gpt-4o token calculator

GPT-4o Token Calculator

Token usage is an early indicator of AI spend. Estimate token volume before requests hit production billing.

Track token behavior first, then map usage to request-level and monthly budget impact.

Live model pricing context

Input / 1K

$0.0025

Prompt tokens

Output / 1K

$0.0100

Completion tokens

Input / 1M

$2.5000

Large-volume planning

Catalog models

144

Current pricing catalog size

Proof from the product

Real UI snapshot from AI Cost Board used in production workflows.

Token and request usage analytics in AI Cost Board

Token and request analytics for forecasting and optimization.

When to use this token calculator

  • Prompt reviews before releasing cost-sensitive changes.
  • Token budgeting for RAG prompts and support automation flows.
  • Pre-deployment estimation before enabling budget alerts in production.

What usually increases token costs

  • Prompt templates that grow with conversation history.
  • Large retrieved context blocks in RAG systems.
  • Verbose outputs, retries, and repeated tool-calling loops.

Recommended next steps

  • Estimate prompt tokens with this calculator and map the result to model pricing.
  • Use the related cost page to run request-level and monthly scenarios.
  • Move to dashboard tracking once traffic reaches production usage.
0 / 100,000 chars100,000 chars leftEstimated mode

Estimated Tokens

0

Processed Chars

0

Status

Estimated calculation complete

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If you want ongoing tracking by project/provider, continue in the dashboard.

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Frequently asked questions

How accurate is this GPT-4o token calculator?

The estimate helps compare prompt variants before production rollout. Exact billed totals can vary slightly by provider internals.

How do I convert tokens into dollars?

Use the model-specific cost calculator and pricing snapshots on this site to convert token estimates into request-level spend.

Can I track token usage across teams?

Yes. Route requests through AI Cost Board to monitor token usage and spend per workspace, project, and model.

Related pages

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Move from one-off estimates to project-level cost, token, latency, and error tracking with alerts.

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