// ai model capability

Source: Newcomer

The initial gold-rush spending on code-generation tools like GitHub Copilot and Claude is hitting a wall as companies confront the actual token costs of agentic systems—which consume far more API calls and context than simple completions, turning what looked like productivity gains into expensive infrastructure liabilities. Enterprises are moving away from treating token usage as a measure of capability and instead evaluating AI tools by per-request fees and operational overhead. The market is beginning to separate genuinely useful coding agents from token-hungry tools, which will reward companies that optimize for efficiency over model size.