DeepSeek released their final V2 series model today, DeepSeek-V2.5-1210, marking the end of an impressive run. The most notable addition is real-time internet search capability, accessible through their web interface at chat.deepseek.com.
The model raises performance across math, coding, writing, and roleplay tasks. Having tested earlier versions of DeepSeek extensively for a previous article (https://adam.holter.com/november-ai-news-recap-geospy-deepseek-and-more/), I can confirm their consistent improvement trajectory.
For developers, the model is available open-source on Hugging Face. The API follows OpenAI’s format, making it simple to integrate into existing applications.
Benchmark results show DeepSeek-V2.5 achieving 72.9% accuracy in code editing and 97.7% in code refactoring according to Aider LLM Leaderboards. These numbers put it near the top of current open models.
The addition of internet search is particularly interesting given the recent trend of AI companies adding real-time capabilities. This appears to be DeepSeek’s answer to Claude’s browsing and GPT-4’s web access.
With the V2 series now complete, I expect DeepSeek will focus on improving their infrastructure and API services before launching their next major model update. The progress they’ve shown with the V2 series suggests they’ll continue pushing technical boundaries while maintaining their commitment to open source.
