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DeepSeek V4 – almost on the frontier
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Re: DeepSeek V4 – almost on the frontier
#92[dead]
Re: DeepSeek V4 – almost on the frontier
#93I tried deepseek v4 through open code at the weekend. I'm a daily Claude/Claude code user. I tried to build something simple and while it got the job done the thinking displayed did not fill me with confidence. It was pages and pages of "actually no", "hang on", "wait that makes no sense". It was like the model was having a breakdown. Bear in mind open code was also new to me so I could be just seeing thinking where…
> "actually no", "hang on", "wait that makes no sense"
Claude does the same thing, claude code just hides the thinking now
Re: DeepSeek V4 – almost on the frontier
#94I tried deepseek v4 through open code at the weekend. I'm a daily Claude/Claude code user. I tried to build something simple and while it got the job done the thinking displayed did not fill me with confidence. It was pages and pages of "actually no", "hang on", "wait that makes no sense". It was like the model was having a breakdown. Bear in mind open code was also new to me so I could be just seeing thinking where…
> It tried to build something simple and while it got the job done the thinking displayed did not fill me with confidence. It was pages and pages of "actually no", "hang on", "wait that makes no sense". It was like the model was having a breakdown.
It has been probanly trained to assess its own "thoughts" regularly and outputs those for the assesment results. I wouldn't worry much about the reasoning text contents, and it's nice to have them in contrast to the closed model "summaries", so it's easier to see what's going on.
Re: DeepSeek V4 – almost on the frontier
#95Deepseek v4 Pro feels like Claude Opus 4.6 in it's personality but here's what I did find out about costs: I did cut loose Deepseek v4 on a decent sized Typescript codebase and asked it to only focus on a single endpoint and go in depth on it layer by layer (API, DTOs, service, database models) and form a complete picture of types involved and introduced and ensure no adhoc types are being introduced. It developed a…
How did you use it? OpenRouter, or provider directly?
I'm guessing downvoted because OpenRouter was mentioned in the note (which may not have been there originally), but aside from that this is a perfectly legitimate question. In order to reproduce we need to know how. Was it a coding agent like opencode, an IDE, or something else?
Re: DeepSeek V4 – almost on the frontier
#96Earlier quoted context omitted.
As opposed to? Do you really think OpenAI, Anthropic or any other entity in the same business respects your data? The Chinese AI companies who release open weights actually deserve whatever input you give them. They are the reason why there is competition and not duopolies in the domain.
I think Google, and likely Anthropic, indeed do honor the settings chosen by the user. For Google in particular it'd be very surprising if they didn't. That's also why both do everything they can to trick users into allowing it. OpenAI, I wouldn't be surprised if you were right.
unfortunately the history of these big tech companies has shown that they do not care about data privacy and are even willing to lie about it. but I guess its irrelevant, in practice you have to assume the worst anyway since there is no way to verify it
Re: DeepSeek V4 – almost on the frontier
#97This gives me hope that when the subsidization circus ends and everyone is on pure usage then it won't be entirely exclusionary to mere mortals who don't have $200pm budgets.
Re: DeepSeek V4 – almost on the frontier
#98I've been using v4 pro for the past few days and honestly in terms of quality it seems more or less on par with open AIs 5.4 or opus 4.6 (i havent tried 4.7) To be clear, i'm not doing state of the art stuff. I mostly used it for frontend development since i'm not great at that and just need a decent looking prototype. But for my purposes it's a perfectly good model, and the price is decent. I can't wait for open mod…
You can use Tinfoil for inference, which lets you use the model in the cloud while getting similar privacy as running locally: https://tinfoil.sh/inference . Disclaimer I'm the cofounder. This works by running the model inside a secure enclave (using NVIDIA confidential computing) and verifying the open source code running inside the enclave matches the runtime attestation. The docs walk you through the verification…
Hi there I use your service. It's great. But I have a few requests... Please support crypto payments...? Also you are missing some open source models (qwen 30b 3a, Deepseek 4 flash).
Re: DeepSeek V4 – almost on the frontier
#99I'm currently paying for Anthropic's Max subscription (the 100 USD one) and I quite often hit or approach the 5 hour limits, but usually get to around 60-80% of the weekly limits before they reset (Opus 4.7 with high thinking for everything, unless CC decides to spawn sub-agents with Haiku or something). Those tokens are heavily subsidized, but DeepSeek's API pricing is looking really good. For example, with an agent…
I am using flash, and it's so good. 150M tokens at $2.
Re: DeepSeek V4 – almost on the frontier
#100This gives me hope that when the subsidization circus ends and everyone is on pure usage then it won't be entirely exclusionary to mere mortals who don't have $200pm budgets.
IMO there are two things that make me optimistic that we won’t see a big rug pull where price-to-capability ratio skyrockets relative to today:
* As you’ve noted, people keep finding ways of slamming more intelligence into smaller models, meaning that a given hardware spec delivers more model capability over time.
* Hardware will continue to improve and supply will catch up to demand, meaning that a dollar will deliver more hardware spec over time.
I hope that one day we’ll look back on the current model of “accessing AI through provider APIs” the same way we now look back on “everyone connecting to the company mainframe.”