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Open weights are free to download, but inference is not free to run. Here is the honest break-even math on when self-hosting GLM-5.2, DeepSeek V4, or Llama beats paying per-token API prices - GPU rental and ownership costs, real throughput, utilization, the crossover in tokens per month, and the hidden ops bill nobody budgets for.

Choosing a local coding LLM in 2026 means balancing benchmark performance, hardware cost, and the compliance pressure to keep code off third-party servers. Here is what to run and on what hardware.

Claude Code does not have to call Anthropic's API. Here are five working patterns for running it through your own gateway, on your own models, in your own VPC, with full audit logs and cost control.

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