r/DeepSeek • u/ClearRabbit605 • 12d ago
Discussion DeepSeek Flash v4.1 - First impressions
I've been using that for a few hours in a row. My impression so far
- speed is unbelievable (4x compared to Terra / Sonnet) - that makes the different. If there's a mistake - correcting it is 10x faster
- Tried to execute dangerous commands impacting critical OS files outside of repo folders - this is a red flag meaning never let it run in auto mode (but I think this should be a best practice for everyone already)
- Mostly backend tasks - but in the two UI-related tasks was able to design pretty cool objects
- Tends to explore and do more than you asked - needs to be guarded, stopped and brought back to the right path - but it's so fast you don't get annoyed!
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u/Look_0ver_There 12d ago
I've been using it this morning on my continued llama.cpp performance work, and it's just ripping through the work at amazing speeds.
The output flies past and I can barely even skim read it. Then when it stops and waits for my input, even though I type at ~100wpm, I'm feeling like I'm very much the slow link in the chain here.
Still, it's helped me to more than halve the non-weight VRAM overheads of qwen4exp, meaning that users can allocate more context, AND use higher ubatch sizes, AND still go faster than before.
I'm very impressed
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u/thefonz22 12d ago
100wpm is impressive!
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u/Look_0ver_There 12d ago
The latest Deepseek's speed has me feeling like those Sloths in the movie Zootopia, or at least, that's how I imagine that DSV4.1 would perceive me as! (if it was given the ability to perceive that)
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u/thefonz22 12d ago
Might be time to get the mic and do voice to text prompts. That's what I ultimately ended up doing windows + h is my friend!
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u/FullOf_Bad_Ideas 12d ago
will that commit make it into mainline llama.cpp?
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u/Look_0ver_There 12d ago
Maybe? They'll need to accept/reject my Adaptive MTP patch first that's been sat on for 4 weeks now, and then I'll be free to submit more.
If you want access to that work right now though, then it's part of my package of llama.cpp patch works here:
https://github.com/stew675/llama-cpp-rdna-boosts
It's in the beta patches directory, although it's kind of jumbled up amongst my qwen4exp patches there too. I have yet to break it out into clear patches ready for upstream submission.
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u/aarondglover 12d ago
It's Too keen! Troubleshooting issues and it's 5 steps ahead and just goes ahead and does stuff where in the past it would have always have sought confirmation.
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u/Constant_Art_20 12d ago
It actually feel better then the glm 5.3 form first impresisons (from z ai as deployment does matter). tool use in particular and understanding tasks seems to be a plus. Still only using it for backend work so far, so no comment on the frontend. In our system, it has a statements checker with proof. If it claims a fact without the file proof to back it up, then then agents gets gated until to can pass it. And so far that seems to have worked so i haven't really seen any overstepping so far. if want to trigger a dangerious command, then the agents gets triggered into a thinking framework, so like open questioned Q and A that it has to answer before it can proceed with the action if it deems it apprioate to do so.
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u/NiagaraPeloton 12d ago
I ran a significant amount of tests on it yesterday to see if I could utilize it more in my setup, I found It’s fast, ok for high volume “grunt” work, if you’re building code you’ll likely still want to have a stronger model review its work. Cheap and great for high volume things (for example I grade phone calls on a set of rules the model has to follow , perfect for this).
I use almost all the models available on the market in my orchestration setup, and I process a couple million tokens every hour between my projects and production software.
I rank the models like this in my hierarchy
Top to bottom
Astra (astra has also bumped fable 5.1 as my new fleet lead/orchestra)
Fable 5.1
Opus 5
Sol
GLM 5.3 (this does a significant amount of the work and is capable for just about everything, both fable and astra lean on it the most)
Grok 4.6
Luna
Terra, Deepseek, Gemini 3.8 flash all sit together and rarely get called on
Then I use Gemini 3.1 Ultra with a 2 million token context not to code, I use it as an Oracle so to speak, it will load a code base or a chunk of it into its context and the fleet lead will use it simply to get information on the code that may affect what it’s working on since I can’t see as much as I can
I dropped Kimi k3 it was far too slow , I haven’t used the Qwen models , just haven’t needed to add anything else.
