Gemini Exp 1206
Google (Gemini)
At a glance
- Price per 1M tokens (input)
- $0.30
- Price per 1M tokens (output)
- $2.50
- Context
- 1,048,576 tokens
- Free access
- yes (see below)
Refreshed daily; data verified August 15, 2026. Published August 12, 2026.
The Gemini Exp 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 automating complex workflows through tool calling, which refers to the ability to invoke external functions or services to perform specific tasks. The vendor's approach to developing this model focuses on enabling users to break down complex problems into manageable steps, and then using the model's reasoning capabilities to find solutions. By leveraging the model's image understanding and tool calling capabilities, users can automate tasks such as image classification, object detection, and data extraction, freeing up resources for more strategic activities. The model's step-by-step reasoning capabilities also enable users to trace the decision-making process and understand how the model arrived at a particular conclusion.
Specifications & pricing
| Input (per 1M tokens) | $0.30 |
|---|---|
| Output (per 1M tokens) | $2.50 |
| Cache read (per 1M tokens) | $0.03 |
| 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 Exp 1206 would cost on your workload — run it through the cost calculator →
Where to try Gemini Exp 1206 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 Exp model good for+
The Gemini Exp model is well-suited for tasks that involve image understanding, such as image classification, object detection, and data extraction, as well as automating complex workflows through tool calling and step-by-step reasoning
How do I get started with the Gemini Exp model+
To get started with the Gemini Exp model, users should familiarize themselves with the model's capabilities and limitations, and then identify specific use cases or tasks that they want to automate or improve, such as image analysis or workflow automation
How does the Gemini Exp model differ from other models in the line+
The Gemini Exp model differs from other models in the line in its advanced image understanding and step-by-step reasoning capabilities, which enable users to automate more complex tasks and workflows, and its ability to invoke external functions or services through tool calling
What are the limitations of the Gemini Exp model+
The limitations of the Gemini Exp model include its reliance on high-quality training data, and its potential vulnerability to bias or errors in the data, which can impact the accuracy and reliability of its outputs and decisions
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