DeepSeek updated their R1 thinking model

https://api-docs.deepseek.com/news/news250528
Besides reducing hallucinations and improving speed, they added function calling and JSON output. The model is open-source and according to their measurements, works at the level of top closed models.

In addition, they improved the quality of front-end generation - now the code is even better. Examples are in the video, especially the ball physics:

https://www.youtube.com/watch?v=lWd1UFtbSZ0

I haven't seen testing yet on how well it will work as a background agent, but I think this is still a model for pair programming.

The API price is the same and there are still discounts at night (China time). In the web version https://chat.deepseek.com/ usage is free, but this is the only SOTA model that currently doesn't have a canvas interface in the chat. By the way, they finally added the option in settings ("Improve the model for everyone") to disable data collection for training their models.

It can also be used hosted by third-party providers:
https://openrouter.ai/deepseek/deepseek-r1-0528
https://openrouter.ai/deepseek/deepseek-r1-0528:free from https://chutes.ai/tos

#newllmmodel