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Many developers have been changing their workflows to incorporate AI coding agents more heavily, thanks to powerful frontier large language models and increasingly sophisticated harnesses like Claude Code or Codex, but the cost of running those cloud models is steep, and many are questioning whether it will remain practical. Open-weight models that can be run locally, like some of the latest Qwen and DeepSeek models, can accomplish many of the same tasks but without charging a fortune for tokens, as they’re smaller and driven by the user’s own local energy and compute.
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