What exactly is Grok Build 0.1?
Grok Build 0.1 is xAI's reasoning and coding model built for agentic software development. It is designed to plan, write, debug, and iterate on code across multi-step tasks — operating as an autonomous coding agent rather than a single-turn code generator. The model supports function calling, tool use, and is fully OpenAI-compatible.
API Pricing
* Input: $1.30 / 1M tokens
* Output: $2.60 / 1M tokens
Architecture: what makes it capable
Reasoning-first designGrok Build 0.1 applies chain-of-thought reasoning before generating code. Rather than pattern-matching to a likely completion, it plans the implementation, identifies edge cases, and structures the output — producing code that reflects deliberate problem decomposition.
Agentic tool useThe model is designed to operate inside tool-use loops. It can call functions, interpret results, revise its approach, and continue working toward a goal across multiple turns — enabling multi-step workflows without manual re-prompting at each step.
OpenAI-compatible interfaceGrok Build 0.1 uses the standard OpenAI chat completions format. Function definitions, tool call handling, and message structure follow the same schema — no custom integration layer required for teams already using OpenAI-compatible infrastructure.
Long-context code understandingThe model can ingest entire files, module trees, and test suites in a single request. Debugging, refactoring, and feature addition tasks can be handled with full project context rather than isolated code snippets.
Core capabilities
Agentic codingPass a task description and relevant context. The model plans the implementation, writes the code, and can call tools to verify, test, or extend its output — completing multi-step development tasks end to end.
Reasoning and problem decompositionSuited for tasks that require more than code generation: architecture decisions, debugging root cause analysis, algorithm selection, and stepwise planning for complex engineering problems.
Function calling and tool integrationDefine tools in the standard format and the model will call them as needed during a task — querying databases, running tests, fetching documentation, or invoking external APIs as part of its reasoning loop.
Code review and refactoringSubmit existing code for analysis. The model identifies bugs, suggests structural improvements, rewrites for clarity or performance, and explains its reasoning — acting as a technical reviewer rather than just a generator.
Who should use Grok Build 0.1?
Agent and automation developersEngineers building coding agents, CI/CD automation, or developer tooling that requires a model capable of multi-step reasoning and autonomous task completion.
Backend and full-stack teamsTeams accelerating feature development, bug fixing, and refactoring across codebases — with a model that understands project-level context rather than isolated functions.
Technical product teamsProduct engineers who need a reliable reasoning model for structured problem-solving, API design, and implementation planning alongside code generation.
Platforms building coding assistantsIDEs, developer tools, and AI-assisted coding platforms that need a capable, OpenAI-compatible backbone for their coding workflows.
Measured on the AI/ML API gateway across live traffic. Figures are medians unless stated. Last updated 2026-10-12.
Grok Build 0.1 is documented as suited for agentic coding tasks, including web development, debugging, and MCP support. It is also described as a speedy, economical option for general-purpose agentic and tool-calling use cases.
It is positioned for software engineering and workflow tasks, where it can connect to external tools and systems. That makes it suitable for building and modifying applications in multi-step, tool-driven workflows.
It is documented for interactive coding-agent work, including repository-level development and iterative code changes. It is also described as a fit for autonomous coding agents that plan, implement, and debug with minimal supervision.
It can be used in browser- or agent-based coding environments that perform repeated tool use across development steps. This includes headless scripts, orchestrators, and agent-client workflows.
import requests r = requests.post( "https://api.aimlapi.com/v1/chat/completions", headers={"Authorization": "Bearer " + AIMLAPI_KEY}, json={ "model": "x-ai/grok-build-0-1", "messages": [ { "role": "user", "content": "Hello!" } ] }, ) print(r.json())
const r = await fetch("https://api.aimlapi.com/v1/chat/completions", { method: "POST", headers: { Authorization: `Bearer ${process.env.AIMLAPI_KEY}`, "Content-Type": "application/json", }, body: JSON.stringify({ "model": "x-ai/grok-build-0-1", "messages": [ { "role": "user", "content": "Hello!" } ] }), }); console.log(await r.json());
curl -X POST https://api.aimlapi.com/v1/chat/completions \ -H "Authorization: Bearer $AIMLAPI_KEY" \ -H "Content-Type: application/json" \ -d '{"model":"x-ai/grok-build-0-1","messages":[{"role":"user","content":"Hello!"}]}'
OpenAI-compatible — swap the base URL and it works with your existing SDK.
| Type | Price |
|---|---|
| Input | |
| Output | |
| Cached input |
| Model | Input | Output | Context | Best for |
|---|---|---|---|---|
Grok Build 0.1 This page | Coding + agents | |||
| Reasoning + agents | ||||
| Balanced coding + agents | ||||
| Long-context, multimodal & agentic workflows | ||||
| Reasoning + agents |
Grok Build 0.1 takes image, text as input and returns text.
Use x-ai/grok-build-0-1 as the model id. Requests go to https://api.aimlapi.com/v1/chat/completions.
Grok Build 0.1 is priced at input $1.3 / 1M tokens, output $2.6 / 1M tokens, cached input $0.26 / 1M tokens.
Yes, Grok Build 0.1 can stream responses as they are generated.
Yes, Grok Build 0.1 accepts image input alongside text.
Grok Build 0.1 was built by xAI .
