LLM Price War tracks costs, ships CLI

This is exactly the kind of small utility AI developers keep rebuilding in private, which makes an open community version more useful than it looks at first glance.

• –The real win is not the table itself but the CLI, which makes cost estimation easy to drop into budgeting, eval, and routing workflows
• –Community-maintained pricing fills a real gap because provider pricing pages change often and rarely present apples-to-apples comparisons
• –The repo is early and still relies on manual data stubs, so its credibility will depend on how quickly contributors keep pricing fresh
• –There is already a growing market of web-based LLM pricing comparison sites, so the GitHub-native, PR-friendly workflow is its clearest differentiator
• –For teams juggling multiple model vendors, task-level comparisons are more actionable than raw per-token prices because they map directly to real usage patterns