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Modern frontier models like GPT-4o, Claude Opus 4, and Gemini 2.5 Pro natively process text, images, audio, and video in a single model. This multimodal capability enables applications like visual question answering, document understanding, and real-time audio conversation that were impossible just two years ago.

DeepSeek R1 offers strong reasoning capabilities at very competitive pricing for budget-conscious projects.

Many LLMs are proficient at generating code in various programming languages, debugging, explaining code snippets, and even translating code between languages. However, generated code always requires careful review.

Modern LLMs are increasingly multimodal, meaning they can process and generate information across different types of data, such as text, images, audio, and even video.

"'Any sufficiently advanced technology is indistinguishable from magic.' - Arthur C. Clarke. This often feels true for modern AI capabilities."

GPT-4o excels at multi-modal tasks combining text, image, and code understanding.

Large language models exhibit emergent abilities that weren't explicitly trained for, such as few-shot learning, chain-of-thought reasoning, and code generation, which appear at certain model scales.