Grok 3 Beta
xAI
At a glance
- Price per 1M tokens (input)
- $3.00
- Price per 1M tokens (output)
- $15.00
- Context
- 131,072 tokens
- Free access
- yes (see below)
Refreshed daily; data verified August 15, 2026. Published August 12, 2026.
Grok 3 Beta is designed for technical teams and developers who need a conversational model that can act on external data and APIs through tool calling, also known as function calling. It suits tasks like building AI agents, automating workflows, or retrieving real-time information from business systems. The vendor, xAI, emphasizes a direct, no-nonsense approach to reasoning and a willingness to tackle complex, multi-step problems. Unlike models that focus purely on text generation, this one prioritizes integration with existing software infrastructure, making it a practical choice for production use cases.
Specifications & pricing
| Input (per 1M tokens) | $3.00 |
|---|---|
| Output (per 1M tokens) | $15.00 |
| Cache read (per 1M tokens) | $0.75 |
| Context window | 131,072 tokens |
| Max output | 131,072 tokens |
| Capabilities | tool calling |
LiteLLM community dataset (MIT), verified August 15, 2026. Official xAI pricing.
What Grok 3 Beta would cost on your workload — run it through the cost calculator →
Where to try Grok 3 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 is Grok 3 Beta best used for in a business context?+
It is best for automating tasks that require the model to fetch data, update records, or trigger actions in other applications. For example, you can use it to build a customer support bot that queries an order database, or an internal assistant that schedules meetings via a calendar API. Its strength lies in reliable function calling, not in creative writing or open-ended conversation.
How do I get started with Grok 3 Beta?+
You access it through the xAI platform or API. The typical first step is to define the functions you want the model to call, providing clear names and parameter schemas. Then, you send a user request along with the list of available functions, and the model returns a structured call that your code executes. The documentation includes examples for common languages like Python and JavaScript.
How does Grok 3 Beta differ from other models in the Grok line?+
The key difference is that Grok 3 Beta is explicitly optimized for tool calling, meaning it is more reliable at deciding when and how to invoke external functions. Sibling models may be better at general chat or creative tasks, but they are not designed with the same level of structured output and API integration. This model trades some conversational flair for deterministic, action-oriented responses.
What are the limitations of Grok 3 Beta?+
It requires clear function definitions; if your tools are poorly specified, the model may mis-call them. It also has a fixed context window, so very long conversations or large documents may need to be truncated or summarized. Additionally, it is not a replacement for a full backend—it only returns the call, not the execution, so you must handle security and error handling on your side.
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