AI 价格计算器

v1.0.0

AI 模型成本优化器 - 自动计算 API 费用,推荐最优模型,对比 DeepSeek/智谱/通义/GPT 成本。省钱必备工具。

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Install

OpenClaw Prompt Flow

Install with OpenClaw

Best for remote or guided setup. Copy the exact prompt, then paste it into OpenClaw for yang1002378395-cmyk/ai-pricing-calculator.

Previewing Install & Setup.
Prompt PreviewInstall & Setup
Install the skill "AI 价格计算器" (yang1002378395-cmyk/ai-pricing-calculator) from ClawHub.
Skill page: https://clawhub.ai/yang1002378395-cmyk/ai-pricing-calculator
Keep the work scoped to this skill only.
After install, inspect the skill metadata and help me finish setup.
Use only the metadata you can verify from ClawHub; do not invent missing requirements.
Ask before making any broader environment changes.

Command Line

CLI Commands

Use the direct CLI path if you want to install manually and keep every step visible.

OpenClaw CLI

Bare skill slug

openclaw skills install ai-pricing-calculator

ClawHub CLI

Package manager switcher

npx clawhub@latest install ai-pricing-calculator
Security Scan
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Purpose & Capability
Name/description (AI pricing calculator) match the included JS files (calculate/compare/recommend) and SKILL.md. No unrelated env vars, binaries, or config paths are required by the code. The asset footprint is proportionate to the stated purpose.
Instruction Scope
SKILL.md instructs running the included node scripts and optionally editing ~/.openclaw/config.json or exporting DEFAULT_MODEL_PROVIDER/DEFAULT_MODEL_ID. Those actions are consistent with configuring which model to use. It also suggests installing an external helper (npx clawhub / openclaw-cn-installer) — that step would execute external code and is outside the skill's own files, so treat that as a separate trust decision.
Install Mechanism
No install spec is provided by the registry; the skill is instruction + local JS files that run with node. The README suggests using npx clawhub to install a separate installer, but the skill itself does not download remote artifacts or run network calls in its code. This is low risk relative to the stated function.
Credentials
The skill requires no environment variables or credentials. SKILL.md mentions optional environment variables (DEFAULT_MODEL_PROVIDER/DEFAULT_MODEL_ID) for configuration, which are reasonable and not sensitive. The JS code does not read other env vars or secret files.
Persistence & Privilege
always:false and normal user-invocable/autonomous invocation defaults. The skill does not request persistent elevated privileges nor modify other skills; it only suggests (user-run) edits to a local config file. No concerning persistent privileges are requested.
Assessment
This skill appears coherent and runs only local calculations (no network calls, no secrets). Before installing or running: 1) review the repository URL in package.json (https://github.com/openclaw-cn/ai-cost-optimizer) yourself if you plan to run npx or fetch remote installers; running npx/clawhub or the suggested openclaw-cn-installer will execute external code and is a separate trust decision, 2) editing ~/.openclaw/config.json or exporting DEFAULT_MODEL_PROVIDER/DEFAULT_MODEL_ID is optional and only changes which provider your OpenClaw setup will use, 3) the price numbers are static estimates — verify against official provider pricing before acting on large savings claims. If you want, I can fetch and show the package.json repo or summarize any external installer referenced so you can decide whether to run it.

Like a lobster shell, security has layers — review code before you run it.

calculatorvk9762gbn7hdt1gz31zcedx6ad5836myecostvk9762gbn7hdt1gz31zcedx6ad5836myedeepseekvk9762gbn7hdt1gz31zcedx6ad5836myelatestvk9762gbn7hdt1gz31zcedx6ad5836mye
160downloads
0stars
1versions
Updated 1mo ago
v1.0.0
MIT-0

AI 成本优化器

智能对比 AI 模型 API 成本,推荐最优模型,帮你省 90%+ API 费用。

功能

  • 💰 成本计算 - 实时计算不同模型的 API 费用
  • 📊 价格对比 - 一键对比 10+ 主流模型
  • 🎯 智能推荐 - 根据场景推荐最优模型
  • 📈 费用预估 - 预估使用 10 万 tokens 花多少钱
  • 💡 省钱建议 - 告诉你如何优化成本

安装

npx clawhub@latest install ai-cost-optimizer

使用方法

1. 对比模型价格

node ~/.openclaw/skills/ai-cost-optimizer/compare.js

输出示例:

📊 AI 模型价格对比
┌─────────────┬──────────┬──────────┬─────────────┐
│ 模型        │ 输入     │ 输出     │ 每10万tokens │
├─────────────┼──────────┼──────────┼─────────────┤
│ DeepSeek V3 │ ¥0.27/M  │ ¥1.08/M  │ ¥1.35      │
│ 智谱 GLM-4  │ ¥0.10/M  │ ¥0.10/M  │ ¥0.50      │
│ 通义千问    │ ¥0.30/M  │ ¥0.60/M  │ ¥1.80      │
│ GPT-4o      │ ¥35/M    │ ¥105/M   │ ¥140       │
│ Claude 3.5  │ ¥17.50/M │ ¥52.50/M │ ¥70        │
└─────────────┴──────────┴──────────┴─────────────┘

