UK-based independent AI efficiency projectEvidence before claims ยท 2026

Cheaper-Model-First Routing Needs a Quality Gate

A candidate model passes through a task-specific verifier before acceptance or escalation; no price ranking is shown.

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Token Optimisation

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Classification: MODEL ROUTING METHOD. No matched workload test here establishes a cheaper model’s task-quality equivalence or savings.

Cheaper-Model-First Routing Needs a Quality GateROUTING METHOD ยท QUALITY EQUIVALENCE UNMEASURED. CANDIDATE MODEL โ†’ SAME TASK FIXTURE โ†’ QUALITY GATE โ†’ ACCEPT OR ESCALATE. No current matched model-price/quality benchmark supports a cheaper-model winner or savings estimate.ROUTING METHOD ยท QUALITY EQUIVALENCE UNMEASURED1CANDIDATE MODEL2SAME TASK FIXTURE3QUALITY GATE4ACCEPT OR ESCALATEKeep task and verifier fixed ยท Record retries and usage separately
ROUTING METHOD ยท QUALITY EQUIVALENCE UNMEASURED. No current matched model-price/quality benchmark supports a cheaper-model winner or savings estimate.

โ€œUse the cheapest modelโ€ is incomplete advice. The operational goal is the least costly route that still passes the task’s acceptance test, including retries, review and recovery. A lower price per token is not a lower cost per verified result if more attempts or human correction are needed.

Define the quality gate before routing

Describe what a correct result looks like, how it will be checked, and which failures require escalation. A deterministic schema check may be enough for structured extraction; ambiguous synthesis may need a model and a human review. Choose the route based on that requirement, not on brand or headline price alone.

A staged routing pattern

  1. Use deterministic code for exact lookup, validation and arithmetic when rules and source data are known.
  2. Send routine language tasks to the least costly candidate that has evidence for the required quality threshold.
  3. Verify the result; escalate only when a defined check fails or uncertainty exceeds the job limit.
  4. Carry a concise verified summary into the stronger route rather than replaying unrelated context.
  5. Record model, provider, attempts, usage, acceptance and human handling for comparisons.

Compare a common denominator

Test equivalent tasks and the same acceptance rubric over a meaningful window. Include input, cached-input and output pricing as defined by each provider, plus retries and review. The current Context Cost Calculator provides official rates and source links for scenarios, but it does not measure model quality or task equivalence.

Recheck each official source and verification date. The calculator provides dated rate presets; the token-rules builder includes quality-gated escalation. No routing-savings percentage is claimed.