wzlxp.top builder tools

OpenAI calculator

Price the token path, not just the prompt.

Estimate OpenAI API cost from direct usage tokens or planning text. Results are for planning only; production billing should be verified from OpenAI usage data.

Inputs
Numeric workload is saved locally in this browser for easier comparison. Prompt text is not saved.
Result
$840estimated monthly cost
Per request$0.03
Daily$28.00
Annual$10,080
Monthly calls30,000
Input$0.01
Cached input$0.00
Output$0.02
Batch discount$0.00

High confidence: based on API usage token counts.

Pricing checked 2026-05-09. GPT-5.5: input $5/1M, cached input $0.5/1M, output $30/1M tokens.

Cost insight: the largest cost driver is output tokens. Cutting output tokens by 50% would save about $270 per month.

Estimated planning result only. Prices can change, and provider bills may include taxes, minimums, feature-specific charges, or usage adjustments. Verify production spend in the official provider dashboard.

Try this workload inLLM token calculatorClaudeGeminiDeepSeekRAGAI AgentEmbedding

How to use

How to use this calculator

  1. Choose a model

    Start with the OpenAI model you plan to use, or keep the default if you only need a first budget range.

  2. Enter tokens or prompt text

    Use API log mode when you have token counts. Use planning mode when you only have prompt and expected response text.

  3. Review monthly cost

    Check the breakdown, copy the estimate, and compare with another provider before committing a production budget.

OpenAI cost guide

Separate fresh input, cached input, and output before scaling.

OpenAI pricing is easiest to reason about when you split the request into the parts that are billed differently, then decide whether realtime or Batch API usage fits the workload.

How the estimate works
Fresh input

Prompt, messages, tool definitions, and uncached context are multiplied by the selected model's input price.

Cached input

Reusable prompt prefixes can use cached-input pricing when the API request qualifies, so this calculator keeps those tokens separate.

Output and Batch

Generated response tokens use output pricing. Optional Batch mode applies only to async workloads where a delayed result is acceptable.

Example workloads
Support chatbot

Estimate customer messages, system instructions, expected answer length, and daily conversations to set a monthly support budget.

Batch summarization

Compare realtime and Batch mode for document summarization jobs that do not need an immediate answer.

Coding assistant

Model longer prompts with code context plus higher output tokens before deciding which GPT model tier is realistic.

Cost optimization tips
  • Keep stable system instructions at the front of the prompt if you plan to benefit from cached input.
  • Use Batch for offline jobs instead of adding realtime margin to a workload that can wait.
  • Cap maximum output tokens so runaway answers do not become the largest cost driver.
  • Route simple tasks to cheaper models and reserve premium models for hard prompts.
Common mistakes
  • Blending cached and fresh input into one token field.
  • Assuming words and tokens are identical.
  • Using Batch estimates for user-facing realtime flows.
  • Ignoring actual OpenAI usage logs after launch.

References

Built around official token and price references.

OpenAI API pricing OpenAI Tokenizer OpenAI tiktoken OpenAI Cookbook: counting tokens with tiktoken

FAQ

OpenAI API cost quick answers

What does the OpenAI API cost calculator estimate?

It estimates input token cost, cached input cost, output token cost, optional Batch API discount, and projected daily, monthly, and annual spend.

Does this page count OpenAI tokens exactly?

No. Planning mode uses a transparent estimate. For exact OpenAI token counts, verify with OpenAI Tokenizer, tiktoken, or provider usage data.

Does cached input change OpenAI API cost?

Yes. Cached input can have a different price from fresh input, so the calculator separates cached input tokens from regular input tokens.