Prompt Cost Calculator

Estimate AI prompt costs before you run them.

Paste a prompt and get automatic token estimates plus a curated model cost comparison across major AI providers before you run the request.

Estimator highlights

Instant planning

Preview token and cost direction before a live API run.

Model comparison

Scan likely OpenAI, Claude, Gemini, DeepSeek, Mistral, and xAI costs in one view.

Token ranges

Use likely ranges instead of relying on one brittle number.

Efficiency signals

Spot when a tighter prompt or smaller model may be enough.

Max 1 MB

Your prompt is processed locally in your browser. This MVP does not send your prompt to a server. Uploaded text files are also processed locally. This app may collect anonymous usage metrics such as prompt length buckets and selected scenario, but never prompt text or uploaded file contents.

Live estimate updates as you type.0 characters

Automatic output estimate

Prompt-aware heuristic

Confidence highStrong match

Detected task type

Unknown

Base estimated output

0 tokens

Why this estimate: Add a prompt to infer a likely output estimate and task pattern.

Complex or mixed prompts may produce broader estimates.

Scenario impact

Directional only

Agent Workflow

Added input context

+0

Added output

+180

Overall confidence low

Agent workflows often add tool schemas, intermediate reasoning, retries, and multi-step context, so this scenario adds broader overhead and uses lower confidence.

Tool calls and multi-step orchestration can expand both input and output usage beyond a single direct prompt.

Advanced estimationSome

Stable / repeated context

Use this when a large prompt prefix, repo context, or long chat history is likely to be reused across requests.

Apply a small directional input-cost reduction for reused system prompts, repo context, or recurring history.

Directional only. This adjusts effective input-cost interpretation for some workflows and providers, but it does not change the raw token counts shown above.

Input Tokens

0

Likely range 0-0 tokens.

Estimated Output Tokens

180

Automatic base 0 + scenario output 180. Likely range 90-270 tokens.

Total Tokens

180

Used to size the current comparison scenario below for the agent workflow workflow.

Confidence lowRepeated context SomeMethod heuristicEmpty prompt, so the token estimate is exactly zero.

Stable/repeated context may reduce real-world input cost for some providers and workflows.

Repeated context assumptions slightly reduce effective input-cost uncertainty without changing raw token counts.

New to tokens? Learn how AI tokens work.

How estimates work

Token counts are heuristic estimates unless a provider-specific tokenizer is added later.

The displayed range is an uncertainty band, not a measured accuracy percentage.

Actual usage can vary because providers tokenize differently, and real requests may include hidden system prompts, conversation history, file or code context, tool calls, reasoning tokens, and different output lengths.

Cost rankings are based on the current estimated token scenario and should be treated as directional.

Want the full methodology? Read how Prompt Cost Calculator works.

See real-world AI workflow cost examples.

Model Costs

Model cost comparison

Compare estimated costs for the current prompt, output estimate, and usage scenario. Decision badges call out the cheapest, best value, and highest-cost options.

Providers6
Models16
Prompt statusWaitingPaste a prompt to generate cost estimates.

Estimates are based on publicly available pricing. Always verify costs with official provider documentation before production use.

Paste a prompt above to see estimated model costs.

Subscription Impact

Subscription plans

See how demanding this prompt scenario may feel inside subscription products using simple sample thresholds rather than token-billing math.

Providers5
Plans7
Prompt statusWaitingPaste a prompt to see plan impact.
Subscription impact estimates are approximate because most providers do not publish exact token allowances.

Paste a prompt above to see estimated subscription impact.

Coding Agent Impact

Coding agent impact

Coding agents can use more than the pasted prompt because they may include repo context, tool calls, terminal output, file edits, and multi-step loops.

Providers4
Agents4
Prompt statusWaitingPaste a prompt to see coding agent impact.
Coding-agent estimates are directional. Real usage can include repo context, file reads, terminal output, tool calls, retries, and multi-step loops that are not visible in the pasted prompt.

Need more context? Learn how coding-agent credits work.

Paste a prompt above to see estimated coding agent impact.

Estimator Method

How it works

AI models process prompts and responses as tokens, so the total size of what you send and what you expect back is what drives the usage estimate.

Costs can vary widely because providers charge different input and output token rates. This tool estimates likely token usage and compares model costs before you run a prompt.

Step 1

Estimate prompt tokens

Step 2

Infer likely output

Step 3

Compare scenario-adjusted costs

Why It Matters

Why estimate cost?

A quick estimate helps you plan usage, compare options, and make smarter tradeoffs before a prompt reaches production.

  • 1Avoid unexpected API costs
  • 2Compare AI models before choosing one
  • 3Optimize prompts for efficiency