Grok Build 0.1
xAI
At a glance
- Price per 1M tokens (input)
- $1.00
- Price per 1M tokens (output)
- $2.00
- Context
- 256,000 tokens
- Free access
- yes (see below)
Refreshed daily; data verified August 15, 2026. Published August 12, 2026.
Grok Build 0.1 is designed for engineering teams and technical evaluators who need a model that can interpret visual inputs, execute multi-step operations via tool calling (the ability to invoke external functions or APIs during a response), and produce transparent, step-by-step reasoning for complex problem-solving. It suits tasks like document analysis with embedded diagrams, automated workflow orchestration, and debugging logic chains where traceable intermediate steps are essential. The vendor, xAI, differentiates itself by prioritizing mechanistic interpretability, meaning the model’s internal decision paths are designed to be more auditable than typical black-box alternatives. This makes it a practical choice for regulated industries or research settings where explainability is not a luxury but a requirement.
Specifications & pricing
| Input (per 1M tokens) | $1.00 |
|---|---|
| Output (per 1M tokens) | $2.00 |
| Cache read (per 1M tokens) | $0.20 |
| Context window | 256,000 tokens |
| Max output | 256,000 tokens |
| Capabilities | images, tool calling, reasoning |
LiteLLM community dataset (MIT), verified August 15, 2026. Official xAI pricing.
What Grok Build 0.1 would cost on your workload — run it through the cost calculator →
Where to try Grok Build 0.1 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 best used for in a business context?+
It excels at tasks that combine visual data with structured action, such as extracting information from charts and then triggering follow-up database queries, or parsing engineering schematics and generating maintenance checklists. Its step-by-step reasoning also makes it useful for audit trails in compliance workflows, where you need to show how a conclusion was reached.
How do I get started with Grok Build 0.1?+
You access it through the xAI developer platform, where you can send requests via an API endpoint. For initial testing, you can use the built-in playground to upload an image and ask a question that requires a tool call, then review the reasoning trace. For production, you will need to define your custom functions in the tool schema and handle authentication keys.
How does Grok Build 0.1 differ from other models in the xAI line?+
The sibling models in the line are optimized for general conversational chat or fast, single-pass text generation. Grok Build 0.1 is specifically tuned for agentic workflows, meaning it holds a more persistent internal state during a multi-step task, and it exposes its reasoning steps for inspection. It also has stronger image comprehension than the text-only siblings, but it is not designed for creative writing or open-ended dialogue.
What are the main limitations I should plan around?+
The model's reasoning trace can be verbose, which increases latency for simple queries, so you should reserve it for tasks that genuinely need multi-step logic. It may occasionally misread low-resolution images or fail to call a tool when the instruction is ambiguous, so you should validate outputs with a fallback rule. Also, it does not support streaming of intermediate reasoning steps, only the final answer.
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