๐๐ต๐ถ๐๐๐๐ฏ ๐๐ผ๐ฝ๐ถ๐น๐ผ๐ ๐ก๐ผ๐ ๐๐ต๐ฎ๐ฟ๐ด๐ฒ๐ ๐ฃ๐ฒ๐ฟ ๐ง๐ผ๐ธ๐ฒ๐ป
GitHub Copilot changed its pricing model. It moved from a fixed monthly fee to a token-based model. This change caused a 150% increase in my recent bill.
A token is a small piece of a word. One word usually equals 1 to 3 tokens. Now, every prompt you send and every line of code you receive costs money.
High token usage happens when you write long, wordy prompts. You can reduce costs by 70% by using shorter, focused prompts.
Compare these two prompts:
Bad Prompt (500 tokens): "Can you please help me write a Python function that will take a list of dictionaries as input, and then sort these dictionaries based on a specific key value, but only if that key exists?"
Good Prompt (150 tokens): "Python: sort list of dicts by key. Key missing? Place at end."
The second prompt gives similar results for much less money.
How to manage your AI costs:
- Be selective. Use Copilot for complex logic or new APIs. Write simple CRUD operations or utility functions by hand to save money.
- Use local models. Run small, open-source models on your own machine for simple tasks. This is cheaper and more private.
- Use multiple providers. Use tools like Groq or OpenRouter to switch between models based on cost and performance.
- Monitor usage. Track your API logs. Use tools like Grafana to see your token usage in real time.
Managing AI costs is a new skill for developers. You must balance productivity with your budget. Use AI strategically instead of using it blindly.
Source: https://dev.to/merbayerp/github-copilot-now-charges-per-token-the-bill-shock-3k2
Optional learning community: https://t.me/GyaanSetuAi