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Feels better to me in the sense that it doesn't try to be too clever. When I ask it to do things it actually generates code that a developer would write. That still lets me build software in layers like I do mentally. And it keeps you in control of where abstractions are.

Some people would say that you don't need this at all with the frontier llms. But when extending existing software or writing software that fits into an existing ecosystem, I find I still need to offer a lot of guidance. And it's better that the context window isn't flooded with code that was reverted after I looked at it.

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> Some people would say that you don't need this at all with the frontier LLMs

Hit the nail on the head. Development methodologies pivoting at the whim of frontier models have been one of the things that have been worrying me as of late.

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it doesn't worry me too much tbh. This is really just cutting corners and going this route leaves you with some kind of additive ship of theseus piece of software you don't understand and require your frontier model to work with, which just... becomes more additive and gross. right now we're in some proverbial heyday of everyone seeing how absolutely grand of a thing they can make with frontier models. over time i expect some old design philosophies to take hold with people who use LLM's successfully and find a place again paired with developers who understand why such layered methodologies are important... because this whole AI thing wasn't the silver bullet CEO's and crazy execs thought it was. They will eventually get sick of the support burden of badly designed stuff. i anticipate a bit of pendulum swinging back towards "still using AI, but we need smart people to do it because it's expensive and we want it done right". Right now a lot of companies are being extremely reckless imo and they haven't fully realized/felt the cost implications of trainwreck software yet.
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What if those “cost implications” are just asking Opus 6.7 to fix whatever issue cropped up?
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Exactly.

In a way, that’s the situation today. You can pay an experienced developer $$$$ to do it right, or you can outsource it and pay $$ but pay extra for more layers of review, have lots of unfixed bugs and more tech debt.

You are proposing that instead we pay the frontier model to clean it up. If it can, I expect it to cost somewhere in the neighborhood of an experienced dev because that’s the alternative. That’s the way the frontier AI companies will extracting the value of the work from you.

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> I expect it to cost somewhere in the neighborhood of an experienced dev because that’s the alternative

But there's two ways this could be true: Frontier models costs rise, or (more likely) experience dev costs fall

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Opus on enterprise pricing is not exactly cheap.
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In complex systems, issues keep piling up faster than you can fix them.
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> haven't fully realized/felt the cost implications of trainwreck software yet

As long as the API is private or not dependent on by automated systems and you have good test coverage, you can get away with bad code IMO since you can always refactor. If it looks stupid but it works (and can be refactored/fixed/improved later if needed) it aint stupid.

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Used to say this about dev written code, if it has tests, I can usually live with it.
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IMO the fundamental principles and "conflicts" are still the same, but many have forgotten about them with all the hype and sense of speed. The industry will slowly rediscover them.
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Support burden? When did companies care about customer support or system maintenance?

They already did the bare minimum allocation to both despite engineering screaming at them.

I highly doubt executives are going to accept slower release and sale cycles in order to provide better support.

If anything, I expect this trend to accelerate. I’m imagining the opposite, a plethora of AI slop with increasingly burned-out engineers.

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> slower release and sale cycles

Sales are out of their control.

If there’s a market for quality and you don’t have it, sales are going down no matter what the PHB wants.

If there’s not, watch out for the vibe-coded competitor.

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Buggy slop products will burn buyers and then people will buy less. The very-early-80s video game companies shoveled out slop, including a few games that wouldn't even launch. Which led to the Great Video Game Crash of 1983.
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I've been using layered development techniques like the parent says even with frontier models, just one agent at a time with Zed.
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I just use a suite of tests to enforce the mechanical standards (dry, encapsulation, etc) and arch documents for shape + reviews of new work against the two. I’m not seeing any significant drift.
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Yea, this is one thing that gets me. Vibe coding and freestyle prompting gets wildly different results. Starting from a set of specs and expectations routinely gets me reviewable and we'll tested code. Sure, running the full test suite alot slows things down and uses more tokens, but when I hit a five hour or weekly window, I just roll up my sleeves and start working without the model because the code is layed out the way I expected and is designed to fit my meatbag workflow and pace.
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You must not be looking very closely yourself then.
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When is the last time you used a frontier model? Any chance you work someplace that forces you to use last year's model (or any American open weight model)?
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> Feels better to me in the sense that it doesn't try to be too clever. When I ask it to do things it actually generates code that a developer would write. That still lets me build software in layers like I do mentally. And it keeps you in control of where abstractions are.

yes!So it's not just me. In terms of how intelligent they want to be OpenAI is at the top, then Claude. And actually when I was playing with Sol it meant that many tasks it would just try to do something else because it thought I don't know what I want. Even trying to nudge it back in the right direction wouldn't work.

