Earlier quoted context omitted.
Have you completed the identity verification? It's much more lenient once you have
Weird, I'm using 5.6 Sol through Chinese resellers and it reverse engineers stuff just fine
Probably not real 5.6 Sol
DeepSeek-V4-Flash Update
101–110 of 362 posts
Re: DeepSeek-V4-Flash Update
#102Where do you guys get deepseek? I'm hearing a lot of good reviews and want to try it with my pi config. from the deeepseek themselves, openrouter, or anywhere else? does it make a difference? [edit]: whoa it is really fast. will take some time to evaluate quality thou
Opencode-go gives you $60 worth of DS V4 api usage for $10 per month. Right now I think it's hard to exhaust that when using flash exclusively, and plain API use might even be cheaper! Anyway, for DS usage it's a good deal.
Re: DeepSeek-V4-Flash Update
#103This is more exciting than k3, IMO. Dsv4 models are extremely cheap to serve. Improving their capabilities has lots of downstream effects, as it becomes "good enough" for more and more tasks. DS was serving the pro version at extremely low prices for a long time, and they've had integrations with opencode & other providers, so they likely gathered a lot of data from real developers doing real tasks (on openrouter the…
hope that deepseek become better
Re: DeepSeek-V4-Flash Update
#104The previous V4 version wasn't called “Preview” by most inference providers. For example, the OpenRouter model slug was `deepseek/deepseek-v4-flash`. So now there will be confusion when someone talks about V4 Flash or when someone offers V4 Flash inference. Why not call it V4.1?
DeepSeek being DeepSeek. v3 and R1 went over the same and had multiple versions
Re: DeepSeek-V4-Flash Update
#105Why didn't they increment the version as atleast a patch update
Yes, and even if they seem to have updated endpoints in place they should assign the service a version number.
Re: DeepSeek-V4-Flash Update
#106The previous V4 version wasn't called “Preview” by most inference providers. For example, the OpenRouter model slug was `deepseek/deepseek-v4-flash`. So now there will be confusion when someone talks about V4 Flash or when someone offers V4 Flash inference. Why not call it V4.1?
It probably would be called 'deepseek-v4-flash-0731' in API edit: nope, at least deepseek kept "deepseek-v4-flash" and just updated model underneath. I guess preview is no longer worth serving with that release and you'd have to look through inference provider docs to see if they've updated, yeah..
Does it still say that it's an anthropic model, when asked? I would guess new post-training has fixed that.
Re: DeepSeek-V4-Flash Update
#107Deepseek and moonshot are the only two providers I consent to training for.
Why not also Qwen?
Re: DeepSeek-V4-Flash Update
#108>benchmark results far exceeding V4-Pro-Preview: Wow that's crazy Good times for those that don't need strict data protection
Open weights means that there is a free market on providing inference using this model. Some of them will offer good data protection. (Well, hopefully)
Re: DeepSeek-V4-Flash Update
#109Earlier quoted context omitted.
Pairing non-APIs with APIs tend to be a hassle, and risky, as usually that breaks the ToC. I guess easiest for you to test if it's worth using the OpenAI API, is to manually copy-paste responses between wherever you run V4-Flash and the ChatGPT UI. What I've done in the past is basically .zip up the entire project directory, ignoring files from .gitignore, then asking ChatGPT Pro to inspect that and come up with a pl…
reminds me back in the day when we used to do version control with google drive. you generally don't need to do this anymore i don't think. it should be fairly trivial to open the codex cli in the project directory, ask it to do some analysis and planning -> save to md. then opencode with deepseek to read that md and start implementing. consider that some cross-model subagent workflows already exist: i use claude/fab…
That approach won't give you access to the "Pro Mode" nor "Deep Research" though, which if you're paying for a Pro subscription already, "Pro Mode" is probably the top-top when it comes to "extensively researched answers & plans" across the entire ecosystem. That said, I do ask it to produce a .md plan that later is used with agents :)
Re: DeepSeek-V4-Flash Update
#110Earlier quoted context omitted.
It probably would be called 'deepseek-v4-flash-0731' in API edit: nope, at least deepseek kept "deepseek-v4-flash" and just updated model underneath. I guess preview is no longer worth serving with that release and you'd have to look through inference provider docs to see if they've updated, yeah..
Does it still say that it's an anthropic model, when asked? I would guess new post-training has fixed that.
Does Claude still say it's Deepseek, when asked?
https://news.ycombinator.com/item?id=49082022#49087112
How is that important? Maybe it does, so what?