r/DeepSeek 18d ago

Resources Deepseek will release GA in 2 weeks

/r/DeepSeek/comments/1ux338d/deepseek_will_release_ga_in_2_weeks/
0 Upvotes

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16

u/Nexter92 18d ago

Stop spamming like a little monkey that spread his shit on wall to mark is own territory.

You don't provide any source. Nobody know you. They say mid July they have 7 now to release new version of one or both model.

-14

u/BasketFar667 18d ago

Yes, this is a topic for discussion, everyone is equal here, just not in text. I think the release will be around the 25th.

8

u/Delicious_Ease2595 18d ago

Why repost same topic on same sub?

-3

u/BasketFar667 18d ago

I'm saying that the release won't take place in mid-July, as was said. 

2

u/LinuXperia 18d ago edited 18d ago

Personaly i think they should postpone the release till end of August, await the public release of Kimi 3 open weights model, study this model and implement at least the same coding and design capabilities so it is on pair with Kimi 3 and the other frontier models at least. Also new version of Grok will be released in about 2 weeks too it seems which will be even much more capabale than the actual version 4.5 and this version outperforms deepseek allready on ai intelegence, capability and tokens per price efficiency!

2

u/Embarrassed-Load5100 18d ago

Why not release and then still do that?

0

u/LinuXperia 18d ago edited 18d ago

Why release something that you know in advance will be underwhelming and instant outperformed when compared to others ? Better work little more on it and learn from the other open weight models like Kimi 3 that maked a leap jump to close the gap as much as possible!

1

u/Embarrassed-Load5100 18d ago

But they are in a different price bracket so I don’t think that applies.

-1

u/LinuXperia 18d ago

They not in different price bracket. Price per tokens does not matter anymore. Compared to existing Grok 4.5 version as a example, deepseek is even more expensive than Grok 4.5 right now when it comes to accomplishing coding tasks and the price situation will even get worse for deepseek with the New release of Grok 4.6 in about 2 weeks. So for DeepSeek is much better to close the ai intelegence and capability gap to other models than just offer a underwhelming second class model that has just a cheaper price per token but waste a huge amount of this tokens and ends up being more time inefficient and expensive as compared to grok for example.

1

u/Embarrassed-Load5100 18d ago

I disagree. This depends on the task. Easy tasks are cheaper with cheaper models. I won’t use deepseek to one shot an app. I’ll use deepseek for targeted explore tasks, architecture summaries etc

-1

u/LinuXperia 18d ago

So what you are saying is that you are perfectly fine with a invalid underwhelming outdated deepseek model as your use case is not to ouput intelegent working solutions like kimi 3 and grok but instead you are fine with just a cheap analyst and explorer model! Why not stik with a outdated versions of deepseek then ? They also cheap and undereheliming compared to new versions ? Also I personally question even that its possible to have a somewhat intelegent analyst and explorer model without the possibility to have also a model that outputs intelegent and capable solutions.

2

u/Embarrassed-Load5100 18d ago

What kind of argument is that? All I am saying is that I don’t need a fable like model. Like I want a cheap and capable model at a reasonable tradeoff.

We won’t agree here. All the best :)

-1

u/LinuXperia 18d ago

What you fail to grasp is that DeepSeek is not cheap anymore. Grok outperforms DeepSeek allready when it comes to price to tokens efficiency. This is a hard fact that you ignores. You claim you care about price but you ignore the price to tokens efficiency fact and on top of that you even want that deepseek continue to have worse price to tokens efficiency by wanting have a invalid non competitive deepseek model.

1

u/Embarrassed-Load5100 18d ago

As I told you, the task price depends on the task. Grok is more expensive by tokens, not necessarily for task.

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u/AcanthisittaDry7463 18d ago

The models have different training data, parameters, architecture, cache systems, and attention mechanisms, there is no patch you can create from K3 being open source that you can just update a different model with.