LLM Models/Grok 4.1 Fast

Grok 4.1 Fast by xAI — 2.0M Context

A frontier multimodal model optimized specifically for high-performance agentic tool calling.

At a glance

Modalities

Context window

2,000,000

Pricing

$3.00 / $15.00

input / output per 1M

Reasoning

Enabled
💸Price Calculator
Input1.0M
$3.00
Output0.5M
$7.50
Total: $10.50
10Coffee
🥇
0.1Gold (g)
🍕
4.2Pizza
🐄
0.3%Cow
🎮
0.4%RTX 5090

Capabilities

Streaming

Real-time token-by-token response streaming

Function calling

Connect the model to external tools and systems

Structured outputs

Return responses in JSON schema format

Reasoning

The model thinks before responding

Caching

Cache responses to reduce latency and costs

Web search

Search the internet for real-time information

Live search

Real-time web search with source citations

Details

Model ID grok-4.1-fast
Provider xAI

Rate limits

Tier RPM TPM Batch queue
Default 480 4,000,000

What You Need to Know About Grok 4.1 Fast

Complete Overview of Grok 4.1 Fast by xAI

Get detailed information about Grok 4.1 Fast, including its context window of 2000000 tokens, pricing per million tokens, supported input and output modalities, and benchmark scores. This model from xAI offers specific capabilities for natural language processing, code generation, and complex reasoning tasks that set it apart from alternatives.

Pricing and Cost Analysis for Grok 4.1 Fast

Compare input and output token pricing for Grok 4.1 Fast against other models in its class. Understanding LLM pricing is essential for budgeting your AI applications at scale. We break down the cost per million tokens for both input and output so you can estimate the total cost of your workloads and compare value across providers.

Benchmarks and Performance Metrics for Grok 4.1 Fast

Review benchmark performance data for Grok 4.1 Fast across key evaluation metrics. Compare its reasoning, coding, and language understanding capabilities against competing models to determine if it is the right fit for your specific requirements, whether that involves complex analysis, creative generation, or efficient inference at scale.