Grok 4.0709
xAI
At a glance
- Price per 1M tokens (input)
- $3.00
- Price per 1M tokens (output)
- $15.00
- Context
- 256,000 tokens
- Free access
- yes (see below)
Refreshed daily; data verified August 15, 2026. Published August 12, 2026.
Grok 4.0709 by xAI is a large language model designed for developers and technical teams who need to integrate AI into their own applications or workflows. Its core strength is tool calling, which means the model can invoke external functions, APIs, or databases during a conversation, enabling it to fetch real-time data or execute actions. This makes it well-suited for building agents, automating business processes, and creating interactive assistants that go beyond static text generation. xAI’s approach emphasizes practical utility and direct integration, focusing on giving the model reliable hooks into your existing systems rather than just conversational polish.
Specifications & pricing
| Input (per 1M tokens) | $3.00 |
|---|---|
| Output (per 1M tokens) | $15.00 |
| Context window | 256,000 tokens |
| Max output | 256,000 tokens |
| Capabilities | tool calling |
LiteLLM community dataset (MIT), verified August 15, 2026. Official xAI pricing.
What Grok 4.0709 would cost on your workload — run it through the cost calculator →
Where to try Grok 4.0709 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 Grok 4.0709 best used for in a business context?+
It is ideal for tasks that require dynamic data access or action execution, such as customer support bots that check order status, internal tools that query databases, or workflow automation that triggers follow-up steps. Because it supports tool calling, it can turn a natural language request into a structured API call, making it a good fit for backend integration.
How do I get started with using Grok 4.0709?+
You can access it via the xAI API, where you define the tools or functions you want the model to use, then pass a list of available tools in your request. The model will decide when to call a tool, and you execute the call on your side, returning the result to the model for further processing. Start with a simple use case like a weather lookup or a database query to test the integration.
How does Grok 4.0709 differ from other models in the xAI family?+
The main differentiator is its emphasis on tool calling as a first-class capability, meaning it is optimized for reliable function invocation and structured output. Other models in the xAI line may focus more on general conversation or creative writing, while Grok 4.0709 is built for practical, action-oriented tasks where you need the model to interact with external systems.
What are the limitations of Grok 4.0709 that I should know?+
It is not designed for tasks that require deep reasoning or long-form creative writing—those are better handled by other models. Also, the quality of tool calling depends on how well you define your functions and their descriptions; vague or ambiguous tool definitions can lead to incorrect calls. Finally, the model does not have built-in memory, so you must manage conversation state yourself if your workflow needs it.
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