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Guides on software development costs — pricing breakdowns, budget planning, and what drives cost variance across custom builds, SaaS products, and offshore teams.
6 posts
Model routing sends different AI tasks to different model tiers based on complexity and cost. It's the single most impactful cost-reduction pattern in production AI systems. Most outsourced builds skip it because it's harder to architect than wiring everything to one model. The result: systems that cost 10-20x more than they need to.
The choice between fine-tuning a smaller model and engineering better prompts for a larger one determines whether your AI system costs $500/month or $15,000/month in production. Most outsourced development teams default to the expensive model with basic prompts because fine-tuning requires production ML expertise they don't have.
Claude Opus costs $15 per million input tokens. Haiku costs $0.25. For extraction, classification, and parsing tasks, Haiku matches Opus on accuracy. If your development team used Opus for everything, they didn't make an engineering decision — they skipped one.
Most AI systems in production cost 5-10x more than they need to — not because AI is expensive, but because the development team architected the system wrong. They used one expensive model for every task instead of routing tasks to the right model. That's not an AI cost problem. That's an engineering problem.
Build custom software when your process IS your competitive advantage and no SaaS tool models it correctly. Buy when the workflow is standard and the tool's assumptions match yours. Here's the framework that makes the decision clear.
Custom software development costs $50,000–$500,000 in 2026 depending on project complexity, team location, and AI requirements. This breakdown covers real pricing by project type — CRM, marketplace, ERP, eCommerce — with the variables that move the number.
