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DeepSeek-V4-Flash Update

api-docs.deepseek.com

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Re: DeepSeek-V4-Flash Update

#41

Post by nickandbro »

re-thc wrote: post #34
nickandbro wrote: post #14

I wouldn't doubt GPT 4.6 Luna being in the top left quadrant's center on the Cost per Intelligence Index is not concerning for Liang Wenfeng. You have to remember DeepSeek v4 flash even though a bit cheaper, does not have vision abilities, which is a big draw for agentic tasks. I admire DeepSeek's openness, but even they have been raising prices after their discounts.

> I wouldn't doubt GPT 4.6 Luna being in the top left quadrant's center on the Cost per Intelligence Index is not concerning for Liang Wenfeng. The leaked interview has him saying it doesn't matter... as much as open source doesn't matter. There's enough in it for everyone right now and they aren't after everything. Perspective: DeepSeek doesn't have enough infrastructure to serve their target customers already.

Can you post the link to the leaked interview? From what I understand he has been pretty tight lipped for a guy who has a larger stake worth more in his company than Dario does in Anthropic.

Re: DeepSeek-V4-Flash Update

#43

Post by NitpickLawyer »

lukan wrote: post #39
spwa4 wrote: post #4

In case people want to run it, it's DeepSeek-V4-Flash-284B-A13B. So it should just barely run on a single B300, and it's small enough that it'll barely run on an M5 Max too.

"it'll barely run on an M5 Max " The max version I could order now with 128 GB? If so, the price for local inference would be 12 000 € vs 500 000 € for a B300.

There's also the 2x spark way, which should be ~8k eur? Someone down the thread reported ~60tps for 2x sparks. That's totally usable for local inference.

You can also do 2x 6kPRO in a workstation, for ~20k.

Re: DeepSeek-V4-Flash Update

#44

Post by geek_at »

Goranek wrote: post #40

Kimi K3 (instead of Opus) for expensive stuff, DSV4 Flash for tasks (instead of Sonnet)? Does this make sense?

it does! I'm always amazed when I use DSV4 flash for coding or server checks and after an hour of working with it my (pure api call) balance is about 30 cents

Re: DeepSeek-V4-Flash Update

#45

Post by Rzor »

nickandbro wrote: post #41
re-thc wrote: post #34

Earlier quoted context omitted.

> I wouldn't doubt GPT 4.6 Luna being in the top left quadrant's center on the Cost per Intelligence Index is not concerning for Liang Wenfeng. The leaked interview has him saying it doesn't matter... as much as open source doesn't matter. There's enough in it for everyone right now and they aren't after everything. Perspective: DeepSeek doesn't have enough infrastructure to serve their target customers already.

Can you post the link to the leaked interview? From what I understand he has been pretty tight lipped for a guy who has a larger stake worth more in his company than Dario does in Anthropic.

https://www.techflowpost.com/en-US/article/32744

Re: DeepSeek-V4-Flash Update

#46

Post by baalimago »

Goranek wrote: post #40

Kimi K3 (instead of Opus) for expensive stuff, DSV4 Flash for tasks (instead of Sonnet)? Does this make sense?

Looks like they will release an updated version of deepseek-v4-pro soon, which most likely will beat kimi k3 at both intelligence and cost (judging by the vast improvements to dsv4 flash)

Re: DeepSeek-V4-Flash Update

#47

Post by regularfry »

f311a wrote: post #38

I've been driving flash model for 90% of my tasks. It's better than pro (for unknown reasons), very cheap and fast. I try to keep changes under 1000 lines and drive architectural decisions myself, barely notice any difference compared to frontier models. The rest 10% is to spot bugs, security problems and to investigate better architecture, which flash can also do pretty well, I just cross check it. Faster iterations…

It's good but (at least on openrouter) it's got an annoyingly tight output token limit. So if it does get stuck in a reasoning pit, it won't work its way out of it in time.

It's replaced the Kimi models for me though.

Re: DeepSeek-V4-Flash Update

#50

Post by lionkor »

I use deepseek for a lot of my personal day-to-day agent needs, and I will simply put this here and let this speak for itself, last 30 days:

- Cost: $4.55USD

- API requests: 3,467

- Tokens: 323,183,886

And as an engineer who leads a small team, I have very high standards for quality, and these carry across to my personal projects where I use deepseek. It has not disappointed at all for coding or review tasks. For everything else, use another model.

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