I guess the models just have the cultures of their creatures.

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> it doesn't try to be too clever

DS is miles better than GLM in this regard. I wanted to add that as PC is planning to go to GLM next.

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Interesting. I’ve been using GLM 5.3 Flash for a couple months and found it to be great. What has it been doing that you found to be “too clever”? It sometimes gets stuck in loops. I once asked it to do a code review of a simple pattern and it went off on a 45 odyssey trying to analyze too much. But other than those, it’s been a pretty good daily workhorse. And you can’t beat the price. Even Deepseek 4.1 Flash is more expensive. And I switched to GLM 5.3 Flash from DS 4 Flash, my previous daily driver, which I also found quite good. Anyway, my point isn’t to start a “which model is better” subthread, but was just curious what behavior you’ve seen where it’s “too clever.”
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Anecdotal but I was doing regular adversarial reviews of new work using about 5 models (mostly the open Chinese ones like DS, GLM, Qwen, Kimi, etc) and GLM routinely took much longer for similar results and the same instructions.

It would just loop on things and go down rabbit holes more. DS flash has been so consistently good I've kinda settled on it for 90% of my work.

I still use adversarial review for bigger changes where I want to make sure any issues are caught early, but I genuinely feel as tho if no new models ever get made I'd be fine with just using DS forever.

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What quant were you using? I’ve been using Q4_K_S for a while now and it’s been rock solid, but having tried Q3_XS, that would loop like crazy. Maybe try a bigger quantity size?
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It wastes my time. A lot! In different ways. That's the tl;dr. Really.

Keeps repeating things I settled as accepted or rejected. But what really gets on my nerves? The language it uses – that aweful, useless typical LLM languages! No AGENTS.md instruction, no per session instruction, no just two-prompts-prior instruction seems to work, hell sometimes instruction regarding that in same prompt doesn't work. GOOD/BAD example along with instruction don't work. That wastes time and zones you out! Not to mention the fatigue of to and fro. DS has been working much better. Hell Gemini 3.1 Pro works so much better than GLM. I don't have extended experience with OpenAI and Anthromic models but the free claide.ai works quite well and better than GLM 5.3 (not even flash). Albeit I must say I rarely use claude.ai for coding, but technical tasks? All the time!

GLM's best response: "No excuse. My fault. You exactly asked me not to do exactly that and so did the AGENTS.md. I failed". Love it. Except that if I press I will get that response every 5 prompts.

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In my experience GLM and Claude models behave in ways that steadily drift from your directives and speak in similarly mannered "Claudese", leading me to believe that glm was more or less trained to mimic Claude. I think this reflects a very strong gravitational pull anchored at the system prompt level to specific voice and behavior directives directives. I find other models like DS and Gemini are more compliant and drift much less from my custom behavior and voice directives.
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For me GLM thinks too much for no reason. It takes a 2-3 turns for DS where for GLM it takes up to 10.

I like giving precise instructions,”update function xx to support input yy, add tests”. There is no reason for 10 turns and 5 minutes of waiting.

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I briefly tried GLM 5.3 Flash and the first thing I noticed was how slow it was followed quickly by its single-mindedness. With DS 4.1 Flash I find that it understands that not all the detail in my prompt is important. Sometimes I like to give a quick example of what I'm looking for and it can take the hint whereas GLM will seemingly reshape its worldview around this tiny detail.

DS just handles ambiguity and my bursts of detail with much more grace. I'm only using "max effort" and the CoT is reasonable compared to GLM.

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> the first thing I noticed was how slow it

This really depends on the provider, it's a very fast model with ours

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What harness are you using?
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> My next subscription will probably be Z.ai

Wait... you just spent 3 paragraphs singing the praises of DS... and then you say you're going to subscribe to the one that makes GLM. ?

(I do tend to agree with you, though I tend to favor GLM-5.3-flash over DS 4.1 flash.)

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Z.ai does offer access to DS AFAIK, so I guess that's what they mean? Maybe the feeling is that it provides more value that DS's own platform since you also get GLM, not sure.
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maybe the point was become of the openness, they will be using z.ai?
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But it’s not at all as described in terms of work style - it’s much more like Claude.
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Reading quickly, I thought the open CoT was the most important piece of comment, probably just bc that seems like it would be the most useful to me.

debugging reasoning traces more effectively seems useful to find prompt issues writing custom harnesses even if it runs on stronger model later

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Agreed.

