# DeepSeek V4 Pro 0813 (on OpenRouter)

> Source: <https://simonwillison.net/2026/Aug/12/deepseek-v4-pro-0813/>
> Published: 2026-08-12 23:59:23+00:00

[DeepSeek V4 Pro 0813 (on OpenRouter)](https://openrouter.ai/deepseek/deepseek-v4-pro-0813)

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).

Tags: [ai](https://simonwillison.net/tags/ai), [generative-ai](https://simonwillison.net/tags/generative-ai), [llms](https://simonwillison.net/tags/llms), [pelican-riding-a-bicycle](https://simonwillison.net/tags/pelican-riding-a-bicycle), [deepseek](https://simonwillison.net/tags/deepseek), [llm-release](https://simonwillison.net/tags/llm-release), [ai-in-china](https://simonwillison.net/tags/ai-in-china)