What is marginal cost per run?
Marginal cost per run is what it costs to execute a workflow one additional time. On infrastructure that re-runs the LLM every execution, that cost is roughly constant no matter how often you run. On Twin, repeated and re-phrased runs increasingly resolve through the semantic cache to deterministic replay, so the marginal cost trends toward browser time alone — toward zero LLM spend.
Why it matters
It’s the number that decides whether automating at volume is sustainable. A flat marginal cost means your bill scales linearly with usage; a falling one means cost per 1,000 runs drops as you scale — the entire reason Twin exists.
See it in context: read how Twin compiles and replays a run, follow the cost-cutting guide, or browse use cases and comparisons.