Grok 4.20.0309 Non Reasoning
xAI
At a glance
- Price per 1M tokens (input)
- $1.25
- Price per 1M tokens (output)
- $2.50
- Context
- 1,000,000 tokens
- Free access
- yes (see below)
Refreshed daily; data verified August 16, 2026. Published August 12, 2026.
The Grok model is suitable for businesses and organizations that require image understanding and automation capabilities. This model is particularly useful for tasks such as image analysis, processing, and generation, where the ability to call external tools or functions, also known as tool calling, is necessary. The vendor's approach to developing this model focuses on providing a robust and flexible framework that can be easily integrated with existing systems and workflows. By leveraging the model's capabilities, users can streamline their operations, improve efficiency, and enhance decision-making. The model's image understanding capabilities enable it to extract insights and relevant information from visual data, which can be used to inform business decisions or automate tasks.
Specifications & pricing
| Input (per 1M tokens) | $1.25 |
|---|---|
| Output (per 1M tokens) | $2.50 |
| Cache read (per 1M tokens) | $0.20 |
| Context window | 1,000,000 tokens |
| Max output | 1,000,000 tokens |
| Capabilities | images, tool calling |
LiteLLM community dataset (MIT), verified August 16, 2026. Official xAI pricing.
What Grok 4.20.0309 Non Reasoning would cost on your workload — run it through the cost calculator →
Where to try Grok 4.20.0309 Non Reasoning for free
- xAI offers a free chat — Grok (limited free access). A vendor's free chat may run a different model from the same family — the exact model is not guaranteed.
Frequently asked questions
What is this model good for+
This model is good for tasks that require image understanding and automation, such as image analysis, processing, and generation, where the ability to call external tools or functions is necessary
How do I get started with this model+
To get started with this model, users can begin by reviewing the documentation and guidelines provided by the vendor, which outline the steps for integration and implementation
How does this model differ from other models in the line+
This model differs from other models in the line in its focus on image understanding and tool calling capabilities, which set it apart from models that may have different areas of specialization
What are the limitations of this model+
The limitations of this model include its reliance on the quality and accuracy of the input data, as well as its potential inability to handle certain types of images or scenarios, which may require additional processing or customization
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