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Model Ruler — AI Cost Calculators

Deterministic AI/LLM cost calculators with one-command setup across major agent clients.

First seen 6 Oct 2026. Evidence as of 6 Oct 2026.

12
Tools
From an anonymous probe
1
Source listings
Each with its own history
3
Recorded changes
Since first seen

Tools

ToolDescriptionBehaviour
agent-loop-cost-calculatorUse when a user is running multi-step LLM agents and needs cost per successful task. Accounts for failure overhead and context growth across turns.Not declared
agent-workflow-cost-calculatorUse when a user needs to estimate automation-platform cost for an agent workflow, including app-action fan-out and MCP tool-call accounting, separate from LLM token spend.Not declared
automation-cost-calculatorUse when a user needs to compare workflow automation platform cost across Zapier task billing, Make credit billing, and n8n execution billing for a recurring workflow shape.Not declared
context-window-plannerUse when a user needs to know whether a document plus prompt plus output fits within a model's context window, or wants a strategy recommendation (truncate/summarize/rag/chunk).Not declared
eval-cost-calculatorUse when a user needs to budget an LLM evaluation run. Given samples/models/trials, returns total cost, per-run cost, and parallel time estimate.Not declared
fine-tune-roi-calculatorUse when a user is considering fine-tuning vs prompt engineering. Returns training cost, monthly inference savings, months-to-ROI, and breakeven volume.Not declared
observability-cost-calculatorUse when a user needs to budget LLM observability tooling. Returns monthly cost at given request volume with retention adjustment.Not declared
provider-cost-calculatorUse when a user asks what an LLM workload costs on a specific provider/model, or wants to compare cost across providers. Given tokens per call and call volume, returns monthly cost plus a tier comparison table.Not declared
quantization-calculatorUse when a user is planning to quantize an LLM to fit on smaller hardware. Given parameter count and precision transition, returns VRAM requirement, speedup estimate, and approximate quality delta.Not declared
rag-pipeline-cost-calculatorUse when a user needs end-to-end RAG cost estimation (embedding + vector store + generation). Returns monthly cost with breakdown and dominant-component identification.Not declared
self-host-breakeven-calculatorUse when a user is deciding between API usage and self-hosted GPU inference at a given volume. Returns breakeven token volume, monthly cost comparison, and go/no-go recommendation.Not declared
token-counterUse when a user asks how many tokens a given text will consume, or needs to estimate prompt size before pricing a workload. Given text and tokenizer family, returns low/high token range and byte-level measurements.Not declared

Change history

  1. Website changed from "https://modelruler.dev" to "https://modelruler.dev/install/?source=official_registry" (registry)
  2. Description changed (registry)
  3. Listed (registry)
Source listings
SourceListingFirst seenLast seenVersions
Official MCP Registryio.github.helphub369/model-ruler6 Oct 20266 Oct 20262