Cached at:
08/13/26, 03:37 PM
# DeepSeek V4 Pro 0813 (on OpenRouter)
Source: [https://simonwillison.net/2026/Aug/12/deepseek-v4-pro-0813/](https://simonwillison.net/2026/Aug/12/deepseek-v4-pro-0813/)
**[DeepSeek V4 Pro 0813 \(on OpenRouter\)](https://openrouter.ai/deepseek/deepseek-v4-pro-0813)**\. The latest DeepSeek Pro model is now available, via API only\. I had to link to OpenRouter because DeepSeek don't have any obvious announcement page for their new model\.
I haven't been able to confirm if they plan to release the open weights, but given the weights are available for both April's[deepseek\-ai/DeepSeek\-V4\-Pro](https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro)and July's[deepseek\-ai/DeepSeek\-V4\-Flash\-0731](https://huggingface.co/deepseek-ai/DeepSeek-V4-Flash-0731)it seems likely\.
Interestingly I got[*very*different looking pelicans](https://tools.simonwillison.net/markdown-svg-renderer#url=https%3A%2F%2Fgist.github.com%2Fsimonw%2Fc1108a380593547c2def5863bca63160)for the three different reasoning levels of low, medium, and high\. I've not noticed this kind of difference from any other model:
Low:

Medium:

High:

In terms of benchmarks\.\.\. as far as I can tell those were released to the Official DeepSeek WeChat Group, then copied and pasted into[a post on Reddit](https://www.reddit.com/r/LocalLLaMA/comments/1vmi0fg/removed_by_moderator/)which was deleted by the moderators for being "low\-effort", then copied into[this ASCII\-art table on Hacker News](https://news.ycombinator.com/item?id=49274600#49275180)\.