DeepSeek V4 + Claude Code: Poder do Claude por CENTAVOS!
Introduction to Free Cloud Code and Deep Seek
Overview of the Video
- The video introduces the concept of using Free Cloud Code, a cost-effective tool for accessing the Cloud ecosystem with minimal expenses.
- It highlights that Deep Seek is 17 to 28 times cheaper than traditional Cloud Code, allowing unlimited usage without time restrictions.
- The presenter, Jonathan, plans to compare real-world use cases between pure Cloud Code and Deep Seek V4 Pro across two different projects: a website and code project.
Community and Resources
- Jonathan invites viewers to join his closed community for learning automation from beginner to advanced levels, providing links in the description.
- He explains that the tool routes requests within Cloud Code to various APIs or locations, specifically focusing on Deep Seek due to its affordability and quality.
Cost Comparison Between Deep Seek and Cloud Code
Pricing Insights
- Accessing models through traditional methods can be expensive (e.g., $25 per million tokens for Opus), while Deep Seek costs only $0.87 per million tokens.
- This results in an approximate savings of 28 times when using Deep Seek compared to standard pricing models like Sonet.
Setting Up Free Cloud Code
Installation Steps
- Viewers are guided on downloading necessary files from a repository; instructions are provided for both Windows and Mac/Linux users.
- For Windows users, commands must be executed in the terminal after installation; Python installation is also discussed as a prerequisite.
Configuring Environment Variables
Configuration Process
- Users need to create an environment file (.env), which involves renaming an example file found in the downloaded folder.
- Opening this file in VS Code is essential for adding specific configurations required for using Deep Seek effectively.
Obtaining API Keys
API Key Setup
- To utilize Deep Seek, users must acquire an API key by creating one on the official site after adding credits (e.g., starting with $2).
- The presenter demonstrates how to input this key into their configuration settings alongside selecting which model of Deep Seek will be used.
Running Local Servers
Server Execution Instructions
- Users are instructed on running a local server for Free Cloud Code; this allows routing requests through it effectively.
- A command line is provided for starting the server locally; successful execution confirms that everything is set up correctly.
Testing Models with Requests
Model Testing Procedure
- After setting up servers, users can test various models available through both platforms by executing specific commands in VS Code's terminal.
Comparing Outputs: Website Creation
Project Outcomes
- Jonathan tests both platforms by creating websites based on detailed prompts; he tracks timing and resource consumption during these processes.
Resource Consumption Analysis
Efficiency Evaluation
Both platforms complete tasks within similar time frames but show significant differences in resource usage—Deep Seek being much more economical at just $0.01 compared to higher costs associated with Cloud Code.
Final Results Comparison
Conclusion of Tests
- The final analysis shows that while performance may vary slightly between outputs from each platform, cost efficiency heavily favors using Deep Seek over traditional methods.
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