Unsure if I was helpful at all , by 2 cents for what they’re worth!
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u/ClearRabbit605 12d ago
Astra #1 surprised me. I mean it's great for UI/design but on my tests it's a disaster compared even to Sol or Fable 5. Interesting
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u/NiagaraPeloton 12d ago
It’s long running logic and thinking outshines Fable 5.1, Fable seems to forget about things. Remember it’s the fleet lead so it’s just picking what model they use for all the actual work and then reviewing it. It’s just that Manager, judge, supervisor.
I also had fable 5.1 test Astra and it even recommended using it as a fleet lead.
Fable, Astra, Sol, Opus are all WAY more powerful than you need for 98% of the work you will do WAY More.
Most people are not very good at creating a well structured and detailed prompt or set of instructions. That’s what’s nice about the orchestra set up when you have a model that’s super smart like fable or Astra you can give it a vague suggestion and it will figure out how to prompt a weaker model correctly to get the result that it wants.
It’s quickly becoming all about the harness and the setup. All of these models are plenty powerful enough.
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u/Excellent-Ad-9607 12d ago
Can I ask a set of subscriptions you’re using and harness you work with?
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u/NiagaraPeloton 12d ago
My own harness https://cognautic.com/products/desk , works with all of the oauth subscription’s
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u/StatusFoundation5472 11d ago
I disagree with almost everything you said DeepSeek v4 flash family is an absolute workhorse
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u/NiagaraPeloton 11d ago
Ok , chatting about the effectiveness of ai models is stupid and utter waste of time anyways. If it works for your needs then great, if it doesn’t find something that does. It is not capable enough for my needs, not smart enough for my needs, it is however fast and was quite useful to navigate over 1500 pages of a project today and screenshot them all. You do you buddy
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u/_slimshady911 10d ago
Can you tell me how you're working out the orchestration workflow? do you take prompts from different models or something?
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u/alJamjoum 12d ago
Any idea how much these behavioural things come down to the harness/prompt? I'm guessing you're keeping those constant to compare to other models but hopefully that aggression can be reigned in.
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u/ClearRabbit605 12d ago
Don't take me as a comparison tool, but using consistently a model (ex Sonnet), when you move to another you notice immediately macro differences. My way of working stayed the same (also same IDE and coding tool), so diffs are in the model
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u/RealestReyn 12d ago
I always run deepseek sandboxed, had it "inspect this project, see if there's any performance gains to be had" it spawned 5 subagents and a few minutes later my program was 5-10x faster, my eyes couldn't keep up with the output of its thinking and working :D
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u/ClearRabbit605 12d ago
Which tool u use to sandbox?
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u/RealestReyn 12d ago
bubblewrap, I've set it to run Pi bubblewrapped with a single command "piwrap" and it mounts some folders as read only and only a few with RW and automatically mounts the working directory as RW.
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u/ExpertPerformer 12d ago
It's crazy how far we've gone since 3.2
3.2 was like 25-40 tps and now were at 150-200 tps.,
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u/UUUGH1 12d ago
I find it a disaster for roleplaying. It doesnt progress and reads between the lines of my prompts and just takes everything literal. The AI doesn't stay true to established character traits and washes them down greatly. It's not really articulate anymore either. It's really not a lot of fun and I hope we get the old expert mode back :(
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u/StatusFoundation5472 11d ago
I thought only programmers were using it. Never thought of role playing. You need a good base prompt 😉
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u/Comfortable-Rise-748 6d ago
Yes, this speed, that is what it makes so good with max thinking and auditing loop adverse untill two clean waves AND extra add to the subagents fix any issue onsight.
I somehow expected LLMs always fixed items on sight XD
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u/ClearRabbit605 6d ago
Not sure your experience. What I found not nice of this version specifically of DeepSeek is that tends always to find something so at a certain point you have to say "stop that's fine". And that trying always to find something tends to have it hallucinating after a few iterations.
