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token-cost-estimator

Calculate token usage and API costs for Claude models.

Updated Jan 17, 2026
Search Tags:#prompt optimization#context window#cost estimation#claude api#api pricing#token count
One-click install
npx skills add https://github.com/saddam-eng-tech/ai-agent-skills --skill token-cost-estimator
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: token-cost-estimator
Source: https://github.com/saddam-eng-tech/ai-agent-skills/tree/main/token-cost-estimator
Command: npx skills add https://github.com/saddam-eng-tech/ai-agent-skills --skill token-cost-estimator

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps users understand and manage the token usage and associated API costs for their interactions with Claude models, preventing unexpected expenses and ensuring efficient use of the context window.

Core Features & Use Cases

  • Token Calculation: Breaks down prompts, conversation history, and other inputs into estimated token counts.
  • Cost Estimation: Calculates the API cost based on token usage and selected Claude model pricing.
  • Context Window Analysis: Flags potential issues if token usage approaches or exceeds model limits.
  • Optimization Suggestions: Provides actionable advice to reduce costs and token usage, such as prompt caching or model downgrading.
  • Use Case: Before sending a large document for summarization or a complex multi-turn conversation, use this Skill to get an estimate of the token count and cost, and receive suggestions on how to optimize it.

Quick Start

Estimate the token cost for a prompt intended for the claude-3-5-sonnet model, expecting a paragraph-length response.

Frequently Asked Questions about token-cost-estimator

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I estimate Claude API costs and token counts for a prompt?▼

Calculate API costs by analyzing prompt structure, context size, and expected output length. This evaluates token usage against model context window limits to project expenses and suggest optimizations.

What is the best way to reduce Claude API token usage and pricing?▼

Reduce API token usage by applying prompt optimization techniques like caching or model downgrading. Analyzing context window usage provides actionable advice to cut costs and eliminate unnecessary tokens.

Can I check if my conversation history exceeds Claude context window limits?▼

Yes, you can check if conversation history exceeds context window limits by flagging potential issues. The analysis warns you when token usage approaches or exceeds model limits to prevent API failures.

Does this token cost estimation work for multi-turn conversations and large document inputs?▼

Token cost estimation works for multi-turn conversations and large document inputs by breaking down prompts and conversation history into estimated token counts. This ensures efficient context window usage before sending data.

Why do I need to understand tokenization rules for Claude API pricing?▼

Understanding tokenization rules is required because API pricing is calculated based on token usage for specific Claude models. This knowledge ensures precise cost estimation and effective context window management.

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