Estimates prompt and output-token budget before provider pricing is applied. This is table-stakes input hygiene for all downstream Model Ruler cost calculators.
Formula
estimated_input_tokens = tokenizer_family_estimate(text_bytes); total_planning_tokens = estimated_input_tokens + expected_output_tokens
Primary source register
Tokenizer behavior differs by provider and model. Treat this as a planning estimate and verify exact tokenization with the target provider before contractual commitments.
- https://openai.com/pricing
- https://www.anthropic.com/pricing
- https://platform.claude.com/docs/en/about-claude/pricing
- https://platform.claude.com/docs/en/about-claude/models/overview
- https://cloud.google.com/vertex-ai/generative-ai/pricing
- https://www.together.ai/pricing
- https://replicate.com/pricing
- https://fireworks.ai/pricing
- https://groq.com/pricing
- https://deepinfra.com/pricing
- https://aws.amazon.com/bedrock/pricing/
- https://azure.microsoft.com/pricing/details/cognitive-services/openai-service/
Included assumptions
- text byte count
- tokenizer-family heuristic
- expected output-token reserve
Excluded assumptions
- provider-specific tokenizer edge cases
- cached-token discounts
- system prompts not entered by the user
Architecture-cost audit
Diagnostic output
This tool returns Cost classification, Dominant cost driver, Decision threshold, and Sensitivity. Diagnostic focus: Token budget pressure and downstream provider-cost sensitivity..
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