It doesn’t have to be better, it just had to be nearly equivalent. I’ve been doing a lot of vulnerability work lately (trying to get ahead of the bots finding exploits in our code) and the frontier models feel like a chaperone at a church dance: get too close and they show up with the ruler and enforce the safety margin. Using deepseek and glm and qwen, I’ve gotten nearly equivalent results without the constraints. I still use frontier models for things but outside of a company environment, I’m happy to spend 1/10 the money, get the same results, and not have try and trick the AI into working.

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No need to use a chinese provider, in case that's an issue for you. https://fireworks.ai provides this model for an ok price.
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I'd rather my data go to China and directly to labs that release open weight models (DeepSeek is MIT licensed still); instead of closed labs and the NSA/CIA; who has far better ability to hurt me than China does.

Without getting too much into politics; over the past several decades, one country is going around starting wars, regime changes and other interventionism, or initiating economic warfare (Huawei sanctions because they were getting too competitive to US companies; GPU restrictions; tariffs; etc), and that's not one administration: it's US policy over the past few decades.

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This number reports, basically, how good it is to live inside a country, while the comment that you are replying to is entirely a list of foreign policy complaints (regime changes, etc).

It's kinda like meeting someone on the street who's protesting about animal cruelty in slaughterhouses, slyly handing them a chart showing them the nutrition facts of beef, and then walking off without another word as though you've settled your case.

Like, I get the point you're trying to make, but I hope you're aware it's a non-sequitur in context?

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> Like, I get the point you're trying to make, but I hope you're aware it's a non-sequitur in context?

Your hope should have been that amelius was not aware that it's a non-sequitur, because that is correctable. But then they kept posting and removed all doubt.

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have a look at everywhere at the human cost of what the orange man is doing depending on his morning coffee. much better to send data to china than to US right now.
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Why link to a number, which means roughly nothing, instead of the specific details on the countries you're trying to compare? I have no idea how to break down or make my own assessment of what 0.83 or 0.18 means. Does that 0.83 for the US include all of the people being shipped off without due process to El Salvador, or do they count that as part of El Salvador's Human Right Index?

People like to bring up the Uyghurs immediately, but never really have the same smoke for the US. Also, do we include the prison population in human rights? Do we include access to healthcare? What about systems perpetuating poverty like lack of access to public transportation?

To pre-emptively be clear on my stance or potential bias, I stand by no country in the world. I was born in Iran, and my parents left when I was young to the US because they believed in the American Dream. The irony being that the dominos of why they left were initiated by the US and UK. And long before Trump was elected, but certainly immediately afterwards, I decided to leave the US once I had the means. (Also because of the lack of public transit, the $100k medical bills after an accident, being punched by a homeless person, and having my possessions stolen repeatedly and the cops giving me a :shrug:). I moved to Japan, where I experienced blatant racism for the first time. I moved to Hong Kong (and tbh no real complaints so far), but I am technically subject to the freedom of speech constraints on China.

I have no allegiance to any country or specific people. My allegiance is to all living beings.

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Sorry but you're arguing against a reputable institution here.
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I'm not arguing against a reputable institution, I'm arguing against using that reputation + their final number alone without going through the process to verify the methodology myself, which you didn't link to. You only showed the conclusion, which to all of us, should mean very little until we look into how that number was arrived at.

And I don't care if they're reputable, I will look at the methodology and make my own conclusion either way. Appeals to authority are not a substitute for critical thinking.

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We're not talking about a few % difference here. If you want to look into it then fine, but you have to come up with some really good evidence if you think you can debunk anything here.
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We're talking about the country that has tried multiple times to destroy their country, look up Mossadegh for the 1950s and check out the glorious bombing of a school for 2026.

No lessons to take from the US.

PS. https://en.wikipedia.org/wiki/Foreign_interventions_by_the_U...

I know the US thinks only its citizens are human, so "The United States has been involved in hundreds of interventions in foreign countries throughout its history, engaging in nearly 500 military interventions between 1776 and 2026, with half of these operations occurring since 1950 and over 25% occurring in the post-Cold War period” is not probably part of the reputable storytelling

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There's absolutely nothing in those numbers to argue against. They are simply providing fluffy quantitative declarations in order for people who don't even claim any particular knowledge or even understanding of the details of the metric (such as yourself) to argue from authority.

If they actually said something, it would be much less effective.

> We're not talking about a few % difference here.

How may freedom percent is it again? Do you lose 1% or 20% for failing to allow foreign ownership of utilities? How many percent do you gain for stopping Russian misinformation?

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The metric was carefully crafted by a group of experts as means of communicating a complicated topic.

I'm not going to discuss it further if you don't have anything substantial to bring to the table.

