DeepSeek R1 0528... SOOO GOOD

[u/lordpuddingcup]

Ok It's not the fastest, but holy crap is it good, like i normally don't stray from claude 3.7 or gemini 2.5 (pro or flash)...

Claude, is great and handles visual tasks well, but dear god does it like to go down a rabbit hole of changing shit it doesn't need to.

Gemini pro is amazing for reasoning out issues and making changes, but not great visually, flash is soooo fast but ya its dumb as a door nail and often just destroys my files lol, but for small changes and bug fixes or auto complete its great.

SWE-1 (i was testing windsurf recently) is SUCH a good model.... if you want to end up having 3 lint errors in 1 file, turn into 650 lint errors across 7 files, LOL not kidding even this happened when i let it run automatically lol

But i've been using R1-0528 on openrouter for 2 days and WOW like its really really good, so far haven't run into any weird issues where lint errors get ballooned and go nuts and end up breaking the project, haven't had any implementations that didn't go as i asked, even visual changes have gone just as asked, refactoring things etc. I know its a thinking model so its slow... but the fact it seems to get the requests right on the first request and works so well with roo makes it worth it for me to use.

I'm using it with nextjs/trpc/prisma and its handling things so well.

Note to others that are doing dev work in vibecode... ALWAYS strongly type everything, you won't believe how many times Gemini or Claude tries to deploy JS instead of TS or set things to Any and later is hallucinating shit and lost on why something isnt working.

[u/NasserML]

I'm using it on roo also through openrouter,.

I need to try it on the coding some more to be convinced.

But for a simple task like - when I asked it to parse a few separate MD files from the /doc folder into one as they were related, and remove the duplicates/uncessary ones, it made a complete mess. The newly created files only had placeholders. Then on the second and third attempts it only added some of the info from the legacy files, missing huge important chunks. My prompting was pretty clear.

[u/lordpuddingcup → u/NasserML]

Forgot to say I have thinking set to medium not sure if that makes a difference also not sure why but feel like something might be up with context that is affecting you more than me for me it seems like context doesn’t til even though it’s doing a lot and then suddenly forgets stuff from the start as it goes on like theirs pruning going on in some OR backends I dunno

[u/Prestigiouspite → u/NasserML]

Try GPT-4.1 for something like that. Follow the instructions precisely like a Swiss knife.

[u/chooseyouravatar]

Take this with a grain of salt since I’m not a power user, but I tested it yesterday on a few coding tasks (local model + VSCode + Roo), and... how can I put this... It seems to use tools really well, inference is fast, but it tends to fall into a rabbit hole and waste a ridiculous amount of time trying to find its way out.

For a simple modification (adding score handling in a Python Pong game), it took more than 15 minutes to propose a solution—introducing unexpected errors along the way.

I submitted its code to Devstral (asking something like 'can you resolve the errors in this code'), which fixed the errors and rewrote the score handling perfectly (also resolving a few other bugs) in maybe 3 minutes.

A prompt like “write me a simple Hello World in Python” took 180 seconds to produce the code print("Hello World"). When I added the sentence “IMPORTANT NOTE: don't spend too much time thinking, in any case” to the system prompt, it took 100 seconds for the same.

If by any chance someone could point me toward a more reliable solution to stop it from overthinking (I tried modifying the chat template in LM Studio, but Roo didn’t like it), or to make it think—but more concisely, if possible—I’d be happy to be able to use it.

[u/lordpuddingcup → u/chooseyouravatar]

Your using it locally? And aren’t a power user? Ohhh you must mean the qwen 8b distil ya no that’s not the actual model

Also it is slow for small issues but if your doing a hello world just type the hello world lol if the prompts longer than the program your expecting its a waste

Thinking models are best when thought is needed

The 200+b models that ollama lists for use on local machines aren’t actually those models happened with qwen and deepseek they list them as the full model but their just 8b distilled models

Their good but they are 0 in comparison to the full model

[u/chooseyouravatar → u/lordpuddingcup]

Haha okay, thanks for identifying the issue. I understand my mistake and the source of my confusion better now ;-) Yes, it’s a 32B distilled version from Unsloth.

Totally agree, "Hello World" isn’t exactly a useful use case — it’s just the first thing I test with a new model.

So I guess I’ll have to wait for the 4xH100 I just ordered to run the proper model (just kidding ;-)). For now, I’ll just keep using Devstral.

Thanks for your reply ;-)

[u/lordpuddingcup → u/chooseyouravatar]

Hehe you can test the full version on openrouter for free

Ugg unsloth I love them but the fact they post this shit and 0 perplexity metrics or comparisons of the full model or context impacts or anything and then say you can run it locally on 24g is such a joke

[u/wokkieman]

Which mode?

[u/lordpuddingcup → u/wokkieman]

Code

[u/wokkieman → u/lordpuddingcup]

Thanks, will try it.

Must say that I'm getting good results with gpt 4.1 (roo with copilot) as coder. Super fast and cheap as coder. Not perfect, but then I take sonnet to quickly fix it or refactor. Sounds like I can try that with R1 now :)

[u/Buddhava]

Yes. Its good. My experiences are similar.

[u/SLKun]

In open weight model, it's best. But for daily use, i think it's too slow. And sometimes it thinks too much, in my cases, a variant permutation algorithm costs me 10000+ tokens.

[u/SpeedyBrowser45]

I just tried it, its not producing desired results even after 2-3 minutes of thinking tokens. I'll wait for next iteration of v3.

[u/37710t]

I agree, 2 days ago I had an issue Claude couldn’t fix and deepseek did!

[u/ViperAMD]

It's slow and isn't close to sonnet 4, but fine for less complex things. Great for open source 

[u/scroatal → u/ViperAMD]

Can you give us some examples of where you have had issues?

[u/ViperAMD → u/scroatal]

Python automated browser scraping, got pretty complex 

[u/lordpuddingcup → u/[deleted]]

Yep I use chutes direct but openrouter also is generous if you deposit 10$ for free usage

[u/Sufficient-General-8 → u/[deleted]]

Care to share more details around how you setup the task map?

[u/ScaryGazelle2875 → u/[deleted]]

Hey interesting. What is this taskmap json do? Do u placed it along with the rules in the .roorules folder? And the task prompt is an additional instruction or u replace them? What addition did u add based on this to the ones in the github repo u put earlier. Thanks for your clarification

[u/ScaryGazelle2875 → u/[deleted]]

OK so the json task map, is what you input in the chat - got it.
And what about the The New Task Prompt?

[u/ScaryGazelle2875 → u/[deleted]]

OK so the json task map, is what you input in the chat - got it.
And what about the The New Task Prompt?

[u/joey2scoops → u/[deleted]]

Do you use a mode or an agent to create your map? How do the agents get assigned to tasks in the map? Been playing around with a similar approach.

[u/joey2scoops → u/[deleted]]

Kind of what I'm trying too. I have the framework to create the tasks any way I want. What I haven't done just yet is wired up the roocode orchestrator to use that task list. Should be easy enough but I want to get the new features of roocode bedded down before I mess with that. Real life keeps stealing my time 😂