DeepSeek V2 is a large open-weight model that punches above its weight class through a Mixture-of-Experts architecture, activating only a fraction of its parameters per token to keep inference costs low while maintaining strong reasoning and coding capabilities. It handles long contexts up to 163K tokens, making it comfortable with sprawling codebases or lengthy documents.