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'experts' lmao. Your entire argument boils down to an appeal to authority fallacy.
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That fallacy does not apply here as the authority is legitimate and relevant.
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That's just your opinion, not fact.
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Eric Cartman is that you?
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Yes! By all means, let us appeal to authority and use institutions' reputations to shut down any discussion, rather than thinking about what these figures actually mean, what criteria they're based on, or how well they reflect reality.

edit: wording

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An institution mostly funded by the governments it happens to rank highly, and the open society foundation that's owned by George Soros, a man who's been obsessed with overthrowing China's government since the 80s. https://www.v-dem.net/about/funders/
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They're not arguing against the institution. They're arguing against the metric .
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Yeah but the metric was invented by that reputable organization and given the enormous difference it's not worth any discussion unless they come up with something good in which case they should probably publish about it.
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If you don't want to have a discussion don't post pointless metrics that you don't even understand.
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They are arguing for you using your brain instead of tethering it to a number.
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No he's arguing against your arguments and winning.
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lol the US was a .60 in 1789 during slavery. this chart is useless.
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The reason the US scores a 0.6 in 1789 comes down to how composite data is aggregated and the global baseline of the 18th century.

Yes, people have put thought into this. This is why I trust institutions and not random posters on the internet.

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Is WHO a reputable institution? And was it reputable between 2019-2022?
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The reason that US and its allies/friendlies always score high on these kinds of ratings while their enemies/adversaries always score low is because these institutions and 'experts' are directly funded by and beholden to these countries/interests.

Just look at Russia - it's score is highest in the 90s - the most corrupt and destitute time in its modern history, also happens to be when it was deemed somewhat friendly to US and friends.

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How much of the US economy is powered by prisoners?
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Depends on the sector. For example, in California's large-scale wildfire responses, forced prison labor in firefighting acts as an important auxiliary force. https://www.commonwealmagazine.org/los-angeles-firefighters-...

In Arkansas, agricultural work accounted for 17% of all prison labor assignments in 2021. https://www.prisonlegalnews.org/media/publications/Captive_L...

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That doesn't answer at all.

17% of prison assignments might be 3 assignments for all I know.

I found a number in your document: "...1.2 million people incarcerated in state and federal prisons, over 65 percent work."

That's 780,000.

And there's 163 million working folks in the USA.

Prisoners power .4% of the economy.

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The biggest problem with this is that I can't run my company's own internal benchmarks against this API, because they will be trained into the next version of the model, making them worthless.
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Have you ever wondered why Manus founders gave up billions of dollars from Meta and “voluntarily” moved back to Beijing? One country does things out in the open, while the other operates in the shadows. The latter worries me more.
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It worries me far more what people are ok with us doing in broad daylight.

> Have you ever wondered why Manus founders gave up billions of dollars from Meta and “voluntarily” moved back to Beijing?

This country wouldn't be such a shithole if we were able to bring the wealthy to heel. I suspect most people on earth see China as the more competently governed country. Understandably, this forum tends to select for people who view private investment positively, but this is clearly insufficient by itself to produce functional societies.

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You mean the project that literally had an anus as its mascot? Wasn’t that a joke project? Maybe the government was admonishing them for naming their company “man-anus”
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You are not really narrowing it down
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This is really a roundabout way of saying you have no plans to live, or perhaps even travel, to China.
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To add to this, Fireworks (and many competitors, e.g. enumerated here[0]) offer zero-data retention inference, to anyone. DeepSeek cloud does not. It's part of their terms that anything you send them is fair game for them to train models on.

[0] https://openrouter.ai/deepseek/deepseek-v4.1-flash

(The badges next to companies indicate their privacy terms, i.e. green/yellow/red)

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It’s pretty clear despite what they want you to think Anthropic and OpenAI train on everyone’s data who has a subsidized plan. Only way you get ZDR is by paying API prices. Also note that it is zero retention, not zero training.
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> "Also note that it is zero retention, not zero training"

The "green" badges explicitly say the opposite:

> "Private: this provider does not train on prompts and does not retain prompt data."

I.e. for the example of Fireworks, this is the precise language they use to describe ZDR:

> "More technically: prompt and generation data exist only in volatile memory for the duration of the request. If prompt caching is active, some prompt data (and associated KV caches) can be stored in volatile memory for several minutes. In either case, prompt and generation data are not logged into any persistent storage."

https://docs.fireworks.ai/guides/security_compliance/data_ha...

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I figure (hope) buying from DeepSeek directly benefits them the most so they can release even more improvements and open-weight models.

Plus only one country has threatened to annex mine and it wasn't China.

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Assuming canadian or dane, but maybe there are other places he’s threatened. There are canadian inference providers running deepseek, and definitely eu ones idk about ones based in denmark.