💡 推荐选择:
   日常使用 → DeepSeek V3(省 99% 费用)
   中文内容 → 智谱 GLM-4(省 99.5% 费用)
   复杂推理 → Claude 3.5(省 50% 费用)

2. 计算使用费用

# 计算特定模型的费用
node ~/.openclaw/skills/ai-cost-optimizer/calculate.js deepseek 500000

# 输出:使用 50 万 tokens 花费 ¥6.75

# 交互式计算
node ~/.openclaw/skills/ai-cost-optimizer/calculate.js

3. 智能推荐

node ~/.openclaw/skills/ai-cost-optimizer/recommend.js

会询问你的使用场景,然后推荐最优模型:

❓ 主要用途?
  1. 日常对话/写作
  2. 编程/代码生成
  3. 中文内容创作
  4. 复杂推理/分析
  5. 多模态(图文)

❓ 每天大约调用次数?
  1. < 100 次
  2. 100-1000 次
  3. 1000-10000 次
  4. > 10000 次

💡 推荐:DeepSeek V3
   - 性价比最高
   - 预估每月费用:¥27(1000次/天)
   - 同等使用 GPT-4o:¥2800(省 99%)

4. 生成成本报告

node ~/.openclaw/skills/ai-cost-optimizer/report.js --model deepseek --tokens 1000000

生成详细成本分析报告:

  • 各模型费用对比
  • 省钱潜力分析
  • 使用建议

支持的模型

模型输入价格输出价格推荐场景
DeepSeek V3¥0.27/M¥1.08/M日常对话、编程、写作
DeepSeek Coder¥0.27/M¥1.08/M代码生成、代码审查
智谱 GLM-4¥0.10/M¥0.10/M中文内容创作
智谱 GLM-3-Turbo¥0.05/M¥0.05/M高频调用
通义千问 Plus¥0.30/M¥0.60/M多模态任务
通义千问 Turbo¥0.10/M¥0.10/M快速响应
GPT-4o¥35/M¥105/M复杂推理(企业级)
GPT-4o-mini¥3.50/M¥10.50/M中等任务
Claude 3.5 Sonnet¥17.50/M¥52.50/M长文本、代码
Claude 3.5 Haiku¥0.18/M¥0.54/M快速对话

省钱案例

案例 1:个人开发者

  • 使用场景:每天 AI 写代码 + 写博客
  • 原方案:GPT-4o,每月 100 万 tokens → ¥1400
  • 优化后:DeepSeek V3,每月 100 万 tokens → ¥13.5
  • 节省¥1386.5/月(99%)

案例 2:初创公司

  • 使用场景:客服 Bot,每月 5000 万 tokens
  • 原方案:GPT-4o-mini → ¥17500/月
  • 优化后:DeepSeek V3 → ¥675/月
  • 节省¥16825/月(96%)

案例 3:中文内容团队

  • 使用场景:写文章、营销文案,每月 3000 万 tokens
  • 原方案:GPT-4o → ¥42000/月
  • 优化后:智谱 GLM-4 + DeepSeek 组合 → ¥450/月
  • 节省¥41550/月(99%)

混合策略(最优解)

根据不同任务使用不同模型:

任务类型推荐模型原因
简单对话DeepSeek V3便宜
代码生成DeepSeek Coder代码能力强
中文写作智谱 GLM-4中文能力强
复杂推理Claude 3.5推理强
多模态通义千问 Plus图文处理

预期节省:50-99%(根据任务分布)

价格数据来源

注意:价格可能变动,以官方为准。

常见问题

Q: DeepSeek 和 GPT-4 差多少?

A: 日常任务(写作、编程、问答)几乎没差。复杂推理(数学证明、多步逻辑)GPT-4 略好,但贵 100 倍。

Q: 可以混用多个模型吗?

A: 可以!推荐策略:

  • 80% 用 DeepSeek/智谱(便宜)
  • 20% 用 GPT/Claude(复杂任务)
  • 预期节省 70-80%

Q: 如何切换模型?

A: 编辑 ~/.openclaw/config.json

{
  "model": {
    "provider": "deepseek",
    "model": "deepseek-chat"
  }
}

Q: 这些价格准确吗?

A: 官方价格,2026-03 更新。价格可能变动,请以官方为准。

配置 OpenClaw 使用不同模型

方式 1:配置文件

编辑 ~/.openclaw/config.json

{
  "model": {
    "provider": "deepseek",
    "model": "deepseek-chat"
  }
}

方式 2:环境变量

export DEFAULT_MODEL_PROVIDER=deepseek
export DEFAULT_MODEL_ID=deepseek-chat

方式 3:使用 openclaw-cn-installer

npx clawhub@latest install openclaw-cn-installer
node ~/.openclaw/skills/openclaw-cn-installer/setup-ai.js deepseek

相关资源

License

MIT

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