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Cost engineering2026-07-128 min read

The model combinations that lower cost without lowering the bar

A role-based routing playbook for search, implementation, review, and architecture work—with the assumptions behind every savings estimate.

Model mixSavingsBenchmarks
A luminous request signal splitting across model lanes and selecting an efficient route
mix / measure / save

The cheapest model is not the right model for every task. The durable cost win comes from matching model capability to the job, then keeping a reliable fallback one step down. Policate treats that as a policy-owned model mix rather than a hard-coded provider preference.

The combinations below are starting points, not universal rankings. Provider catalogs, regions, prompt shape, cache hit rate, and output length change the result. Use them as a hypothesis, then validate with the request traces and prices in your organization’s dashboard.

An abstract model router selecting an efficient lane from three candidate models.
A route should optimize the whole request: capability, cost, latency, health, and policy.

A practical four-lane model mix

Start with four task classes. The primary model handles the common case; the fallback protects quality when the task is harder, the provider is unhealthy, or the policy rejects the first candidate.

Illustrative model combinations and savings per 1,000 requests
Task classPrimaryFallbackWhy this mixExample / 1k requestsIllustrative saving
Search and triageClaude Haiku 4.5GPT-4o MiniHigh-volume, low-latency classification and repository navigation$1–3 / 1k requests80–92%
ImplementationClaude Sonnet 4.6Claude Haiku 4.5Strong coding quality with a fast retry path$8–11 / 1k requests35–65%
Review and testsClaude Sonnet 4.6GPT-4o MiniReasoning depth where regressions are expensive$5–9 / 1k requests30–60%
Architecture and migrationClaude Opus 4.8Claude Sonnet 4.6Reserve the premium lane for high-context decisions$20–28 / 1k requests10–35%

The savings equation

Imagine 10,000 monthly requests. If every request costs $0.008, the baseline is $80. A simple mix—7,000 search requests at $0.001, 2,500 implementation/review requests at $0.008, and 500 architecture requests at $0.024—costs about $39.00 before cache hits. That is roughly 51% below the single-premium baseline while keeping a premium lane for the work that benefits from it.

If an 18% exact-cache hit rate removes provider calls evenly, the same illustrative mix falls to about $31.98. The dashboard should show the observed number, not hide the assumption: route savings, exact-cache savings, and budget protection are separate effects.

Check the observed spend
$ policate budget status