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AI123AI Modelsx-aiGrok 4.3
Grok 4.3

Grok 4.3

x-ai

Grok 4.3 is a reasoning model from SpaceXAI. It accepts text and image inputs with text output, and is suited for agentic workflows, instruction-following tasks, and applications requiring high factual accuracy. Reasoning can be configured between none/low/medium/high (default low) effort levels.

It supports a 1 million token context window with no output token limit, making it well-suited for long-document analysis, deep research, and multi-step agentic tasks. Pricing is tiered: requests exceeding 200k total tokens are billed at a higher rate.

Modalities
TT
Input / output price
$1.25/$2.5per 1M tokens
Context
1.0M
Released
2026-04-30
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
$1.25/ 1M tokensOver 200K: $2.50 / 1M tokens$2.50/ 1M tokensOver 200K: $5.00 / 1M tokens$0.20/ 1M tokensOver 200K: $0.40 / 1M tokens$0.005/ request

Artificial Analysis

Explore rankings
24.9

Intelligence index

Outperforms 67% of compared models

42.2

Coding index

Outperforms 41% of compared models

15.5

Agentic index

Outperforms 45% of compared models

Design Arena

Elo scores and win rates across design and agent tasks.

Category performance

1,000-1,500 Elo
3D: 1121; Asciiart: 1123; Code Categories: 1185; Data Visualization: 1181; Game Development: 1171; SVG: 1079; UI Component: 1188; Website: 11943D1121 EloAsciiart1123 EloCode Categories1185 EloData Visualization1181 EloGame Development1171 EloSVG1079 EloUI Component1188 EloWebsite1194 Elo

Model Arena

Asciiart

1123Elo

Win rate 42.5%

UI Component

1188Elo

Win rate 44.9%

Code Categories

1185Elo

Win rate 43.6%

Data Visualization

1181Elo

Win rate 45.1%

Game Development

1171Elo

Win rate 42.8%

Website

1194Elo

Win rate 44%

SVG

1079Elo

Win rate 36.9%

3D

1121Elo

Win rate 40.8%

Agent Arena

Pptxslides

1071Elo

Win rate 32.5%

Agentichtmlslides

1066Elo

Win rate 31.8%

Agenticslides

1072Elo

Win rate 31.9%

Agenticslides(html)

1066Elo

Win rate 31.7%

Agenticslides(python-pptx)

1068Elo

Win rate 32.4%

Blender3d

816Elo

Win rate 12.5%

Agenticgamedev

972Elo

Win rate 28.7%

Htmlslides

905Elo

Win rate 28.4%

Spreadsheet

927Elo

Win rate 34.5%

Python-pptxslides

1072Elo

Win rate 30.8%

Webapps

1126Elo

Win rate 42.8%

Godotgamedev

914Elo

Win rate 20.7%

Androidnative

962Elo

Win rate 22.7%

Fullstack

1006Elo

Win rate 28.1%

Mobile Apps

1058Elo

Win rate 33.4%

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 4.6

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.

Context
500K
Max output
450K
Released
2026-08-12
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
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