Run LLMs for pennies: Cost and ROI Calculator

Model your monthly inference spend, then see what routing, cascading, quantization and speculative decoding save you, including break-even month and 12-month ROI.

Your workload

Results

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Baseline monthly spend
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Optimized monthly spend
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Monthly savings
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Break-even month
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12-month ROI
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Cost reduction

Sensitivity: savings vs routing split

Assumptions and how to read this

Baseline spend assumes every request hits your premium model. The optimized path routes a share of traffic to a cheaper small model (routing and cascading), and applies an extra efficiency factor to the small-model share for quantization and speculative decoding. The latency budget adds a cascade overhead: some routed requests still escalate to the premium model, which costs extra. Break-even divides one-time implementation cost by monthly savings.

These are illustrative estimates. Real provider pricing changes frequently, varies by context length, region and commitment tier, and quality tradeoffs depend on your evals. Use this to size the opportunity, then validate with your own traffic and a routing experiment.

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