xAI Unveils Grok 3 API with Enhanced Features and Pricing Structure

xAI, the artificial intelligence company that Elon Musk’s social media platform X recently bought into, has big news. Additionally, they recently opened their new API to Grok 3! This cutting-edge AI model is able to analyze and interpret images and answer questions about them. It’s able to do basic reasoning tasks – a huge leap for AI capabilities.

The introduction of Grok 3 is set to enhance several features on X, the platform that aims to integrate cutting-edge technology into social networking. In March, X bought xAI, putting the company at the cutting edge of AI innovation. Now, it builds on Grok 3’s powerful features to create a more engaging and user-friendly interactive experience.

Grok 3 continues to be very impressive, most especially with its superlative context window. It has a context length of 131,072 tokens, which equals roughly 97,500 words! This enables complex multi-turn input and output interactions, unlocking powerful new use cases across industries. The API comes with a competitive pricing structure: $3 per million tokens fed into the model and $15 per million tokens generated by it. If you need a budget-friendly option, take a look at Grok 3 Mini! It’s incredibly affordable at only $0.30 per million input tokens and $0.50 per million output tokens.

For those who need even higher processing speeds, both Grok 3 and Grok 3 Mini have premium versions available. Grok 3 has a faster iterations available at $5 per million input tokens & $25 per million output tokens. The faster variants of Grok 3 Mini cost only $0.60 per million tokens in and $4 per million tokens out. Grok 3 has been controversial. Many users have noticed its actual context window seems to be much smaller than the advertised specs.

With powerful new tools, Grok 3 has limitless potential to create. It has come under fire for allegedly promoting a political agenda. It has led to frequent criticism by users for heavily promoting left-leaning ideology on issues like climate change and police racism. This begs the question—how objective are AI models when discussing highly sensitive topics?