Calculate token costs, optimize pricing strategies, and demonstrate ROI for frontier model providers, API wrappers, and prompt management platforms.
Calculate AI model costs based on token usage
Calculate costs and reliability gains from primary + fallback model strategy
Compare costs between different AI models
Model success-based AI pricing with risk sharing
Calculate per-seat AI licensing and profitability
Compare monthly and annual billing for seat-based AI pricing
Optimize AI costs by matching model capability to task complexity
Calculate token cost savings from caching repeated prompt prefixes
Calculate optimal rate limit tier based on traffic patterns and cost efficiency
Calculate optimal context window size based on token usage and pricing tiers
These calculators are fully brandable and can be embedded on your website to engage visitors, demonstrate value, and generate qualified leads. White-label with your branding, colors, and style.
Book a MeetingThese calculators are fully licensable and can be branded to match your website's design. Companies embed them to engage potential customers, demonstrate product value, and generate qualified leads. Each calculator can be white-labeled with your branding, colors, and style to create a seamless experience on your site.
Calculate projected token costs based on expected usage patterns across different AI models. Factor in input/output token ratios, average prompt sizes, and usage volume to create accurate budget forecasts for AI infrastructure spending.
Evaluate cost differences between GPT-4, Claude, Gemini, and other frontier models. Compare not just per-token pricing but total cost per task including retries, quality differences, and success rates to find the most cost-effective model for your workload.
Model different pricing approaches for your AI product including token-based, seat-based, per-hour, and outcome-based pricing. Calculate margins, customer value, and breakeven points to select the pricing strategy that maximizes profitability while staying competitive.
Quantify savings from implementing prompt caching for repeated prompt prefixes. Calculate cache hit rates, storage costs, and token savings to determine whether prompt caching delivers positive ROI for your specific use case and traffic patterns.
Determine the optimal API rate limit tier based on your traffic patterns and budget. Model peak usage, burst requirements, and cost per tier to select capacity that handles demand spikes without overpaying for unused headroom.
Find the ideal context window size by balancing cost and accuracy. Larger windows improve results but increase token costs significantly. Calculate the optimal size for different task types and pricing tiers to minimize costs while maintaining quality.
AI token costs are calculated by multiplying your total token usage (input + output tokens) by the model's per-token price. Our calculators factor in input/output token ratios, model selection, caching strategies, and usage patterns to give you accurate cost projections for different AI models and use cases.
The best pricing model depends on your use case and customer behavior. Token-based pricing works well for variable workloads, seat-based pricing suits enterprise teams, per-hour pricing fits burst usage, and outcome-based pricing aligns incentives with success metrics. Our pricing strategy calculators help you model different approaches.
Prompt caching can significantly reduce token costs by avoiding repeated processing of common prompt prefixes. Savings depend on your prompt structure, cache hit rate, and model pricing. Our Prompt Caching ROI Calculator models your specific scenario to quantify potential savings.
Compare AI models by calculating total cost per task, factoring in: per-token pricing, typical input/output token counts, task success rates, and required retries. Our AI Model Comparison Calculator helps you evaluate models side-by-side to find the most cost-effective option for your workload.
Token usage is affected by: prompt length, context window size, response length, system messages, conversation history, and tool-calling overhead. Optimization strategies include prompt compression, context pruning, caching, and selecting appropriate context window sizes for each use case.
Optimize context window size by balancing cost and performance. Larger windows improve accuracy but increase token costs. Our Context Window Optimization Calculator helps you find the optimal size by analyzing task requirements, pricing tiers, and success rate tradeoffs.
Multi-model fallback strategies improve reliability by using a backup model when the primary model fails or hits rate limits. This adds complexity and cost but reduces downtime. Our Multi-Model Fallback Calculator helps you model the cost-benefit tradeoff for your specific reliability requirements.
Plan for API rate limits by analyzing your traffic patterns, peak usage, burst requirements, and cost per tier. Our API Rate Limit Capacity Planning Calculator helps you select the optimal rate limit tier to balance cost efficiency with performance headroom for traffic spikes.
Yes! All calculators are fully licensable and can be white-labeled with your branding. Companies embed them to engage visitors, demonstrate ROI, and capture qualified leads. We customize colors, fonts, logic, and styling to match your website perfectly. Book a meeting to discuss licensing and pricing.