The economic sovereignty of any nation, but especially smaller ones like canada and denmark, is harmed by sending our money out of the country when there are options available in country.

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> The economic sovereignty of any nation, but especially smaller ones like canada and denmark, is harmed by sending our money out of the country when there are options available in country.

I respectfully disagree. I subscribe to the comparative advantage economic principle, so I'm fine with international trade.

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What I am saying isn’t inconsistent with comparative advantage. International trade is fine, but only when it’s not a commodity easily obtained inside your own nation. Open model inference is a commodity. There is no real lost opportunity cost from using canadian owned GPUs or chinese owned ones. In fact, as a country with abundant cheap power, and physical space, canada’s probably a better place than many to run inference. That’s what I meant by “when there are options in country”.
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I hear you, but as I said, I hope that buying from Deepseek gets more Deepseek. Maybe they get the same amount (or more) from a Canadian provider, and if so I might reconsider.

The 'clean power' would factor in a well, but I haven't really looked in to it. I know China is installing a ton of renewable and has a carbon market while Canada's building a new pipeline and building Alberta data centres running on natural gas, so I'm not willing to take on faith that switching is cleaner.

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Fair point. Personally i don’t see value in closed models, be they chinese or american. So, it’s pretty much against my religion to pay the model creator to provide inference. Even a situation where model makers license models to providers seems better than deepseek hosted deepseek provided models.

Also, re: power. I said canada has lots of cheap power, clean was your word.

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RE: clean power - China is by far the biggest leader in getting renewables off the ground, but they are also still comfortably the biggest polluter, so it's difficult to compare.

The unfortunate truth behind at least the solar PV boom in China is that it's driven in large part by the exploitation of Uyghurs in the Xinjiang region. One of the reasons they can sustain the pace they're going at is because while nowadays PV modules exports increasingly gravitate towards offshore fabs (Vietnam, Malaysia), domestically all the biggest PV players make full use of modern slavery within Xinjiang's re-education camps.

more on the topic: https://www.shu.ac.uk/-/media/home/research/helena-kennedy-c...

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>International trade is fine, but only when it’s not a commodity easily obtained inside your own nation

It might be a minor nitpick, but that part is just not how the macroeconomic principle works. Abundance of a good/service within a country is irrelevant to the concept of a comparative advantage - this is counter-intuitive but but that was David Ricardo's entire point. It's not about whether production is more efficient domestically, it's whether comparative allocation of resources between multiple countries is more efficient by specialization within the different goods.

Even if you can produce "good 1" cheaper in Country A vs Country B, if Country A can instead produce "good 2" that Country B cannot, it's better for Country A to produce "good 2" domestically and import "good 1".

Now, I still agree with the original notion. It's unnecessarily risky to use services from "democratically-challenged" nations (especially imperialist ones), when safer options are available. But there's no need to twist macro 101 concepts to justify that view. Modern trade policy takes more into account than basic market efficiency.

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It surely does. Official DeepSeek provider logs and trains off your data.
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China has annexed (or it claims so) several countries already, so it sounds like you're only concerned with yourself - probably not what you wanted to achieve.

(But I'd concede that in the field of genocide China doesn't come up as bad)

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If one is not American, why prefer American? Chinese fine by me, I trust the US providers just as little.
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There's also European providers for these models. More than one!
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There's even a European OpenRouter competitor

https://www.edenai.co/

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Thanks, i didn't know about these guys. Is their pricing competitive?
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Could you recommend me a few?
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I’ll add Melious.[1]

I feel like I’m getting good value out of my subscription and they have the cheapest GLM-5.3 API rates I could find in Europe. I moved to them recently from Mistral for the better prices.

They do have a slightly different daily inference capacity allowance, but it’s actually not too bad once used to it. I was forced to up my game and figure out what GLM-5.3 Flash and Deepseek-4.1 Flash could actually do for me, rather than just throwing everything at GLM-5.3. Quite happily chugging along with a nice balance across them now.

I am hoping Melious make the new DS 4.1 Flash 1017 available soonest.

[1] https://melious.ai

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Scaleway, Mistral, Lyceum, Verda, Silo AI, Siili, Upcloud, CSC, Gcore, Nebius...
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I haven't found that Mistral serve DS.
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They do not yet. They are testing it but they go with GLM right now.
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Which ones? And how is the price?
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I support people making choices with full knowledge of what they are doing and what the consequences are, as much as it is possible. What I oppose is making choices without such knowledge.
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There are multiple others in EU, and in US. Cheaper, more expensive, slower, faster. So much choice.
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Completely unrelated, but it's so odd to see upside down '8's in the first column of the base tables on their pricing page.
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The link points to OpenRouter with multiple providers.
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>> Being able to see the CoT

Dont assume that is how your model decides...

https://arxiv.org/abs/2305.04388

https://arxiv.org/abs/2307.13702

https://arxiv.org/abs/2503.08679

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> they frequently generate CoT explanations rationalizing those answers

I can't tell if this is a really human thing to do, or if it's just a sycophantic thing to do when your master likes a good story.

