DeepSeek-V3 (Free API) + Cline & Aider - This is The BEST AI Coding Setup Right Now! (Beats Cursor!)
AI Summary
Summary of DeepSeek V3 Video
- Introduction to DeepSeek V3:
- DeepSeek V3 is a 671 billion parameter AI model.
- It uses a mixture of experts architecture, with 37 billion activated parameters per expert.
- Trained on 15 trillion tokens, it is open-source with a lenient license for commercial use.
- Performance and Features:
- Outperforms or matches Sonnet in most benchmarks.
- Based on DeepSeek V2 architecture with multi-token prediction for faster inference.
- Post-trained on distilled knowledge from the R1 model for complex tasks.
- Technical paper details the $5.5 million training cost.
- Availability and Pricing:
- Available on Hugging Face, requires substantial hardware.
- Free to use on the DeepSeek chat platform with no limits.
- API costs (as of the video’s date):
- 0.14 without caching per 1 million input tokens.
- $0.28 per 1 million output tokens until February 8th.
- After February 8th, 0.27 without caching per 1 million input tokens, and $1.10 per 1 million output tokens.
- Cheaper than Sonnet and Haiku, with similar or better performance.
- Using DeepSeek V3 with Cline and Ader:
- Cline: Upgrade and set to use the open AI compatible API with the base URL for DeepSeek or Hyperbolic.
- Ader: Export the DeepSeek API key and use it by running with the DeepSeek model.
- The model is fast, efficient, and produces fewer errors in code.
- Conclusion:
- DeepSeek V3 is considered a more cost-effective alternative to Sonnet.
- It is praised for its value and performance, especially when used with Klein and Ader.
(Note: No detailed instructions such as CLI commands, website URLs, or tips were provided in the text for extraction.)