#DeepSeekv3

Two major players recently dropped new open-source models, but they represent two fundamentally different philosophies. OpenAI, the established leader, returned to the open-source scene with fanfare and its gpt-oss-20b model. Shortly after, the Chinese startup DeepSeek quietly released v3.1. While one was a media event, the other was a single tweet. The initial results from hands-on testing are starkly one-sided. Out-of-the-Box Performance: A Clear Winner When you evaluate a model as a tool to be used right now, the comparison is not even close. Across multiple practical tests, DeepSeek v3.1 consistently delivered superior results: ...

DeepSeek has once again followed its “quiet release” strategy, making its new DeepSeek-V3-0324 model available on Hugging Face without any major announcements. Instead of marketing hype, they’ve simply delivered a solution for the community to evaluate. I tested the model locally on a Mac Studio equipped with an M3 Ultra chip and saw impressive performance, generating over 20 tokens per second. This marks a significant acceleration for running capable models on local hardware, making it a viable option for developers. ...