Calculators

This calculator models the financial savings achieved by implementing semantic routing and model fallback architectures. It compares routing all user traffic

This calculator models the relationship between batch size, generation speed, aggregate token throughput, and hosting costs for self-hosted LLM inference.

This calculator compares an all-real-time API bill against a realistic mix where only some jobs can tolerate batch turnaround. Batch endpoints trade latency

This calculator provides actionable insights and metrics for AI Feature Pricing Calculator. Price an AI feature from token COGS, stress-tested against power users.

This planner models API consumption against provider request-per-minute and token-per-minute constraints. It identifies which limit ceiling triggers first

This calculator estimates the total financial cost and sample growth associated with expanding machine learning datasets through automated data augmentation.

This calculator backs out the per-user price you need to charge from your real AI token cost and a target gross margin, then stress-tests that price against

This advisor recommends public benchmarks and private evaluation strategies tailored to specific artificial intelligence use cases. It maps application

This calculator estimates the energy consumption and carbon footprint of AI workloads across inference and model training. It maps raw compute metrics

The same prompt sent to three different language models can cost you five dollars a month on one and six hundred on another, with no change to your code