Does Grok support image analysis?

Yes, the grok-2-vision model is specifically designed for vision tasks including image analysis, chart interpretation, and screenshot processing.

How can I reduce API costs when using xAI models?

You can reduce costs by using Grok-3-mini for simple tasks, leveraging token caching (which is 75% cheaper), and batching similar requests into a single prompt.

What is the context window for Grok-4-1-fast?

Grok-4-1-fast features a 2 million token context window, which is equivalent to approximately 6,000 pages of text or 50 hours of audio.

Which Grok model is best for tool calling?

Grok-4-1-fast is the recommended model for tool calling and agentic workflows due to its optimized performance and massive 2M token context window.

Can Grok models perform real-time searches on X (Twitter)?

Yes, models like Grok-4-1-fast are optimized for real-time search and sentiment analysis on the X platform via built-in tool calling.

xAI Grok Model Selector

Name: xAI Grok Model Selector
Author: adaptationio

byadaptationio

データサイエンスとML

Simplifies the selection and optimization of xAI Grok models for development tasks through detailed capability and cost analysis.

概要

This skill provides a comprehensive reference and decision-making framework for xAI's suite of Grok models, enabling developers to choose the most cost-effective and performant model for specific tasks. It covers everything from high-reasoning models like Grok-4 to lightning-fast agentic models like Grok-4.1-fast, including critical data on pricing, context windows, and specialized features like X search integration and vision analysis. By providing implementation snippets and optimization strategies such as token caching, this skill helps developers maximize the efficiency of their AI-powered applications.

主な機能

Implementation guides for Grok vision and X search capabilities
0 GitHub stars
Context window benchmarks for massive data processing
Comprehensive model performance and pricing comparison tables
Cost optimization strategies including caching and batching tips
Interactive decision tree for task-specific model selection

ユースケース

Implementing advanced image analysis and chart interpretation using Grok-2-vision
Optimizing API budgets for high-volume text classification or processing
Choosing the optimal model for complex agentic workflows and tool calling

概要

主な機能

Implementation guides for Grok vision and X search capabilities
0 GitHub stars
Context window benchmarks for massive data processing
Comprehensive model performance and pricing comparison tables
Cost optimization strategies including caching and batching tips
Interactive decision tree for task-specific model selection

ユースケース

Implementing advanced image analysis and chart interpretation using Grok-2-vision
Optimizing API budgets for high-volume text classification or processing
Choosing the optimal model for complex agentic workflows and tool calling