API Cost Estimator

General Productivitywhat-are-ai-tokensmodel_nameprompt_templateavg_variable_length

By specifying the exact scale and comparing models, you get actionable cost projections before committing to a pipeline.

Prompt
I'm planning to run the following prompt against {{model_name}} at scale.\n\nPrompt template:\n{{prompt_template}}\n\nEstimated variables per request: {{avg_variable_length}} tokens\nExpected output length: {{expected_output_tokens}} tokens\nTotal requests planned: {{request_count}}\n\nCalculate:\n- Token cost per request (input + output)\n- Total cost for all requests\n- Cost comparison across GPT-4o, Claude Sonnet, and Gemini Flash\n- Recommendations for reducing cost without sacrificing quality

Variables to customize

{{model_name}}{{prompt_template}}{{avg_variable_length}}{{expected_output_tokens}}{{request_count}}

Why this prompt works

By specifying the exact scale and comparing models, you get actionable cost projections before committing to a pipeline.

What you get when you save this prompt

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AI OPTIMIZE

AI Optimization

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VERSION DIFF

Version History

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MCP
$ npm i -g @promptingbox/mcp
Claude · Cursor · ChatGPT

Use Everywhere

Access prompts from Claude, Cursor, ChatGPT & more via MCP integration.

Your prompts, organized

Save, version, and access your best prompts across ChatGPT, Claude, Cursor, and more.