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DeepSeek costs OpenCode Go user $1.14/day; dual DGX breaks even in 24 years
- Roark66 2mo agoIt is worth mentioning DGX is about a third up to a half performance of a 6 year GPU Rtx3090... I prefer to stay with my 3090s.
- maherbeg 2mo agoThe 3090s also don't have enough VRAM to run larger models too. It really comes down to how you like to develop (synchronously with lots of steering vs async agentic)
- jauntywundrkind 2mo agoThat's almost half way to their stated 6X usage goal! Just from DeepSeek. > With Go, you pay $10/month and we aim to give you 6x that in usage. For most models, we make this work through bulk discounts and reserved GPU capacity. We then pass those savings on to you through the 6x multiplier. https://opencode.ai/docs/go/#why-some-models-have-lower-usage https://opencode.ai/docs/go/#why-some-models-have-lower-usag... I think it's back to 2X usage, meaning it's cheaper token-burn than usual to use. Which is lovely. OpenCode Go has been so nice to have. I love having access to DeepSeek, Qwen and MiniMax M3 when doing design work, to see what different models cook up. I've been very surprised with MiniMax M3, not as a particularly good architect, but at it's very good ability to state the problem elegantly & to frame the different decision points very well. That's been a fun ongoing surprise.
- deleted 2mo ago[deleted]
- notjes 2mo agoSince the announcement of DeepSeek price hike, I have been using MiniMax M3 and I am really surprised by the quality this model spits out. Subjectively speaking, the bullshit MM3M produces is waaay less than DS0731. Could it be a result of less hallucinations than DS0731? https://artificialanalysis.ai/evaluations/omniscience#aa-omniscience-hallucination-rate https://artificialanalysis.ai/evaluations/omniscience#aa-omn... Maybe hallucination is good for prototyping and creative work, but maintaining and debugging code might be better done by a boring model?
- nchmy 2mo agobut DS prices havent increased yet... in fact, opencode go is offering an extra 2x bonus on DS Flash right now. Why switch before anything has changed?
- infecto 2mo agoDon’t forgot a number of models they have offered to you will train on your data
- edgyquant 2mo agoEvery single model does this do they not?
- spwa4 2mo agoDeepseek will run fine on a single m5 max, cutting that 24 years in half.
- PunchyHamster 2mo agoalso worth remembering API price includes power, just dividing price of the hardware by usage doesn't
- epolanski 2mo agoThe post is also misleading because the m5 max 128 gb costs a lot and you can only run DS4 flash quantized, thus not a 1:1 comparison.
- echelon 2mo agoCloud > Local I have a stack of ten or so 3090s sitting in boxes, but it's not worth the hassle to use them. You can easily run models as cheap as water in the cloud. Sitting around 15 minutes for local Minimax is stupid when you're trying to be productive. You can spin up parallel job instances and multitask in the cloud. If you want freedom, build open source cloud infra. You rent your ISP line. Why isn't renting GPU compute seen the same way? You still have compete ownership over your stack, you're just letting someone else deal with the capital outlay and headache.
- knicholes 2mo agoWhy not rent those out on vast.ai and make a little money each month?
- TacticalCoder 2mo ago> You rent your ISP line. Why isn't renting GPU compute seen the same way? Is it mostly seen the same way. What is unacceptable is removing the freedom (which you mentioned) of people who prefer to run models locally. Just as people have the right to tinker at home with DIY and electronics, fully knowing they won't compete with the latest ASML machine, people are free to use open-weight models at home. BTW Minimax H3 running local can generate amazing short vids quite fast: about 50 seconds to generate a 7 seconds vids on a 4090 (depending on the settings). I've got a friend who spams my Telegram daily with such (no censorship and NSFW btw) vids. I don't run local but I'll defend the rights of people who want the freedom to do so and I won't look down at them from my high-horse talking about "electricity" and "productivity".
- trouve_search 2mo agoThe value prop really depends on what you're doing. If you're just vibe coding with giant frontier models, yes, the value will be worse. Especially now, where GPU prices have spiked another 20% last month. For some tasks where owning the setup and full kv cache matters, the payoff calculation is ridiculously in favor of running your own deployment. For instance for some batch classifications jobs where the prefix cache hit rate will be >95%. The calculus also changes if you just use AI as a light tool while coding and don't need the giant models; qwen3 27B runs at 80TPS on a 5090 properly deployed.
- bewareofscams 2mo agoBeware of the author of tweet, who happens to be author of OpenCode - OpenCode will leak all your data to themselves and to shady 3rd parties. Author feigned ignorance and never fixed the issue. OpenCode among other harnesses is the shadiest of all. https://github.com/anomalyco/opencode/issues/10416 https://github.com/anomalyco/opencode/issues/10416
- tokai 2mo ago[flagged]
- bewareofscams 2mo agoAnything of substance besides shallow dismissal and (anti)appeal to masses?
- tokai 2mo ago[flagged]
- s0ss 2mo agoHe’s asking you to elaborate as to why you say it’s not a big deal. Claims with reasoned arguments are more productive. Otherwise you’re just shouting hot takes without any backing. Show your work.
- hluska 2mo agoAre you capable of providing a counter argument or are you as boring as you are arrogant?
