Gemini 3.7 Flash
Google (Gemini)
At a glance
- Price per 1M tokens (input)
- $0.75
- Price per 1M tokens (output)
- $3.75
- Context
- 1,048,576 tokens
- Free access
- yes (see below)
Refreshed daily; data verified August 15, 2026. Published August 15, 2026.
The Gemini model is designed for businesses and organizations that require advanced image understanding and step-by-step reasoning capabilities. This model suits tasks that involve analyzing and interpreting visual data, as well as executing complex functions through tool calling, which refers to the ability to call external functions or APIs to perform specific tasks. The vendor's approach distinguishes itself by providing a robust and flexible framework for integrating image understanding with other AI capabilities. By leveraging this model, businesses can automate tasks, gain insights from visual data, and improve decision-making processes. The Gemini model's capabilities make it a valuable tool for a wide range of applications, from quality control to medical diagnosis.
Specifications & pricing
| Input (per 1M tokens) | $0.75 |
|---|---|
| Output (per 1M tokens) | $3.75 |
| Cache read (per 1M tokens) | $0.075 |
| Context window | 1,048,576 tokens |
| Max output | 65,536 tokens |
| Capabilities | images, tool calling, reasoning |
LiteLLM community dataset (MIT), verified August 15, 2026. Official Google (Gemini) pricing.
What Gemini 3.7 Flash would cost on your workload — run it through the cost calculator →
Where to try Gemini 3.7 Flash 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 well-suited for tasks that involve image understanding, such as image classification, object detection, and image segmentation, as well as tasks that require step-by-step reasoning and tool calling to execute complex functions
How do I get started with the Gemini model+
To get started with the Gemini model, users should familiarize themselves with the model's capabilities and limitations, and then design and implement a workflow that leverages the model's strengths, such as integrating it with other AI models or tools to create a comprehensive solution
How does the Gemini model differ from other models in the line+
The Gemini model differs from other models in the line in its unique combination of image understanding and step-by-step reasoning capabilities, which allows it to tackle complex tasks that require both visual analysis and logical execution
What are the limitations of the Gemini model+
The Gemini model has limitations, such as requiring high-quality input data and being sensitive to certain types of noise or bias, which users should be aware of when designing and implementing workflows that leverage the model
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.