Grok 4.20.0309
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 4.20.0309 by xAI is designed for developers and technical teams building applications that require multimodal understanding and interactive reasoning. It supports tasks such as interpreting visual content, executing functions through tool calling, and breaking down complex problems into logical steps. The model distinguishes itself through xAI's focus on aligning reasoning processes with user intent while maintaining transparency in how conclusions are reached. This approach emphasizes reliability in dynamic environments where both visual input and actionable outputs are essential.
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 4.20.0309 would cost on your workload — run it through the cost calculator →
Where to try Grok 4.20.0309 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 Grok 4.20.0309 best suited for?+
It is well suited for applications needing to analyze images alongside text, invoke external functions or APIs based on context, and perform multi-step reasoning such as planning workflows or troubleshooting systems. Common use cases include visual data interpretation in logistics, automated customer support with action triggers, and technical documentation analysis.
How does tool calling work in this model?+
Tool calling allows the model to recognize when a user request requires accessing external data or performing an action, such as querying a database or controlling a device. It generates a structured call to a predefined function, which the application then executes and returns the result to the model for further reasoning. This enables dynamic interaction with real-world systems.
How does Grok 4.20.0309 differ from earlier versions in the Grok line?+
This version improves upon prior releases by enhancing image understanding accuracy and refining the reliability of step-by-step reasoning chains. It also expands the range of tools it can effectively invoke, with better handling of ambiguous inputs and more consistent adherence to safety guidelines during function execution.
What should users be aware of regarding limitations?+
While capable, the model may struggle with highly abstract visual concepts or niche domain knowledge not well represented in its training. Tool calling depends on the availability and correct implementation of functions by the developer, and reasoning quality can vary with the clarity of the initial prompt. Users should validate outputs in critical applications.
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