if they were anthropic they wouldve just released it as a new model
DeepSeek-V4-Flash Update
121–130 of 362 posts
Re: DeepSeek-V4-Flash Update
#122The 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 themselves called it `deepseek/deepseek-v4-flash`. Pro is still like that.
Yes that's my point. The old and the new version are different in capabilities, but now when someone talks about DeepSeek V4 Flash (in benchmarks, on inference providers), you don't know which exact version it's about.
Some providers like OpenRouter now call it `deepseek-v4-flash-0731`, but even in places like here on HackerNews people say things like "Sonnet is better than DeepSeek" without specifying a version or a reasoning effort, certainly no one will mention that `-0731` suffix when talking about DeepSeek V4 Flash.
Re: DeepSeek-V4-Flash Update
#123Re: DeepSeek-V4-Flash Update
#124I 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 eve…
[flagged]
An experienced software engineer (read his profile) praises the value he's found in Deepseek, and gives some real data showing how affordable that value is.
Then you, dakolli - out of generosity and minute-to-minute devotion to enlightenment - sacrifice time from your busy day to sit down (though perhaps that's been painful lately?) or stand up with your phone - and offer a profound, deeply thought-out counterpoint in the following form (and I'll paraphrase):
"Nah mate, it's shit. All LLMs are shit."
Re: DeepSeek-V4-Flash Update
#125I 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.
According to the leaked call transcript, DeepSeek is working on vision for V4. Not sure when it will land though.
Re: DeepSeek-V4-Flash Update
#126I'm thinking of using ChatGPT for making plans and V4-Flash for execution. Does anyone have good advice on pairing different models?
https://github.com/obra/superpowers I use Opus/Sol with for /brainstorming, deepseek (on Pi) for /subagent-driven-development I love it, the docs are easily editable and when I'm ready Deepseek is faster/cheaper then everything on my coding plans.
Source reads like Tony Robbins for LLMs:
Excuse
"Too simple to test"
Reality
Simple code breaks. Test takes 30 seconds.Re: DeepSeek-V4-Flash Update
#127I 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 eve…
What harness are you using to achieve that level of token caching?
Re: DeepSeek-V4-Flash Update
#128Deepseek and moonshot are the only two providers I consent to training for.
Why not also Qwen?
Qwen/Alibaba have stopped doing open weights releases for a while. No grudge or anything, I'm certainly not going to look at a gift horse in the mouth, but both DeepSeek and Moonshot have been very consistent with open weights as well as sharing actually detailed research.
In terms of open research, China has absolutely overtaken the US.
Re: DeepSeek-V4-Flash Update
#129DeepSeek is great for tasks and software I already know well. Even if it gets something wrong, I can usually verify it myself. But when I'm working with a programming language I'm not familiar with, I prefer using Codex or Claude.
Yeah, it needs quite some hand holding.
I didn't do much agent coding and had a mix experience.
1. It would build something that was in the spirit of what I wanted, but unusable in practice.
2. It would build something quite useful, but only the public APIs were nice, the deeper code layers would get more and more convoluted.
3. It would built what I wanted and it would have okay-ish code.
However, for 3. I also had to add a custom AGENTS.md, many more code example, extra repos as subtrees, and review any code that had new concepts.
Much more work, but still much less than typing it all by hand.
Re: DeepSeek-V4-Flash Update
#130Essentially I'm running everything on flash now inside pi. With the correct set of MCP servers, context reducer tooling and skills it can implement any task I throw at it. Some sessions take 30+ turns, but it's fast and cheap; all this in an hour, with ~$0.5 cost. (TBH though, in my multi-subagent workflow I do use other, more expensive models for planning, reviewing, oracle-ing) I haven't used our slow opus subscrip…
Do you notice any improvements with this update?
Not sure, haven't tried it today.
Last night it single handedly implemented a feature after a grilling session, and came back with the red-yellow-green risk assessment points that I mostly saw with anthropic models. I had to check if I'm using the right model, but it was DS4Flash.
So maybe I was using it already?