AI Agent Token Cost Calculator

Show HN: AI agent token cost calculator for Codex and Claude Code loops

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What is AI Agent Token Cost Calculator?

The AI Agent Token Cost Calculator is a browser-based tool from TinyOps Studio designed to estimate monthly AI coding-agent token spend for developers and teams using agent loops like Codex and Claude Code. The calculator helps users input average token volume, run frequency, provider pricing, and avoidable waste factors to compute daily, weekly, and monthly cost estimates.

Key features include separate input and output token pricing to model different provider billing rates, a waste slider that accounts for repeated logs, uncapped commands, stale scans, and avoidable context usage, and instant browser-based calculations that preserve privacy when entering internal usage assumptions. The tool turns vague

AI Agent Token Cost Calculator pricing

Pricing model: Freemium

The calculator is completely free to use with no paid tier mentioned. It runs entirely in the browser with no account signup required. Users manually enter their provider pricing per million input and output tokens, and the tool calculates costs based on their usage inputs.

AI Agent Token Cost Calculator pros

  • Browser-based calculations protect privacy for internal usage data
  • Separates input and output token pricing for accurate provider comparison
  • Waste slider quantifies repeated logs, uncapped commands, and stale scans
  • Turns vague agent overhead into concrete monthly cost estimates
  • Enables repeatable before/after scenario modeling for cleanup decisions
  • Specifically designed for Codex and Claude Code agent loops
  • No account signup or cloud account required to use
  • Instant results update as you type values
  • Helps decide whether workflow cleanup pays back before buying quota
  • Accounts for avoidable context from agents rereading broad context
  • Lightweight audit step before switching providers or buying more tokens
  • Works with any provider pricing you enter manually
  • No SDK or proxy integration needed
  • Free to use with no paid tier mentioned
  • Stable URL for bookmarking and sharing scenarios

AI Agent Token Cost Calculator cons

  • Depends entirely on user-provided token and pricing inputs for accuracy
  • Not accounting software - estimates may not match actual provider bills
  • Does not automatically track your actual token usage from dashboards
  • Requires manual measurement of token totals from provider dashboard first
  • Early launch with minimal community discussion or validation
  • Does not explain which specific workflow caused waste in your account
  • No export functionality mentioned for saving or sharing scenarios
  • Cached-token discounts must be manually accounted for by user

Frequently asked questions about AI Agent Token Cost Calculator

What is the AI Agent Token Cost Calculator used for?

The calculator estimates monthly AI coding-agent token spend from average token volume, run frequency, provider pricing, and avoidable waste. It is specifically aimed at Codex, Claude Code, and similar agent loops where repeated logs, oversized context reads, and stale scans can quietly raise usage costs.

Which AI agents does this calculator support?

The tool is designed for Codex, Claude Code, and similar coding agent loops. It helps teams estimate token spend for any agent where repeated logs, uncapped commands, stale repository scans, and agents rereading broad context instead of exact files cause waste.

How does the waste slider work?

The waste slider accounts for repeated logs, uncapped command output, stale repository scans, and avoidable context from agents rereading broad context instead of exact files. It turns vague 'agent overhead' into a concrete monthly cost estimate you can use to evaluate cleanup decisions.

Does the calculator track my actual token usage?

No. You must use your provider dashboard for actual token totals and spend, then enter those real input/output rates and run frequency into the calculator. The tool is for modeling scenarios and evaluating cleanup payback, not for accounting or tracking actual usage.

Why does the calculator run in the browser?

Browser-based calculation matters when you are entering internal usage assumptions or provider prices that may be sensitive. Your JSONL and usage data never leave your machine, preserving privacy when modeling cost scenarios for your specific workflow.

How do input and output token pricing differ?

The calculator separates input and output token pricing so teams can model providers with different billing rates instead of using a single blended estimate. Output tokens are typically priced 3-10× higher than input tokens, so keeping responses concise directly reduces costs.

What is the practical value of this calculator?

The practical value is not the exact default number, but the repeatable before/after model for deciding whether cleanup work pays back. You measure one noisy session, fix the operating loop by capping command output and summarizing logs, then rerun to see actual savings for your repo and prompts.

Should I trust the calculator's cost estimates?

Treat the calculator as a planning aid rather than accounting software. Check your provider's current price per million input and output tokens before using the estimate, because model pricing changes and cached-token discounts can materially change the payback. Verify whether your agent framework already summarizes logs or caches context.

What causes avoidable waste in AI agent loops?

Common waste sources include repeated long logs, uncapped command output, stale repository scans, and agents rereading broad context instead of exact files. Fix the operating loop by capping command output, summarizing long logs, keeping durable task state, and making agents read precise files instead of rediscovering the repository.

How do I use this calculator for workflow decisions?

Run one representative coding-agent task, pull token totals from your provider dashboard, then enter the real input/output rates and run frequency into the calculator. If the estimated waste is material, fix the operating loop first. Pair this estimate with workflow automation guides so cleanup decisions become part of the operating process, not a one-off cost panic.

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