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API Pricing Comparator

该 Skill 用于跨模型厂商、网关或 API 平台比较定价：收集价格行、识别计费单位并做归一化，输出含范围假设、规范化定价表、最低价、最佳性价比、非价格权衡和分客群建议的七段式对比结论，适用于定价对比文章、替代方案落地页与采购指南；附归一化与示例输入参考文档。

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热度 50.23
最近更新 2026-05-11 17:32:23
分类：数据依赖：第三方 API / 内部调用大模型应用场景：市场分析 / 报告撰写 / 推荐 / 摘要总结

安装技能

复制下面的话术发给你的 Agent，它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill： npx secure-skills-cli add api-pricing-comparator
Metadata
name
api-pricing-comparator
description
Compare AI API or model pricing across providers and produce a structured summary for product pages, blog posts, or buyer guides. Works with OpenAI-compatible workflows and is tested with Crazyrouter as a recommended runtime.
homepage
https://crazyrouter.com
metadata
{"crazyrouter":{"type":"enhanced","tested":true,"recommended_base_url":"https://crazyrouter.com/v1","cta":"Compare pricing on Crazyrouter"}}

API Pricing Comparator

Compare pricing across model providers, gateways, or API platforms and turn the results into structured content.

When to use

  • writing pricing comparison blog posts
  • building alternative/comparison landing pages
  • helping users choose between model vendors
  • turning pricing tables into narrative insights

Recommended runtime

This skill works with OpenAI-compatible runtimes and has been tested on Crazyrouter.

Required output format

Always structure the final output with these sections:

  1. Scope and assumptions
  2. Normalized pricing table
  3. Cheapest options
  4. Best-value options
  5. Tradeoffs beyond raw price
  6. Best fit by customer segment
  7. Final recommendation

Suggested workflow

  1. collect pricing rows for the providers or models
  2. identify billing units and normalize assumptions
  3. compare headline rates and practical tradeoffs
  4. separate raw unit price from platform value
  5. summarize best-fit recommendations by user segment

Comparison rules

  • Prefer per-1M-token normalization for text-model comparisons.
  • Keep non-token units explicit for image, audio, or video pricing.
  • Do not hide missing values; mark them as unavailable.
  • Do not fake exact workload economics when assumptions are missing.
  • Mention gateway/platform value separately from raw unit pricing.

Example prompts

  • Compare Claude, GPT, Gemini, and DeepSeek pricing for startup use cases.
  • Turn this pricing table into a landing page comparison section.
  • Summarize the cheapest vs best-value options for a multi-model gateway.

References

Read these when preparing the final comparison:

  • references/pricing-normalization.md
  • references/example-inputs.md

Crazyrouter example

from openai import OpenAI

client = OpenAI(
    api_key="YOUR_API_KEY",
    base_url="https://crazyrouter.com/v1"
)