DeepSeek-V4-Flash Update • Hacker News Board

Re: DeepSeek-V4-Flash Update

#21

Post by minraws » Fri, Jul 31, 2026, 7:12 AM UTC

minraws wrote: post #17

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.

They haven't raised prices though the plan was to increase it with peak hour usage for V4 Pro GA release, they didn't do that, so no price increases there I believe. As for vision yeah it sucks but Luna is also 2x input and 1.5x output for 1M context... That's around 0.4 in/1.8 out DSv4 is wayyy cheaper. And it's open now you have Luna at home if you have a decent set of GPUs you can run this on 2Sparks or one very e…

I know most folks can't afford it I am working on making it viable to rent shared hosting the biggest issue is data leak and prompt injection attacks with shared hosting. (Since the server owner connects to your main system via the coding agent)

I guess using a ZDR provider is good enough for now.

Re: DeepSeek-V4-Flash Update

#22

Post by KronisLV » Fri, Jul 31, 2026, 7:13 AM UTC

Wonder how good the proper version of V4 Pro will be.

I'm still considering pulling the trigger on the annual subscription of Kimi for K3 but it's sometimes slower than I'd like (at least when compared to Anthropic) even on their Vivace plan, and the token limits on the GLM Coding subscription for GLM 5.2 were too easy to hit.

Re: DeepSeek-V4-Flash Update

#23

Post by arjie » Fri, Jul 31, 2026, 7:19 AM UTC

Oh my goodness what an update. I need these weights. It's an incredible model for the size. The improved tool calling etc. should be able to make my harness way simpler. This runs at mega-speed on prosumer hardware (2x RTX Pro 6000).

Re: DeepSeek-V4-Flash Update

#24

Post by nickandbro » Fri, Jul 31, 2026, 7:20 AM UTC

dudisubekti wrote: post #19

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.

Gpt 5.6 Luna cache read is $0.02 per mtok V4 flash cache read is $0.0028 per mtok That's not "a bit cheaper", just saying

That's a good point. Yeah their caching input is insane.

Re: DeepSeek-V4-Flash Update

#25

Post by tosh » Fri, Jul 31, 2026, 7:22 AM UTC

[dead]

Re: DeepSeek-V4-Flash Update

#26

Post by wkcheng » Fri, Jul 31, 2026, 7:30 AM UTC

If the benchmarks are real and reflect actual use, then this is an insane model. This 300B model outperforms the previous DS4 Pro preview model (1.8T params), and it looks like it outperforms GPT 5.6 Luna too. And it's still cheaper than Luna, even with the price decrease.

Crazy.

Re: DeepSeek-V4-Flash Update

#27

Post by egeozcan » Fri, Jul 31, 2026, 7:31 AM UTC

Every time I want to have fun coding something with natural language processing, I use deepseek flash. It's just incredible for the price. I have a fairly popular app with 400 users that uses DeepSeek in the background and it still didn't hit even 50 bucks of usage in a month.

Re: DeepSeek-V4-Flash Update

#28

Post by flysoft » Fri, Jul 31, 2026, 7:33 AM UTC

Finally have a model with usable intelligence, at a reasonable price. Can't imagine what Pro GA would look like, considering pro preview has only 1.6t parameters.

Re: DeepSeek-V4-Flash Update

#29

Post by thirtygeo » Fri, Jul 31, 2026, 7:33 AM UTC

For both US and China models - what standard security checks and QaQc are you all doing? We're running small gamuts to test for unsolicited jailbreaks (model jailbreaks you) and incorrect records (Fake Accuracy - as Easter Egg or common thread) meaning falsified logic or information cooked in by the developers, rather than the training data speaking for itself

Re: DeepSeek-V4-Flash Update

#30

Post by PhilippGille » Fri, Jul 31, 2026, 7:37 AM UTC

The 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?