Abhyudaya Softech
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Model Routing Architecture: Cutting LLM Costs 40–80% Without Breaking Quality

A system-design guide to routing: task classification, fallback ladders, caching, eval-driven thresholds, and governance.

Brief

Search intent

Informational / solution-oriented

Target audience

CTOs, Product leaders, Platform teams

Estimated difficulty

Medium–High

Funnel stage

Consideration

Meta title

Model Routing: Cost Optimization Without Quality Loss

Meta description

A system-design guide to routing: task classification, fallback ladders, caching, eval-driven thresholds, and governance.

URL

/insights/model-routing-architecture-cost-quality

External references

  • Production agentic architecture discussions highlighting routing as a core pattern

Suggested graphics

  • Router decision tree
  • Fallback ladder diagram
  • Cost-per-request decomposition

FAQ

  • What signals should a router use (heuristics vs LLM classifier vs embeddings)?
  • How do you prevent cheap model drift in production?
  • How do you evaluate routing policies?

CTA

This is a brief/stub page (not a full article yet). If you want these expanded into authoritative articles, we can turn each brief into a publish-ready piece with diagrams + examples.

Optimize your AI cost-per-request