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xAI · Balanced

Grok Build 0.1

Added May 20, 2026

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Use in the app

Grok Build 0.1 is SpaceXAI's fast coding model trained specifically for agentic software engineering workflows. It supports text and image inputs with text output, and is optimized for interactive coding agents, tool use, and multi-step development tasks. Currently in early access. Content policy rejections can still be charged: SpaceXAI may pass through a $0.05 moderation-failure fee, or a $0.055 usage-guidelines violation fee, depending on which rejection upstream returns.

  • Reasoning
  • Tools
  • Vision
  • Structured output
Input
Text, Images
Output
Text
Discovery tier
Balanced

Pricing

USD per 1M tokens
Input
$1.00
Output
$2.00
Cache read
$0.20

Reference prices as published by the model provider. API example

Specifications

Context window
256K
Max output
—
Average output (7 days)
3K tokens
Longer than 96% of 473 models

Side by side

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TryKimi K2.6 TEESolar Pro 4GLM 5 TurboAll 3

Public evaluations

Benchmarks

Independent evaluation results, with how each score ranks among the models in the Noumen catalog.

Intelligence Index

27.2

Better than 69% of 326 scored models

3.8Catalog models by score55.1

Indexes

  • Coding Index

    51.5

    Composite of the coding evaluations

    Better than 49% of 168 scored models

Agentic work

  • GDPval-AAv2.1

    1,065 Elo

    Economically valuable occupational tasks, rated head to head

    Better than 42% of 187 scored models

Document reasoning

  • AA-LCRv1.1

    74.7%

    Reasoning across long documents

    Better than 59% of 309 scored models

Reasoning and knowledge

  • Humanity’s Last Exam

    38.3%

    Expert-level questions across academic fields

    Better than 72% of 323 scored models

  • GPQA Diamond

    89.5%

    Graduate-level science questions

    Better than 73% of 291 scored models

Legacy evaluations

  • AA-LCR (unversioned)

    74.7%

    Long-context reasoning, earlier grading

    Better than 59% of 309 scored models

Scores from Artificial Analysis, updated Oct 26, 2026. Artificial Analysis

Live routing data

Performance and reliability

Recent averages across requests routed for this model. Your own speed depends on prompt length, reasoning effort and load.

Prompt cache hits
78.8%
About $0.37 per 1M input tokens with caching
Request success (24h)
100.0%
Reliable

Cache hits are the share of input tokens recently served from a prompt cache across all requests. They are not a forecast of your own hit rate.

Hourly request success · last 72 hoursLowest hour 100.0%
  • Healthy (98% or more)
  • Degraded (90–98%)
  • Down (under 90%)
  • No requests

Developers

Use it through the API

Noumen’s API is OpenAI-compatible: any Chat Completions client works with a base URL and a key.

Read the quickstart
curl https://www.noumen.xyz/api/v1/chat/completions \
  -H "Authorization: Bearer $NOUMEN_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "x-ai/grok-build-0.1",
    "messages": [{ "role": "user", "content": "Explain this stack trace." }]
  }'
import os
from openai import OpenAI

client = OpenAI(base_url="https://www.noumen.xyz/api/v1", api_key=os.environ["NOUMEN_API_KEY"])
reply = client.chat.completions.create(
    model="x-ai/grok-build-0.1",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

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