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DeepSeek is one of the most closely watched Chinese model families, associated with reasoning, coding, open models, and cost-efficient training and inference. Its releases often trigger debate around architecture, training cost, inference efficiency, open strategy, and the global competitive landscape.

DeepSeek can be understood through three themes: how reasoning models improve math, coding, and complex problem solving; how open models reshape developer and cloud ecosystems; and whether cost efficiency makes high-capability models accessible to more companies and individuals.

General reasoning

Understanding problems, structuring steps, comparing options, and reasoning across domains.

Coding

Code generation, completion, explanation, refactoring, and engineering automation are major model uses.

Cost efficiency

Lower training and inference costs make capable models more accessible to companies and individuals.

Open ecosystem

Models, data, tools, and community collaboration determine the strength of open AI routes.

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