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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

Grok Build 0.1 compared

Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.

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Grok Build 0.1xAIThis modelKimi K2.6 TEEMoonshotRemove
ProviderxAIMoonshot
Discovery tierBalancedOpen weights
AddedMay 20, 2026Apr 21, 2026
Limits
Context window256K262.14KBest
Max output—65.54K
Average output3K tokens3.1K tokens
Pricing, USD per 1M tokens
Input$1.00Best$1.50
Output$2.00Best$5.25
Cache read$0.20Best$0.38
Performance
Request success (24h)—100.0%
Benchmark indexes
Intelligence Index27.2Best27.0
Coding Index51.561.8Best
Capabilities
ReasoningYesNo
ToolsYesYes
VisionYesYes
Structured outputYesNo
Reasoning effort——

Public evaluations

Benchmarks

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

  • Grok Build 0.1
  • Kimi K2.6 TEE

Intelligence Index

  • Grok Build 0.127.2
  • Kimi K2.6 TEE27.0

Grok Build 0.1: Better than 69% of 326 scored models

3.8Catalog models by score55.1

Indexes

  • Coding Index

    Composite of the coding evaluations

    • Grok Build 0.1: 51.5
    • Kimi K2.6 TEE: 61.8Top

Agentic work

  • AutomationBench-AA

    Workflow automation, penalized for guardrail violations

    • Grok Build 0.1: —
    • Kimi K2.6 TEE: 13.0%

  • AutomationBench-AA tasks completed

    Workflows finished end to end without a guardrail violation

    • Grok Build 0.1: —
    • Kimi K2.6 TEE: 1.8%

  • AA-Briefcasev1.1

    Agentic knowledge work, rated head to head

    • Grok Build 0.1: —
    • Kimi K2.6 TEE: 819 Elo

  • GDPval-AAv2.1

    Economically valuable occupational tasks, rated head to head

    • Grok Build 0.1: 1,065 EloTop
    • Kimi K2.6 TEE: 1,038 Elo

Document reasoning

  • GDP.pdf

    Professional reasoning over PDF documents, all-pass rate

    • Grok Build 0.1: —
    • Kimi K2.6 TEE: 13.0%

  • AA-LCRv1.1

    Reasoning across long documents

    • Grok Build 0.1: 74.7%
    • Kimi K2.6 TEE: 81.0%Top

  • MLCR-AA

    Long-context reasoning over medical records

    • Grok Build 0.1: —
    • Kimi K2.6 TEE: 11.1%

Reasoning and knowledge

  • Humanity’s Last Exam

    Expert-level questions across academic fields

    • Grok Build 0.1: 38.3%Top
    • Kimi K2.6 TEE: 37.5%

  • GPQA Diamond

    Graduate-level science questions

    • Grok Build 0.1: 89.5%
    • Kimi K2.6 TEE: 91.1%Top

  • IFBench

    Following precise output instructions

    • Grok Build 0.1: —
    • Kimi K2.6 TEE: 76.0%

Coding

  • Terminal-Benchv4.0

    Practical software engineering in a terminal

    • Grok Build 0.1: —
    • Kimi K2.6 TEE: 0.5%

  • SciCode

    Scientific computing in Python

    • Grok Build 0.1: —
    • Kimi K2.6 TEE: 51.5%

Legacy evaluations

  • Terminal-Bench Hard

    Earlier terminal task suite

    • Grok Build 0.1: —
    • Kimi K2.6 TEE: 43.9%

  • τ²-Bench Telecom

    Tool use in a customer-support simulation

    • Grok Build 0.1: —
    • Kimi K2.6 TEE: 95.9%

  • AA-LCR (unversioned)

    Long-context reasoning, earlier grading

    • Grok Build 0.1: 74.7%
    • Kimi K2.6 TEE: 81.0%Top

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)

xAI

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