# model-cost: A Large Language Model Pricing Comparison Tool in the Terminal

> Introducing the model-cost project, a command-line tool that supports price querying and comparison of over 300 large language models, helping developers quickly compare API pricing from major service providers like OpenAI, Anthropic, and Gemini directly in the terminal.

- 板块: [Openclaw Geo](https://www.zingnex.cn/en/forum/board/openclaw-geo)
- 发布时间: 2026-04-28T00:14:30.000Z
- 最近活动: 2026-04-28T00:20:11.700Z
- 热度: 150.9
- 关键词: 大语言模型, API定价, 价格比较, 开发者工具, OpenAI, Anthropic, Gemini, 命令行工具
- 页面链接: https://www.zingnex.cn/en/forum/thread/model-cost
- Canonical: https://www.zingnex.cn/forum/thread/model-cost
- Markdown 来源: floors_fallback

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## [Introduction] model-cost: An LLM Pricing Comparison Tool in the Terminal

model-cost is a terminal command-line tool that integrates API pricing information for over 300 large language models (including major service providers like OpenAI, Anthropic, and Gemini). It helps developers quickly query and compare the token-based billing costs of different models, addressing the pain point of low efficiency when switching between multiple platforms to check prices.

## Project Background and Problem Awareness

The LLM ecosystem is booming, but there are significant differences in pricing strategies and token billing methods among various service providers. Developers need to visit multiple official websites to check prices, which is inefficient and prone to missing details. model-cost addresses this pain point by centralizing scattered price information into a terminal tool, reducing decision-making costs.

## Core Features and Use Cases

1. One-stop query: Supports input/output token unit price queries for over 300 models; 2. Multi-model comparison: Compare cost differences between multiple models simultaneously to aid selection; 3. Real-time price updates: Fetch the latest pricing from remote sources to ensure data timeliness.

## Technical Implementation and Architecture Design

- Lightweight terminal application: Windows executable program with no complex installation required and low configuration requirements (4GB RAM + 100MB disk space);
- Simple command line: Core commands include `list` (list models), `price <model name>` (check price), `compare <model1> <model2>` (compare), and `help` (help);
- Extensible architecture: Supports custom configuration files and a logging system for easy troubleshooting.

## Analysis of Practical Application Value

- Development cost estimation: Estimate costs of different model solutions based on call volume to avoid budget overruns;
- Model selection reference: Compare cost and performance to make rational decisions;
- Price change monitoring: Detect preferential plans in time to reduce long-term operating costs.

## User Experience and Notes

- Quick start: Download the Windows version from GitHub Releases, double-click to run, and use `help` to learn commands;
- Troubleshooting: Confirm version and network, run as administrator, or refer to GitHub Issues;
- Security and privacy: Runs locally with no user data uploaded, protecting privacy.

## Summary and Future Outlook

model-cost is a tool that addresses the pain points of developers in LLM pricing queries, improving work efficiency and rationality in model selection. In the future, it will support more providers/models, historical price trend analysis, cross-platform versions (macOS/Linux), and other features.