AI Model Routing & Fallback Simulator
Compare single-model inference with a cheaper first-pass model, complex-task routing and fallback retries.
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What decision does this help answer?
Can a two-model route reduce cost while maintaining enough successful outcomes?
Calculation and methodology
Assign a share of requests directly to a stronger model and send the remainder to a smaller model first. If the small-model attempt fails, optionally invoke the stronger model on a user-defined fraction of failures. Calculate expected per-request cost and success probability under independent outcomes. Show a baseline using the stronger model for every request.
Limitations and responsible interpretation
Model success rates must come from evaluations on the same task mix. The tool does not validate model capabilities, dynamic routing errors, tail latency or correlated failure modes. Cross-model fallback can change quality and user experience; estimates are not performance benchmarks.
Research and supporting guidance
This planning tool complements Ninth Post's related AI product analysis. Consult the underlying technical guidance or official framework where applicable, and see our editorial methods. The tool does not independently validate submitted assumptions, current vendor prices or legal obligations.