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AI123AI Modelsx-aiGrok 4.6
Grok 4.6

Grok 4.6

x-ai

Grok 4.6 is a model from SpaceXAI with frontier performance on coding, knowledge work, and STEM. It is succeeded by Grok 4.7.

Modalities
TT
Input / output price
$2/$6per 1M tokens
Context
500K
Released
2026-08-12
PricingArtificial AnalysisDesign ArenaRelated Models

Pricing

Usage prices in USD. Token rates are per one million tokens; other billing units are shown with each charge.
InputOutputCache readWeb search
$2.00/ 1M tokensOver 200K: $4.00 / 1M tokens$6.00/ 1M tokensOver 200K: $12.00 / 1M tokens$0.50/ 1M tokensOver 200K: $1.00 / 1M tokens$0.005/ request

Artificial Analysis

Explore rankings
44.3

Intelligence index

Outperforms 93% of compared models

76.8

Coding index

Outperforms 97% of compared models

53.0

Agentic index

Outperforms 95% of compared models

Design Arena

Elo scores and win rates across design and agent tasks.

Category performance

1,000-1,500 Elo
3D: 1273; Asciiart: 1278; Code Categories: 1290; Data Visualization: 1284; Game Development: 1294; SVG: 1237; UI Component: 1289; Website: 12873D1273 EloAsciiart1278 EloCode Categories1290 EloData Visualization1284 EloGame Development1294 EloSVG1237 EloUI Component1289 EloWebsite1287 Elo

Model Arena

Asciiart

1278Elo

Win rate 58.3%

SVG

1237Elo

Win rate 48.9%

Code Categories

1290Elo

Win rate 52.5%

Data Visualization

1284Elo

Win rate 51.4%

Game Development

1294Elo

Win rate 54%

Website

1287Elo

Win rate 52.2%

3D

1273Elo

Win rate 52.4%

UI Component

1289Elo

Win rate 53%

Agent Arena

Androidnative

1290Elo

Win rate 61.4%

Godotgamedev

1276Elo

Win rate 53%

Htmlslides

1146Elo

Win rate 60.1%

Fullstack

1264Elo

Win rate 54.9%

Agenticgamedev

1172Elo

Win rate 46.7%

Blender3d

1191Elo

Win rate 50%

Mobile Apps

1230Elo

Win rate 55.1%

Python-pptxslides

1197Elo

Win rate 52.7%

Webapps

1248Elo

Win rate 55.8%

How Design Arena works

Related Models

Grok 4.7

Grok 4.7

x-ai

Grok 4.7 is SpaceXAI's flagship model for coding, agentic tasks, and knowledge work, succeeding Grok 4.6. It is particularly strong at long-running software engineering tasks, verifying its own work, and managing long context, and it improves on its predecessor at professional knowledge work such as drafting documents and presentations. The model was trained with a longer reinforcement learning run weighted toward problems that take many hours to complete, and natively understands the Grok Bot harness for conversational tasks. It ships with a new safeguard stack that pairs strong jailbreak resistance with low refusal rates for legitimate cybersecurity and biology work. SpaceXAI's reported benchmark results use the xhigh reasoning effort.

Context
500K
Max output
450K
Released
2026-09-21
Input
$2/M
Output
$6/M
Cache read
$0.5/M
Grok 4.5

Grok 4.5

x-ai

Grok 4.5 is a model from SpaceXAI with frontier performance on coding, knowledge work, and STEM.

Context
500K
Max output
450K
Released
2026-07-08
Input
$2/M
Output
$6/M
Cache read
$0.3/M
Grok Build 0.1

Grok Build 0.1

x-ai

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. The model powers SpaceXAI’s Grok Build CLI and features a 256K context window with no text output limit, making it well suited for long-horizon coding and automation workflows. Currently in early access.

Context
256K
Max output
230.4K
Released
2026-05-20
Input
$1/M
Output
$2/M
Cache read
$0.2/M
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