
Claude Code Model Switching: Use Haiku for 80% of Tasks and Save Big
Haiku is 18.75x cheaper than Opus. With the right context, it handles 80% of coding tasks. A three-tier model strategy cuts daily costs by 90%.
Technical writing on AI coding agents, context engineering, and developer productivity.

Haiku is 18.75x cheaper than Opus. With the right context, it handles 80% of coding tasks. A three-tier model strategy cuts daily costs by 90%.

Opus costs 5x more than Sonnet per token. Strategic model switching with optimized context cuts daily costs by 84% without sacrificing code quality.

The average Claude Code API cost is $6/day. With dependency-graph context and model switching, you can cut that to $2.50 without losing output quality.

Data-driven breakdown of Claude Code pricing: Pro $20, Max $100-200, and API pay-per-token. Which plan costs less depends on your usage and token efficiency.

Why Claude Code feels expensive, what actually drives token usage, and concrete steps (with numbers) to cut your monthly bill by 30–60%.

Team-scale Claude Code costs multiply individual inefficiencies 8-15x. Here's the playbook: shared context engine, standardized CLAUDE.md, per-developer keys, and the actual ROI math.

A reproducible framework for benchmarking AI coding context engines across codebases, tasks, and session lengths, with vexp vs manual context as a worked example.

Most AI coding benchmarks are demos, not data. Here's the rigorous methodology for measuring AI coding tool performance with reproducible, defensible results.

65-80% of input tokens in typical Claude Code sessions are irrelevant. Here's where they come from, how to measure them, and how to eliminate them.