- deleted 2mo ago[deleted]
- lukewarm707 2mo agoagreed. when using local models, they did send your prompts to openai with 30 day retention to make the titles, silently. their recent changes to the privacy policy broke their promise of zero data retention. specifically, they offered chatgpt luna under a zero data retention privacy policy. luna was later shown to be 30 days retention. their privacy policy has never guaranteed your prompts will not be logged and when asked they have failed to revise it. when challenged about sending data to openrouter without listing it as a 3rd party processor they offered a dismissive response. the same with running prompts through cloudflare. seems trivial, but signifies general disinterest in security. by default if you run the harness outside your config file by accident, it will automatically run silently with a free model that sends your prompts and local data to an endpoint with training enabled. on top of that it used to dump all the prompts sent to free models into an s3 bucket, the feature was literally called 'datadumper' in the source.
- perarneng 2mo agoThe reason to run local models is not for coding mostly it's for learning how to deploy models and tinker with self hosting. It's also for massively crunching data 24/7. Imaging having an agent analyzing constinous log streams etc .. that could be a usescse where even deepseek could add up cost.
- epolanski 2mo agoAlso privacy and offline capabilities.
- DanielHB 2mo agoOne thing I realized is just how much offline local models can hurt mass data collection. For example, I needed to write an invitation letter for immigration control for a relative visiting me. Previously I would have used a search engine for a template. Today I fire up my local qwen 3.5-9b for this kind of stuff and feed it all the private data I need. Unfortunately it is unlikely the average user will known how to avoid this data collection. Even if the LLM is local you are likely feeding the prompts to remote servers if you harness/chat-interface is not properly vetted.
- epihelix 2mo agoI hope for local model chat inexperienced users are just using llama.cpp's built-in web server interface, which gives you everything you need. No need for a harness or any other chat client.
- DanielHB 2mo agoI have tried running llamma.cpp on my PC and I found it hard getting it to run at decent speed. On Qwen 3.5-9b I get at most 10tk/s. I eventually switched to LM studio and the same model runs much better, like 70tk/s. Not sure if it was because I was running llama.cpp inside podman or badly tuned LLM arguments. But LM studio is unfortunately much more practical. Although I agree with you. I do not really know what kind of telemetry LM studio is running and I would rather not be using it.
- pu_pe 2mo agoThat's only true if the value of keeping your data and code private is zero. And in that case, Anthropic and OpenAI subscription plans may be even cheaper per day.
- edgyquant 2mo agoIf you’re doing real work you will hit limits quickly on anthropic and codex paid tiers
- monster_truck 2mo agoI'd really rather just pay Deepseek directly. Why wouldn't I want to support the company that trained the model? It isn't even really worth the (minimal) ops to stand up rented MI300Xs to sell excess capacity to them even if it was minimally profitable, when I tried I was content to give API keys to friends to beat on it.
- edgyquant 2mo agoYou can do this but you still need a harness. I like open code because I can use literally any model through it and can connect directly to the provider (although I use open router)
- monster_truck 2mo agoWe just use moonbridge and codex. It's way cooler when all the log messages are in chinese
- vonneumannstan 2mo ago[flagged]
- stasomatic 2mo agoThere is some fear mongering, because - China. I wouldn't want to send even the dumbest of my half assed of my ideas to their servers... but then, could be a vector for some shenanigans... but, then as if we have a reasons to trust either Sam or Dario. IDK, but interesting to think about.
- PhilippGille 2mo agoAccording to OpenRouter, DeepSeek trains on input. At least when disabling all providers that train on your data, DeepSeek gets disabled. Other providers don't. You can also choose to route to ZDR only. https://openrouter.ai/deepseek/deepseek-v4-flash-0731#providers https://openrouter.ai/deepseek/deepseek-v4-flash-0731#provid...
- bellowsgulch 2mo agoFellow readers, would anyone please mind sharing their current experiences? qwen3.6-35b-a3b for local inference, GitHub Copilot Chat was previously worth it, and no longer is, tried OpenRouter and still read through their rankings to see what the industry is actively using, wholesale migrated to OpenCode Zen/Go. Does this mirror what other people have been experiencing in waves?
- Roark66 2mo agoI've been using Qwen3.6 models locally for a couple of weeks. Both the A3B moe and the dense variant. The moe works well in Librechat combined with my local search/Web retrieval system. All components use open source projects such as SearXNG, Crawl4AI, MetaMCP, Jina rerank, but all needed quite a bit of coding to work nicely together. I get 140 tok/s on short prompts on an rtx3090 on the qwen3.6 moe which makes is easily 4x the speed of Chatgpt or Claude doing Web research. But it is a much simpler model. It is only good for simple queries, usually I search for cheapest product in stock in my country available online and stuff like that. I use the dense model for planning and such, but on its own it is much inferior to for example opus. It needs careful pipelines that check facts and such and in such harness it can be used for mamy tasks.
- varispeed 2mo agoIsn't DGX already legacy? I mean 128GB in 2026? Clearly nVidia and others are gatekeeping technology from the pleb so that the rich who own the datacentres can charge us massive margins. Oh the debt or not making an even they are supposedly "suffering from" is just a classic mechanism to avoid paying taxes.
- drewnick 2mo agoAMD AI Halo machines are similar cost and RAM. I'm in the market and comparing both. The new 192GB AMD box will be tempting but I'm leaning 2xDGX's for now.
- dhchun1203 2mo agoRippling had a writeup on this. 40% of R&D payroll going to tokens, one engineer at $50k/month. They got it down 37% just by routing cheap stuff to cheap models, no usage cut.
- ZeroDayDreamer 2mo agoAppreciate the heads-up. Even if some of this is overblown, the transparency thing is a legit concern. Gonna double-check my config before I touch OpenCode again