Gemini 2.0 Flash
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 developers seeking to leverage advanced image understanding and tool calling capabilities, which involve invoking external functions to perform specific tasks. This model is well-suited for tasks that require analyzing and interpreting visual data, as well as integrating with other systems and tools. The vendor's approach focuses on providing a flexible and scalable solution that can be easily integrated into existing workflows. By using the Gemini model, users can automate tasks, gain insights from visual data, and build more sophisticated applications. The model's ability to understand images and call tools makes it a valuable asset for a wide range of applications.
Specifications & pricing
| Input (per 1M tokens) | $0.10 |
|---|---|
| Output (per 1M tokens) | $0.40 |
| Cache read (per 1M tokens) | $0.025 |
| 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 would cost on your workload — run it through the cost calculator →
Where to try Gemini 2.0 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 involve image understanding and tool calling, such as analyzing visual data, automating tasks, and building sophisticated applications
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 steps for integration and implementation
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 specialize in other areas, such as natural language processing
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