Gemini 3.1 Flash Lite
Google (Gemini)
At a glance
- Price per 1M tokens (input)
- $0.25
- Price per 1M tokens (output)
- $1.50
- Context
- 1,048,576 tokens
- Free access
- yes (see below)
Refreshed daily; data verified August 16, 2026. Published August 12, 2026.
The Gemini model is designed for businesses and organizations that require advanced image understanding and reasoning capabilities. It is particularly suited for tasks that involve analyzing and interpreting visual data, as well as performing step-by-step reasoning to arrive at a solution. The vendor's approach to developing this model focuses on enabling tool calling, which refers to the ability to invoke specific functions or tools to perform tasks, allowing for more efficient and effective problem-solving. This model is also characterized by its ability to break down complex tasks into manageable steps, making it a valuable asset for businesses looking to streamline their operations. By leveraging the Gemini model, organizations can gain valuable insights from their visual data and make more informed decisions.
Specifications & pricing
| Input (per 1M tokens) | $0.25 |
|---|---|
| Output (per 1M tokens) | $1.50 |
| Cache read (per 1M tokens) | $0.025 |
| Context window | 1,048,576 tokens |
| Max output | 65,536 tokens |
| Capabilities | images, tool calling, reasoning |
LiteLLM community dataset (MIT), verified August 16, 2026. Official Google (Gemini) pricing.
What Gemini 3.1 Flash Lite would cost on your workload — run it through the cost calculator →
Where to try Gemini 3.1 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 tasks that require multiple steps to arrive at a solution
How do I get started with the Gemini model+
To get started with the Gemini model, users can begin by reviewing the documentation and guidelines provided by the vendor, which outline the capabilities and limitations of the model, as well as best practices for implementation and use
How does the Gemini model differ from other models in the line+
The Gemini model differs from other models in the line in its focus on image understanding and tool calling, which sets it apart from models that may be more focused on natural language processing or other capabilities
What are the limitations of the Gemini model+
The limitations of the Gemini model include its potential difficulty in handling certain types of visual data, such as low-quality or distorted images, and its reliance on the quality of the data used to train it, which can impact its accuracy and effectiveness
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