At a glance
- Price per 1M tokens (input)
- $0.10
- Price per 1M tokens (output)
- $0.40
- Context
- 1,048,576 tokens
- Free access
- yes (see below)
Refreshed daily; data verified August 15, 2026. Published August 12, 2026.
The Gemini model is designed for businesses and organizations that require advanced image understanding and reasoning capabilities. It is well-suited for tasks that involve analyzing and interpreting visual data, as well as performing step-by-step reasoning to arrive at a conclusion. The vendor's approach to model development emphasizes the importance of tool calling, which refers to the ability of the model to call upon external functions or tools to enhance its capabilities. This allows the model to leverage a wide range of expertise and resources, making it a versatile and powerful tool for a variety of applications. By combining image understanding and tool calling, the Gemini model provides a unique and effective solution for businesses looking to automate complex tasks.
Specifications & pricing
| Input (per 1M tokens) | $0.10 |
|---|---|
| Output (per 1M tokens) | $0.40 |
| Cache read (per 1M tokens) | $0.01 |
| Context window | 1,048,576 tokens |
| Max output | 65,535 tokens |
| Capabilities | images, tool calling, reasoning |
LiteLLM community dataset (MIT), verified August 15, 2026. Official Google (Gemini) pricing.
What Gemini 2.5 Flash Lite would cost on your workload — run it through the cost calculator →
Where to try Gemini 2.5 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 model good for+
The Gemini model is good for tasks that involve image understanding and step-by-step reasoning, such as analyzing and interpreting visual data, and performing complex decision-making processes
How do I get started with the Gemini model+
To get started with the Gemini model, users can begin by reviewing the model's documentation and guidelines, and then experimenting with the model's capabilities using sample data and use cases
How does the Gemini model differ from other models in the line+
The Gemini model differs from other models in the line in its emphasis on image understanding and tool calling, which allows it to perform a unique range of tasks and provide a distinct set of capabilities
What are the limitations of the Gemini model+
The limitations of the Gemini model include its reliance on high-quality input data, and its potential vulnerability to bias and errors in the data or tools it uses
Comparisons
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.