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Fair, but you can see the logprobs, right? That alone is pretty valuable.
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This is like one of those folk theories that have some truth but in practice it is useless.

I love COT and gives me a good idea about the thought process. Sure it doesn’t work always

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Same. And the biggest benefit is that you get to see if it’s heading in the wrong detection
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In practice, it does help to immediately be able to tell if you missed something or wrote something incorrect in your prompt, compared to if you didn't have access to the CoT. If you see that it goes off wondering about stuff or thinking about stuff that you know are already solved/known, you cancel the execution, edit the prompt and redo, then observe the CoT again, until you've resolved any "misdirections".

Both OpenAI and Anthropic hides so much of that, that you don't really know if it misunderstood something or you got something wrong, until all the turns are complete or you directly see tool calls that implicitly tells you something is wrong.

You don't need to read any papers to see this effect concretely when developing together with LLMs.

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DeepSeek v4.1 Flash hallucinates like crazy.[1]

Is DeepSeek: DeepSeek v4.1 Flash 1017 any better?

[1] - https://www.youtube.com/watch?v=P4dTq4X8bqk

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>My next subscription will probably be Z.ai

please don't subject yourself to this. z.ai subscriptions are not a good value. just pay API rates, or use a subscription like opencode go.

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I've used the zai subscription, opencode go und cline-pass in the last few months and would recommend the latter. Zai quickly drains your quota as soon as the context window is at more than 10-20% and opencode was a bit unreliable at times.
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Absolutely!

DeepSeek feels like an excellent sparring partner. The others feel like mind readers.

I don't have to worry about any complex context engineering / multi agent stuff if I am using DeepSeek because the sequential stuff is fast enough. I don't have to bother about touching a million context length because its cheap enough.

Where it seems to lag behind is 3d, computer use, motion graphics, design but the initial demos seem like the vision model has improved substantially.

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Deepseek is not from Z.ai, that's GLM.
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Is that a dig on DeepSeek not offering subscription plans?

If so OpenCode Go looks good and includes DeepSeek models (yet to try myself).

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I wonder what quantization opencode uses for DS models.
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From "What about data and privacy?" in FAQ it sounds like they don't host models themselves. e.g. it says:

  DeepSeek: ZDR agreement is renewed monthly. The current agreement is valid through October 31, 2026.
  https://opencode.ai/go
They also follow official DeepSeek API peak/off peak hour pricing and link to their docs:

  DeepSeek V4.1 Flash / V4 Pro: Peak hours are 01:00-04:00 and 06:00-10:00 UTC, Monday through Friday; all other hours, including weekends, are Off-Peak. Learn more.
  https://opencode.ai/v2/docs/console/go/#usage-limits
edit: they used to explicitly name the providers, at least in the past DeepSeek V4 was served with official API https://github.com/anomalyco/opencode/issues/24649#issuecomm...
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Everyone wonders that.
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I think they just pass through requests to DeepSeek, so whatever upstream offers.
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I second this, I love DS and am not looking back. For Elixir, not a lot of models are good, but DS just blazes through it.
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Google's Argon model via antigravity is unusable, for a small code review I asked, already spent like 10% of the weekly usage, in less than 10 mins. Very useless imho.

I always find DS or Qwen to be very spot on on audit changes or plans for just a few cents.

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I'm enjoying Alibaba's Token Plan. They don't have any hourly/daily cutoffs. You get your allotment for the month and use it when you want.
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If I were part of a cabal that is interested in preserving control and trying to secure trillions of dollars, it would be a minor effort to nudge and bend the curve against competitors like the Asian AI complex.
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How would you go about that?
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I do not use DS for coding, but for various natural language processing tasks (even translation) in large volume, and it works wonder.

It is very capable for a lot of tasks, not only coding like the other open models.

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> not being randomly blocked for cyber review

Just to test, will GLM – hosted by an infra provider other than Z.AI – also stop answering if I asked controversial questions from the pov of its country of origin? Or third party infra providers can perform some unhinging on the model before hosting? Or actually the blocking happens even before the question reaches the LLMs in that country?

(Note: my paid LLM access at this point are only via DS and GLM subs - 90-95% usage; and a free Gemini Pro access. I hope that adds some cred that I am not trying to take potshots at the their country of origin).

