# AIKEK vs. ChatGPT

Powered by our custom, uncensored [universal-agents](https://docs.alphakek.ai/launch/universal-agents "mention") and an extensive, up-to-date knowledge engine [fractal](https://docs.alphakek.ai/fractal "mention"), Alpha Chat transcends traditional AI limitations by integrating the latest market data and community insights from across the Web3 landscape.

<table><thead><tr><th width="249">Feature</th><th>Alpha Chat</th><th>ChatGPT (GPT-4)</th></tr></thead><tbody><tr><td>Focus</td><td>Tailored for crypto¹</td><td>General-purpose AI</td></tr><tr><td>Bias</td><td>Uncensored model</td><td>General AI biases</td></tr><tr><td>Context Window</td><td>Up to 512k tokens²</td><td>Up to 128k tokens</td></tr><tr><td>Token Utility</td><td>$AIKEK enhances functionality</td><td>None</td></tr><tr><td>Sentiment Analysis</td><td>Yes</td><td>No</td></tr><tr><td>News Search</td><td>Yes</td><td>No</td></tr><tr><td>Token Audit</td><td>Yes</td><td>No</td></tr></tbody></table>

¹ While ChatGPT is a general-purpose language model, Alphakek AI is specifically tailored for the crypto industry, offering in-depth integration with real-time and on-demand crypto data that includes smart contracts, DEX trades, on-chain data, sentiment analysis, and more.

² A "context window" in AI language models refers to the amount of text (measured in tokens) the model can consider at one time when generating responses. A token can be a word or part of a word, thus affecting how much information the model can process in one go.

* **ChatGPT**: Offers varying context windows—8K tokens for free users, 32K for paid users, and 128K for enterprise users, facilitating more comprehensive dialogues at higher levels.&#x20;
* **Alpha Chat**: Starts with a 16K token context window for chats, extendable to 128K, mainly for B2B clients due to increased resource needs.

However, unlike typical models, Alpha Chat leverages the [fractal](https://docs.alphakek.ai/fractal "mention") engine, which processes data through knowledge subgraphs, effectively enhancing the effective context window size by at least 5x without being constrained by token limits.