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DeepSeek V4 Pro 0813

openrouter.ai

371–380 of 493 posts

Re: DeepSeek V4 Pro 0813

#371
post #136

Nice bicycle chain, the little basket with a fish didn't show up in the right place: https://tools.simonwillison.net/markdown-svg-renderer#url=ht...

For a while now, I've found pelican rendering to be an unreliable metric for LLM ability - and most people know it. Yet, somehow it gets upvoted to the very top of every new model discussion.

Re: DeepSeek V4 Pro 0813

#372

Earlier quoted context omitted.

50% cache hit is really low - in a standard agentic loop you should expect like 99%+ cache hit percentage (which should also lower that $12.50 to like a couple of $ for the same amount of tokens). If you're using a customised harness you should make sure you don't have something that's e.g. changing your system prompt on some requests or rewriting history - it can be tempting to do stuff like strip old thinking token…

In my experience, that's the OpenRouter tax. Even a session that does everything right to remain sticky ends up getting moved between providers on a few requests, which bills you the full context as input every time the switch happens. I assume it's done as load balancing/latency mitigation, but it's put me off of OpenRouter for my use cases (limited use, limited need for changing models).

That’s a very heavy tax tbh.

Re: DeepSeek V4 Pro 0813

#373
post #371
post #136

Nice bicycle chain, the little basket with a fish didn't show up in the right place: https://tools.simonwillison.net/markdown-svg-renderer#url=ht...

For a while now, I've found pelican rendering to be an unreliable metric for LLM ability - and most people know it. Yet, somehow it gets upvoted to the very top of every new model discussion.

It's just a little fun.

Re: DeepSeek V4 Pro 0813

#374

Just tested through openrouter.. gave exactly same task.. the task was to scan existing repo, and generate a single docker-compose file to deploy behind a caddy server, where certain port ranges are already used, the service demands widlcard certificates to be provisioned from outside, and postgre needs to be built-in one... Tested this model, and gpt-5.6-terra-high. Results: this one had few issues. terra: none. The…

I agree. The “frontier level” open weights models benchmark really well but fall behind in real world performance

Re: DeepSeek V4 Pro 0813

#376

Is having padded version numbers with a leading zero a common thing? Wondering, sorry if it's a dumb triviality to ask. Is this even a (sub-)version number? I mean the major version is clearly 4.

its for the month and day the model released in 2026. 0813 -> Aug 13th. I assume that if they use it internally the padded 0 makes finding the newest model easier cause all the numbers for the date line up instead of the zig zag you get without it once you get to 2 digit months.

Re: DeepSeek V4 Pro 0813

#377

Earlier quoted context omitted.

IME I can't trust it to write it's own plans from a spec, but if I give it a detailed execution plan written by Opus, it's fast and cheap (if chatty) in executing it.

Interesting. I use Flash for making the plans and GPT for execution.

You're doing it backwards.
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