Gemini 3.6 Flash
Google (Gemini)
At a glance
- Price per 1M tokens (input)
- $1.50
- Price per 1M tokens (output)
- $7.50
- Context
- 1,048,576 tokens
- Free access
- yes (see below)
Refreshed daily; data verified August 15, 2026. Published August 9, 2026.
The Gemini model is designed for businesses and organizations that require advanced image understanding and reasoning capabilities. It suits tasks such as image analysis, object detection, and image-based decision making. What distinguishes the vendor's approach is the integration of tool calling, which allows the model to leverage external functions and services to enhance its capabilities. This enables the model to perform step-by-step reasoning, breaking down complex tasks into manageable components. The Gemini model's capabilities make it a valuable asset for companies looking to automate and optimize their image-based workflows.
Specifications & pricing
| Input (per 1M tokens) | $1.50 |
|---|---|
| Output (per 1M tokens) | $7.50 |
| Cache read (per 1M tokens) | $0.15 |
| 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 3.6 Flash would cost on your workload — run it through the cost calculator →
Where to try Gemini 3.6 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 good for tasks that require image understanding, such as image analysis, object detection, and image-based decision making. It can also be used for tasks that require step-by-step reasoning and tool calling, which allows it to leverage external functions and services.
How do I get started with the Gemini model+
To get started with the Gemini model, you will need to familiarize yourself with its capabilities and limitations. You can then design and implement workflows that leverage the model's image understanding and reasoning capabilities, using tool calling to integrate with external functions and services as needed.
How does the Gemini model differ from other models in the line+
The Gemini model differs from other models in the line in its advanced image understanding and reasoning capabilities, as well as its integration of tool calling. This allows it to perform more complex tasks and leverage external functions and services to enhance its capabilities.
What are the limitations of the Gemini model+
The limitations of the Gemini model include its dependence on the quality and availability of external functions and services, as well as its potential for biased or inaccurate results if not properly trained or validated. It is therefore important to carefully evaluate and validate the model's performance in your specific use case.
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