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Model details

Grok Build 0.1

Grok Build 0.1 is positioned by xAI as their fastest coding model, trained specifically for agentic coding tasks such as web development, debugging, and MCP support, and it is the same engine that powers the Grok Build product referenced in xAI's getting-started documentation. xAI describes the release as a public beta on its API, serving the model at a stated throughput of more than one hundred tokens per second, and frames it not only for coding but also as a speedy, economical choice for general-purpose agentic and tool calling workloads.

Because the model is optimized around coding harnesses, it fits naturally into developer environments that orchestrate multi-step agentic loops, including Cursor, Hermes Agent, OpenClaw, Kilo Code, and OpenCode, and it is also reachable through aggregators like OpenRouter and Vercel AI Gateway. Pricing is set at one dollar per million input tokens and two dollars per million output tokens, making it a budget-conscious option for teams that want fast iteration on code generation and tool-mediated tasks. For practitioners, the practical fit is clear: choose this model when latency and tool calling matter more than broad multimodal reasoning, and pair it with a harness that can drive structured, multi-turn coding workflows.

Kilo Gatewayx-ai/grok-build-0.1grok-build
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Quick Info

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Provider
Kilo Gateway
Model key
x-ai/grok-build-0.1
Release date
Apr 16, 2026
Last updated
Apr 16, 2026
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$1.00
Output token cost
$2.00

Limits

Output tokens
230,400 tokens
Context window
256,000 tokens

Transparent token rates

Compare Grok Build 0.1 pricing

Rates are shown per one million tokens. Combined means one million input plus one million output tokens.

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Latest news about Grok Build 0.1

ZenMux

Official sourceAnnouncement

On May 29, 2026, xAI announced that grok-build-0.1, its fastest coding model, became available through the xAI API in public beta. The page explicitly identifies the version as "grok-build-0.1" and describes it as a coding model trained for agentic coding tasks including web development, debugging, and MCP support, ser The announcement states the model accepts text and image inputs and produces text output, is the same model that powers the Grok Build CLI, and is recommended for use inside agentic harnesses including Grok Build, Cursor, Hermes Agent, OpenClaw, Kilo Code, and OpenCode. It also notes that the model is available via Ope

CrossModel

Official sourceRelease Notes

The Grok Build CLI changelog for v1.0.13, dated August 28, 2026, lists fixes and improvements shipping to Grok Build. Recent changes include length-truncated responses continuing automatically instead of failing, hooks being able to ask users to confirm a tool call, live pixel previews for pasted images on iTerm2, auto Additional v1.0.13 fixes cover Windows users correctly opening /.grok and worktree sessions, more reliable session data saving, truncated tool calls executing when arguments are complete, and faster MCP server startup when auth is already configured. Earlier entries in the changelog (v1.0.12) address MCP retry behavior

ZenMux

Coverage

An independent DevOps.com article (June 1, 2026) covers xAI opening Grok Build 0.1 to developers via the xAI API, confirming the exact version name "Grok Build 0.1" and reiterating that the model is now reachable without a SuperGrok or X Premium+ subscription, broadening access beyond the Grok Build CLI. The article de The piece reports that the model is served at 100+ tokens per second at $1 per million input tokens and $2 per million output tokens, and positions Grok Build 0.1 as a tool for building AI-powered applications rather than only driving a single CLI product. It frames the API release as a meaningful expansion of xAI's fo

FastRouter

CoverageBenchmark

The Kilo Code model page for SpaceXAI: Grok Build 0.1 documents a 256,000-token context window, a 230,400-token maximum output, and input modalities, with input cost of $1.00 per million tokens routed via OpenRouter. The page confirms the model as SpaceXAI's fast coding model trained for agentic software engineering wo Benchmark figures on the page include Kilo Bench Terminal Bench 2.0 at 50.6% completion with $30.70 average cost per attempt, and PinchBench OpenClaw runs at an average score of 88.9% across 50 official models, average runtime of 220m 40s over 5 runs, and $20.581 average cost per benchmark run. Category breakdowns show

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