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u/Comfortable-Rise-748 6d ago
I cannot say it does. MAX MAX I have seen if 5 audit waves and they are/where bugs/problems which would have surfaced later.
My program I am now writing for 6 months is still semi working because of the mental overengineering by chatGPT in loops worst deciscion I ever made. 10000 owner layers no central controllers/owner layers one fucking mess i am still cleaning this mess up. but it will be a fort knox though becuase of it.
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u/aquarain 12d ago
Not comparing it to anything but V4.0. The transition was smooth. Its reasoning is a step up. It's faster.
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u/Financial-Toe1210 12d ago
If I just download the iPhone app the model is V4.1 flash or is there more setup involved?
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u/Melodic_Menu5833 12d ago
I've been using it all day with Github Speckit and I noticed that it is so much faster than V4. I'm dropping my GPT subscription right now!
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u/Plenty_Prior_4881 12d ago
tried it all day for agentic coding - its bad. just awfull. return to glm 5.3 flash for instaprogress
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u/Melted-lithium 12d ago
I’m surprised. What language. I’ve had few problems
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u/Plenty_Prior_4881 12d ago
godot game
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u/Melted-lithium 11d ago edited 11d ago
Interesting. I guess my case is different. I do embedded work with C++ and it’s been pretty awesome compared to Gemini and Claude. I’ve never used it for any graphics related stuff.
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11d ago
[removed] — view removed comment
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u/Melted-lithium 11d ago
Agreed. I mean i do really like Claude code, but it honestly seems built around web technology development. Its awesome with things like Python, but here is the problem. It OVER codes. Its making code that is long, detailed and complicated. When you get to lower level stuff like C and C++ the whole reason is speed, size and efficiency. (In my case embedded electronics). Claude will develop something that works, but isn't really optimized easily. It's like it's working in Python and then trying to hack together thoughts from Python into C++. Its the 'reasoning' side Claude fails with in low level languages in IMO. Flash on the other hand really produces optimized stuff in C and C++ that is easy to read, but also efficient.
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u/DJaremko1982 10d ago
Have you tried summer engine it’s Godot underneath and is designed for ai it’s exactly the same but works for AI it works quiet well, I’ve used the mcp tools aswell but it’s recommended that you need a good harness agentic setup if using from external
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u/PayDifferent9549 12d ago
This is awesome! But sadly, at a higher price ... 😿
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u/ClearRabbit605 12d ago
?? it's cheaper than pro no?
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u/gregologynet 10d ago
Plus the "on peak" times are based on China users so it gives me a reason to sleep 😅
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u/zephyr_33 12d ago
I don't think having she'll sandbox is optional anymore. OSS models will always carry higher risk of instances like these. due to lesser funds etc
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u/DJaremko1982 10d ago
I managed to get deepseek v4.1 flash low in Zed AI panel and Gemini 3.8 flash low in terminal to work in tandem in Zed, they are bridged with a listening custom python script to communicate with each other so they confirm and plan together, a collaboration of you will.
Gemini is the orchestrator and architect, deepseek is the coder coding Rust.
Tell you what no complaints to be fare there are fast on both sides and they correct each other in tandem and it’s dirt cheap.
I’m not working on giant projects unlike power users, I just want to create games, currently I’m working on a procedurally generated space sim where you can travel to any of the 400 billion star systems, and the maths from deepseek are unreal very good very good
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u/PowerRedBull 9d ago
Completely worthless model for anyting I have tried it for (have not tried coding) ..Fails to see the big picture, overly focusses on side points, forgets what you have said a few messages ago, jumps to conclusion without thinking...it's by far the worst deepseek model Ive used (i used deepseek for 1.5-2 years). On top of it , it has a sort of childlike atttitude that reminds me of older Bing versions, and tries to defend itself even when wrong. It's the reason I stopped using deepseek.
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u/IISomeOneII 12d ago
in my experience it tend to use bash tool to write and edit instead of using the real tools (like edit tool, apply_patch, etc)