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Depends on the question. Most models won't tell you how to make weapons because they're trained not to, but the political stuff is usually blocked on the API level
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It will not. Ask DeepSeek about Tiananmen Square. It will happily answer
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to add to the corrent sibling answer, the unhinging is called abliteration by the wider community but it's hard to find someone who will serve that over API.
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GLM refuses to write exploits. It's not open season with anything you want.
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Deepseek and Muse are my go to for cheap. both work perfect for basic and mid tier tasks
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What about mimo v2.6 pro?
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I’ve jumped between mimo and ds quite a bit lately. Mimo seems to be slightly better in terms of what it can achieve in terms of end results. But it gets there very slowly, and in a super convoluted way. Sometimes it’s almost frustrating to read its reasoning. Also I’ve noticed that it tends to not use tools in the harness as much as other models.

I usually default to ds, and if it gets stuck try mimo but usually just for fire and forget tasks. After a bit I come back and see what it did.

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Usually great but it infuriates me sometimes with what it does. DeepSeek is more consistent and certainly faster.
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I mean... I ported some of my childhood Finnish shareware games for Linux and Rust with DeepSeek V4.1 Flash. It took about six hours of spelunking and finally I was pretty happy with the results! I did it twice. Tokens for both of the games were around 3 euros.
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Muse is fantastic for open source work. At least 1.3 was, for its price. Wonder makes less economic sense.
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I like it because it does the thing I want it to do rather than moralizing.

No, I don't care about license provenance for all the components of a 30 line script that i'm using in my house, for myself to sync up some folders. No, i'm not going to find and archive the licenses for all the previous projects leading to this for future legal disclosure.

Yes, I own the DVD for the movie i'm transcoding. No I don't want to talk about the legality of rebroadcast.

Deepseek (and most chinese models as a whole) don't care . oAI and Anthropic models want to make it point #1.

... which is extra hilarious knowing the laws broken to create the damn models in the first place.

there's a literal meme about this floating around the harness/AI chats for the past few months[0]

[0]: https://i.ibb.co/SwH4Sgwq/796779070-28483090404651613-920066...

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I don't see this kind of behavior myself, I wonder if it's me not pushing the boundaries enough or me explicitly or implicitly framing the prompt in a way that makes it less likely for the agent to intervene.
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I think opencode go is the better value to get access to DeepSeek.
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and really , for 90% of standard agentic work, deepseek flash is more than good enough. its the main driver for our Personal Assistant offering and users love it.
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> Deepseek... My next subscription will probably be Z.ai

Wait wut? You do realize that they are two different companies, right?

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Z.ai (well technically alibaba) used to support both GLM and DS models in their API and coding plans.
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z.ai was not alibaba. z.ai got glm and alibaba got qwen
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For us neophytes, what does this mean: “randomly blocked for cyber review”?
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It happens very frequently if you happen to work on anything low level, e.g. a C code base, a database code base, etc. that deals with memory, and these have nothing to do with cyber security. It is extremely annoying and makes these models unusable.
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E.g., your prompt for simple auth works (e.g., decode JWT), but your sessions stop because you are flagged for cybersecurity risk.

The Fable is the worst offender, and it is not purely Anthropic's fault.

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It's happened to me exactly twice in about 6 months of using codex (via pi). Both times were completely bogus and annoying but still, it's not too bad.
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OpenAI's models have a lot less false positives for me. Almost always smooth doing vuln scans and fixing them.

Anthropic, whether Opus 5.5 or Fable, frequently will review for security, and the classifiers fire mid-way while it's fixing something. Authentication and credential related code, including implementation, also trigger safeguards.

Earlier today, I hit what appears to be a sticky "reasoning_extraction" block when attempting to reproduce a LLM paper at small scale, and I asked it ~"tell me more about the idea [X] you considered but dropped". I'm not sure how it works or how long it lasts, but Opus 5.5 has refused to do technical LLM work for me now, even in completely new sessions.

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Agreed, but don’t subscribe to z.ai; their inference is terrible. Stick with openrouter
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Huh, doesn't DeepSeek take the longest because it overthinks way too much? Haven't tested this release yet but was very disappointed with past ones because it takes an eternity to do anything because it constantly overthinks and questions itself way too much instead of just starting.
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It thinks a bit more, but if the cache reads are free or almost free, and it blasts through 10x faster than GPT Sol/Terra/Luna, it doesn't really matter. Just don't use the max thinking for implementation, go with high or low.
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Why not use max thinking for implementation? For cost reasons?
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Because it doesn't make difference for my use. High is good enough! If you do an assistant for yourself, low is more than enough.

