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Compare AI model pricing, simulate costs, and get plan recommendations.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "TokenLens MCP Server" yet — see the docs or source repo.
Compare the main pricing plans for GPT, Claude, and Gemini. Organize input/output token costs, monthly fees, and use cases in a table, and identify the best value option.
A clear pricing comparison table with pros, cons, and a recommendation.
Assume our customer support bot handles 500,000 requests per month, with 1,200 input tokens and 400 output tokens per request. Estimate monthly costs across model plans and suggest the lowest-cost mix.
Monthly cost estimates for different model plans and the most cost-efficient deployment recommendation.
Analyze the cost difference between pay-as-you-go and subscription plans across usage levels. Find the monthly request volume where the subscription becomes cheaper and explain why.
A clear break-even analysis with the threshold, cost trend conclusions, and plan advice.
Query normalized usage, cost, and dashboard data across OpenAI and Anthropic.
Detects wasteful AI token usage and warns about verbose, repetitive context.
Route lightweight text tasks to cheaper models and save main-model tokens.
Search live LLM pricing, compare models, and estimate usage costs.
Monitor Claude usage live, predict limits, and control costly AI coding actions.
Monitor local LLM token costs, detect abuse patterns, and expose findings to agents.