Technical Specifications of Grok Build 0.1
| Item | Grok Build 0.1 |
|---|---|
| Model ID | grok-build-0.1 |
| Provider | xAI |
| Model type | Coding-focused model for agentic software engineering |
| Input | Text, Image |
| Output | Text |
| Context window | 256,000 tokens |
| Capabilities | Reasoning, function calling, structured outputs |
| Coding focus | Web development, debugging, agentic software engineering |
| Tool ecosystem | MCP-supported workflows |
| Batch API | Not supported |
| Rate limit | 37 requests/second; 10,000,000 tokens/minute |
| Availability | us-east-1, us-west-2 |
What is Grok Build 0.1?
Grok Build 0.1 is xAI's coding-focused model designed for agentic software engineering. It is intended for workflows where an AI coding agent needs to work through multi-step development tasks rather than simply generate an isolated code snippet.
xAI specifically positions the model around web development, debugging, and MCP-enabled workflows. Its combination of a 256K-token context window, reasoning, function calling, and structured outputs makes it suitable for coding agents that need to inspect context, interact with tools, and iteratively work through software tasks.
Main Features of Grok Build 0.1
- Agentic coding: Designed for multi-step software-engineering workflows where the model can reason about a task and interact with external tools.
- Web development: xAI specifically identifies web-development tasks as a target use case.
- Debugging: The model is designed to investigate coding problems and work through debugging tasks.
- MCP support: Grok Build 0.1 is designed for workflows using the Model Context Protocol (MCP), allowing coding agents to work with external tools and services.
- 256K context window: The large context window allows developers to provide substantial source code, task history, documentation, and tool output in a single workflow.
- Function calling and structured outputs: These capabilities make the model suitable for applications that need predictable interactions between the model and application-side tools.
Grok Build 0.1 vs. Related xAI Models
| Model | Primary focus | Context | Key distinction |
|---|---|---|---|
| Grok Build 0.1 | Agentic software engineering | 256K | Coding-specialized model for development agents |
| Grok Code Fast 1 | Fast coding | — | xAI documentation lists grok-code-fast-1 as an alias associated with Grok Build 0.1 |
| Grok 4.7 | General-purpose reasoning | 500K | Broader model rather than a coding-specialized model |
For applications specifically built around software-engineering agents, Grok Build 0.1's documented positioning is centered on coding workflows, while the broader Grok models target a wider range of reasoning and multimodal tasks.
Representative Use Cases
1. Web Application Development
Grok Build 0.1 can be used in coding-agent workflows for building and modifying web applications, particularly when the task requires repeated code changes and tool interaction.
2. Debugging
The model is explicitly positioned for debugging workflows, making it applicable to tasks involving investigation of errors, code changes, and iterative problem solving.
3. Agentic Software Engineering
The model's function calling, reasoning, structured outputs, and long context support workflows where an agent needs to execute a sequence of development tasks rather than produce a single response.
4. MCP-Based Development
MCP support allows Grok Build 0.1 to participate in development environments where external tools and services are exposed through the Model Context Protocol.
5. Large-Codebase Tasks
The 256K-token context window can accommodate large amounts of source code and supporting information, making it useful for tasks involving multiple files, documentation, previous tool results, and extended coding sessions.
Limitations
Grok Build 0.1 is positioned specifically around software engineering rather than as a general-purpose model for every application. Developers should also account for its documented 256K context window, regional availability, published rate limits, and lack of Batch API support.
The absence of an official benchmark table on the current model documentation also means that benchmark performance should not be represented with unsupported numerical claims.
How to access Grok Build 0.1 API through CometAPI
CometAPI's current Grok API material lists grok-build-0.1 as its coding model and describes a 256K-context route.
Step 1: Get a CometAPI API key
Sign in to CometAPI and create an API key from the API console.
Step 2: Select grok-build-0.1
Use the exact model ID grok-build-0.1 in the request and use the CometAPI endpoint documented for the selected API interface.
Step 3: Send the coding task and process the response
Provide the coding task, repository context, or tool input required by your application, then process the returned response.
For new xAI-native integrations, xAI's current announcement provides a Responses API example using grok-build-0.1.
Why Use CometAPI for Grok Build 0.1?
Using Grok Build 0.1 through CometAPI provides a unified integration layer for applications that work with multiple AI model providers. Developers can keep a common API base URL and authentication pattern while changing the model identifier when switching between supported models. CometAPI documents this model-switching approach across supported model families.
This can be particularly useful for:
Centralized API management — use CometAPI's API key, model catalog, and usage infrastructure instead of implementing separate provider credentials.
Multi-model applications — switch between Grok and other supported models without maintaining separate provider integrations.
Rapid prototyping — test Grok Build 0.1 using a familiar OpenAI-compatible SDK.
Coding-agent applications — connect the model to an existing agent framework through CometAPI.
Model experimentation — compare different models while keeping the application integration pattern consistent.