Grok 4.20 Experimental Beta
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 September 25, 2026. Published September 25, 2026.
Grok 4.20 Experimental Beta by xAI is designed for developers and technical teams building applications that require both visual comprehension and dynamic interaction with external systems. It excels in tasks such as analyzing diagrams or screenshots while simultaneously invoking APIs or functions to retrieve or modify data, enabling workflows like automated report generation from visual inputs or interactive data exploration. The model integrates step-by-step reasoning to break down complex multi-stage problems into verifiable actions, improving reliability in decision-support scenarios. xAI’s approach emphasizes alignment between perceptual understanding and executable logic, reducing the gap between interpreting inputs and taking meaningful actions in real-world environments.
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, reasoning |
LiteLLM community dataset (MIT), verified September 25, 2026. Official xAI pricing.
What Grok 4.20 Experimental Beta would cost on your workload — run it through the cost calculator →
Where to try Grok 4.20 Experimental Beta 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 types of tasks is this model particularly suited for?+
This model is well-suited for applications that need to interpret visual content such as charts, documents, or interface elements and then act on that understanding by calling external tools or functions—examples include validating form inputs against screenshots, extracting data from images to update databases, or guiding users through software workflows by combining visual analysis with API interactions.
How does a developer begin using this model in practice?+
Developers can access the model through xAI’s API platform by specifying the model identifier in their requests, then structure inputs to include both image data and tool definitions; the model processes the visual input, reasons about required steps, and returns structured tool calls that the application can execute, with results fed back for further reasoning if needed.
How does this model differ from earlier versions in the Grok series?+
Unlike prior versions that focused primarily on text or basic image understanding, this experimental release integrates tool calling as a core capability, allowing the model not only to perceive and reason about visual inputs but also to initiate actions in external systems, making it more suitable for agent-like behaviors in automated workflows.
What are current limitations users should be aware of?+
As an experimental beta, the model may exhibit inconsistent performance in complex reasoning chains or when handling ambiguous visual inputs; tool calling reliability depends on clear function definitions, and users should implement fallback mechanisms and validation steps in production use to manage unexpected outputs.
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