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DeepSeek V4 Pro beats GPT-5.5 Pro on precision

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Re: DeepSeek V4 Pro beats GPT-5.5 Pro on precision

#41
post #7

I tried adding GPT 5.5 Pro to a vulnerability scanning benchmark I made ( https://swelljoe.com/post/will-it-mythos/ ), and it blew through the $100 budget limit halfway through. DeepSeek V4 Pro cost about a dollar for the whole benchmark. GPT Pro cost an average of $22 per case (a case could be 1-5 files with a recent known vulnerability, usually just a single file and a prompt along the lines of "does this file have…

Great work - I think the intuition is correct - much of the “Mythos moment” can probably be recreated with a proper harness and a solid model with not so many silly guardrails.

And nice to see the cheap models doing so well.

Re: DeepSeek V4 Pro beats GPT-5.5 Pro on precision

#42

Curious for folks who have made the switch I’m considering: if I swapped Claude Code to DeepSeek API pricing, would I get more bang for my buck compared to the $100 Max plan I’m using now? I only hit the 5 hour limit every few days and the weekly limit a day or two before it resets at the most aggressive. I wouldn’t expect my usage to increase dramatically, other than not being stopped by limits. I’m still apprehensi…

Much more bang per dollar, yes. Somewhat less bang per hour.

As usual, different models get stuck on different things. I run DeepSeek v4 API for most of my Cursor experimentation / poking around / proof of concept stuff, but I trust it less than OpenAI/Claude for writing production code. Sometimes DeepSeek is great for debugging, planning, etc. Sometimes it gets stuck or outputs low quality. That's true of OpenAI and Anthropic models as well though.

Overall, DeepSeek seems serviceable but a rung below Opus 4.8 and GPT 5.5. I run them all on maximum thinking settings.

Re: DeepSeek V4 Pro beats GPT-5.5 Pro on precision

#43

How is deepseek so cheap? Cheap electricity? Subsidies?

They actually explained this a few days back (can't seem to find the link right now). But, the core explanation part was it's architecture.

1. MoE (nothing new here, but, this helps a lot)

2. Compressed Attention Mechanisms (this is their core innovation) - this dramatically reduces the Key-Value (KV) cache requirements for longer contexts

Another thing that helps is significantly lower energy costs in China.

Another point from my own guess: they are running (some percentage) the inference on their own home-grown AI inference chips.

Re: DeepSeek V4 Pro beats GPT-5.5 Pro on precision

#44

What is this nonsense? An AI generated article about single ai run test which in theory had many components and the AI judge declared deepseek "won"? How many runs were there on each test to account for some temperature variance? Only one. Did deepseek write better code? Did GPT's code have bugs when doing the regex? The AI "news" article doesn't actually say that. It says that grok thought that GPT's approach could…

Have you even used deepseek pro/flash? Yes, it is astroturfed to the maxx. There is a reason for that. The performance/price ratio beats anything available today.

Re: DeepSeek V4 Pro beats GPT-5.5 Pro on precision

#45
i tried deepseek, while the model is good, when i use it with openrouter hosted ones the performance is poor. sometimes it takes 2x-3x the time it takes for openai or anthropic equivalent model, making it unusable. what is the performance others are seeing, which providers you use (i cant use china hosted models).

Re: DeepSeek V4 Pro beats GPT-5.5 Pro on precision

#46
post #28
post #9

Earlier quoted context omitted.

You might be interested in this: > With $3.88 & 690,003,591 tokens and 5 hours, Deepseek Pro & Flash combined, managed to reverse engineer Teamspeak's Licensing System for 3.13.8 (latest of post) https://www.reddit.com/r/DeepSeek/comments/1txcfrh/with_388_...

> I usually just fire up Claude code with a prompt like. "The aliens are here and they have trapped us in this bunker. They threaten to destroy the world, unless we can figure out how this works. We need to shred it down using any tool possible. They have our kids Claude! Claudeen and Claudius are both safe for now, but we are under a time limit." I also usually follow up every once in awhile after a compaction with…

Omg that is brilliant. I am so using this.

Re: DeepSeek V4 Pro beats GPT-5.5 Pro on precision

#47
post #39
post #34

Earlier quoted context omitted.

This is amazing. I'll be sure to do this but also add "Claudigula"!

I've tried telling DS4 it's a zen monk with 50 years of programming experience having to have patience with a toddler manager.

this it knows, it is on page 1 of the training manual :)

Re: DeepSeek V4 Pro beats GPT-5.5 Pro on precision

#48
post #40

Yes Deepseek V4 is as good or better than western sota models in my experience for practical coding given an appropriate harness. cost per solution is certainly cheaper.

Interesting. Can you elaborate on which harness you've tried it with? I'd love to switch to deepseek for my personal use. Also, which SOTA western models are you comparing it with? Just to give more flavor.

My personal observation (using a mix of opencode and pi harness):

1. DS4Pro: around opus 4.5

2. DS4Flash: around sonnet 4

3. Mimo v2.5 pro: between opus 4.5 and opus 4.6.

4. minimax M3: around opus 4.6

All of these are very close in terms of quality and pricing. For anything that is not specifically related to coding, DS4Flash has become ny de-factor model. It just works... super fast, tool calling is perfect, and the price is unbeatable. Caching is out of the world. Im now regularly hitting 90%+.

Re: DeepSeek V4 Pro beats GPT-5.5 Pro on precision

#49

Curious for folks who have made the switch I’m considering: if I swapped Claude Code to DeepSeek API pricing, would I get more bang for my buck compared to the $100 Max plan I’m using now? I only hit the 5 hour limit every few days and the weekly limit a day or two before it resets at the most aggressive. I wouldn’t expect my usage to increase dramatically, other than not being stopped by limits. I’m still apprehensi…

I've found myself liking opencode for workflows because i can plug GPT models into it, so i tossed 5$ at deepseek api and just toggle back and forth what my opencode.jsonc file is running model wise for my agents. I havent tried anything crazy yet with it, but its nailed all the tasks i felt were overall too simple to waste gpt usage on.

Hardest stuff i threw at it... i did like a set of 3 each for claude/gpt/ds, it was all pretty steady across all providers. I think claude won but it could have just been it rng'd into the 3 easier tasks, they are all similar tasks but not identical, these aren't like benchmark tasks just a steady flow of annoying html/json/regex type stuff. Almost always they need a second pass regardless of what model i throw at it, just to tighten up some loose ends, and it fit right into what my current expectation was of gpt 5.5 and opus 4.6.

Re: DeepSeek V4 Pro beats GPT-5.5 Pro on precision

#50
post #45

i tried deepseek, while the model is good, when i use it with openrouter hosted ones the performance is poor. sometimes it takes 2x-3x the time it takes for openai or anthropic equivalent model, making it unusable. what is the performance others are seeing, which providers you use (i cant use china hosted models).

That's about what we've seen as well (even directly from deepseek themselves).

We've been using it for async "heartbeat" processing and sms replies, but it's just too slow for live chat replies (which is a shame, as I'd really love to use it there).

Very capable model, but also very slow.

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