xAI: Grok 4.3

Grok 4.3 is a reasoning model from xAI. It accepts text and image inputs with text output, and is suited for agentic workflows, instruction-following tasks, and applications requiring high factual...

41.0 Coding Index*84.7 tokens/sec*$1.25/1M input tokens
Release Date
April 30, 2026
Context Window
1,000,000 tokens
Input Modalities
textimage

Try xAI: Grok 4.3 in Kilo Code

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Benchmarking xAI: Grok 4.3

Coding Performance

Coding benchmarks and performance metrics for development tasks

Coding Benchmarks

BenchmarkScore
AA Coding Index41.0%
SciCode47.3%
TerminalBench Hard37.9%
LCR64.3%
IFBench81.3%

Speed & Efficiency

MetricValue
Output Speed85 tok/s

Performance metrics from Artificial Analysis

PinchBench data · refreshed daily

OpenClaw Benchmarks

PinchBench measures how xAI: Grok 4.3 performs on real OpenClaw agent tasks: multi-step execution, tool use, recovery, latency, and cost.

Average score

72.2%

#15 of 41 official models

Average time

201m 37s

9 runs · per OpenClaw task

Average cost

$14.992

Per benchmark run

Autonomous task execution

xAI: Grok 4.3 shows emerging average success across OpenClaw-style benchmark runs, useful for recurring research, browser, and file-based automations.

Tool use and recovery

PinchBench tasks stress multi-step planning, tool calls, and judge-verified completion rather than single prompt coding snippets.

Agent workflow fit

Its deliberate average runtime and premium run cost help set expectations for long-running KiloClaw agents and production workflows.

Compare the full OpenClaw leaderboard on PinchBench or run xAI: Grok 4.3 in hosted OpenClaw agents with KiloClaw.

Best models for OpenClaw

Real-World Usage

Real-world usage statistics from the Kilo Code community

Weekly Token Usage

Mode Rankings (Last Week)

Where this model ranks for each built-in mode

Code

Write, modify, and refactor code

No data

Ask

Get answers and explanations

#82

Debug

Diagnose and fix software issues

#48

Orchestrator

Coordinate tasks across multiple modes

#76

Real-world metrics from the Kilo Code Leaderboard

Pricing

Cost per 1 million tokens

Input Tokens
$1.25
per 1M tokens
Output Tokens
$2.50
per 1M tokens

Example Cost

Analyzing a 10,000 line codebase (≈40k input tokens, 10k output tokens) costs approximately $0.0750

Coding Capabilities

Features and parameters relevant to coding tasks

Coding Features

Function Calling
Can call external functions/APIs
Tool Choice
Control over function selection
Structured Outputs
JSON schema validation
Reasoning Tokens
Extended thinking for complex problems

Pricing details from OpenRouter

Technical Details

Architecture and implementation specifications

Model ID
x-ai/grok-4.3
Artificial Analysis Slug
grok-4-3
Created
April 30, 2026
Tokenizer
Grok
Input Modalities
text, image
Context Window
1,000,000 tokens
Input Price
$1.25 per 1M tokens
Output Price
$2.50 per 1M tokens
Cache Read Price
$0.20 per 1M tokens
Content Moderation
Disabled

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