It reduces the speed and tends to overthink sometimes which is really annoying. For programming, 4.1/high is the bread and butter in my daily work.

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For time reasons.
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I think, as long as you don't set thinking to max and use a fitting system prompt, it's not a big issue.
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Yes, and this version explicitly addresses that
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4.1 Flash on medium is a solid builder agent
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LLMs don't think.
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I love using glm 5.3 more than deepseek because of performance
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> Being able to see the CoT and not being randomly blocked for cyber review.

I had a bad experience with MiMo from Xiaomi. I had it trigger unsafe content blocks while fixing visual bugs in a completely vanilla space game it just wrote from scratch in the same session. It also got triggered for changes in some other benign greenfield app.

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Isnt Z.ai for GLM? Does Z.ai provide Deepseek?
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also it's cheap, using it in opencode is great
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Note that opencode routes deepseek requests to China.
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I have to ask what's everyone's issue with the requests to China. We've had 25 years of American big tech basically capture all our data, and use that to make insane profits.
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This is a false equivalency. American providers don't answer to their government.
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When the White House told Anthropic to take Fable offline - they did it. They are all going to comply with FISA warrants that the public will never see.
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What? The US govt has in practice unlimited access to whatever that's hosted in the US, or even outside by a US company. It's called the CLOUD act.
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Of course they do. See Zuckerberg's episode on Joe Rogan.
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And that changes things how exactly? The problem is that American companies have been stealing our data for decades, not their ties to the government.
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Oh but they absolutely do. The difference was mainly that up to a few years ago, the American government (generally) didn't care to repress those with the "wrong" opinions. Whereas China was always quite adamant about it.
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Sure. Can you tell me why that means that it's ok for Chinese big tech to capture all our data?
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The government that is most likely to use your data against you is the government of the country you live in. If a foreign government wanted to use your data against you the easiest way for them to do it would ironically be to send it to your government.
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Makes sense in short term & for personal queries. A German or Norwegian model provider shouldn’t tattle on US Southerners seeking reproductive care.

Long-term & software engineering fronts: I hear occasional railing against “US hegemony”. Anyone concerned that if a new tech gives rise to a different country, they’ll become the source of ire instead? (This isn’t my field, at all.)

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My code is opensource, china already has it. For my professional work we have entreprise plans with OpenAI / Anthropic
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For an average European, why is it better than routing requests to the USA?
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Chime-in for an average non us citizen why is it better ?
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The argument has never been that it would be better (a domestic EU provider would obviously be better than either from a data handling perspective). But its not obviously worse
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Valid question. I have no 100% factual answers and neither does anyone else here.

So I go with feeling, and that feeling says that China is worse. The feeling is partially supported by the fact that China is softly backing Russia in its attack against the west.

Trump's USA is obviously completely horrible, but he is also in large part a product of Russian influence, which again is part of the larger block in which China resides.

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"The west" is a stupid idea America uses to force themselves and Israel into the same league as EU countries.

And China is not really supporting Russia, they make money off the war and want to keep it going as long as possible so both Russia and Ukraine become weak and more open to their influence. Is it evil? Absolutely, but you can't compare them to USA when Trump is actively doing regime change operations, deporting its own citizens and putting sanctions on the ICC.

Chinese communists want to stay in power at all costs but America wants to expand its power into the whole world. It's not the same level of danger at all.

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> want to keep it going as long as possible

note that the volume of EU and US support to Ukraine is obviously calibrated to the same goal.

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Yes I unfortunately trust those who are motivated by money more than ideology. Greed, while horrible and ugly, is at least very predictable. Messianic, or even utopian or pretty much any ideology, can lead to absolutely insane levels of destruction. You just don't know what true believers of any sort are willing to do.
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>And China is not really supporting Russia

Yes, yes they are.

https://en.wikipedia.org/wiki/China_and_the_Russo-Ukrainian_...

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To be fair, east and west are in relation to England, not the US.

Trump’s a smelly orange shit but the US at least pretends to have data privacy protections and we can’t legally compel companies to have back doors… yet. I think. It’s very hard to keep up with all the nonsense these days.

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> and we can’t legally compel companies to have back doors

In a post-Snowden world where the existence of PRISM is no longer a secret, I'm not sure how folks can keep stating this with a straight face

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Opencode also has a setting to not route to China, though this would probably just disable the models that do not have providiers in alternative locations.
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If you pay for a business plan on openrouter (I know, it’s not opencode, just another option), you can geo lock providers if China is a concern.
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Doesn’t that depend on the router service provider?
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For 99% of the tasks any model really would do, even GPT 5.4 from an year ago.

It's only for long running/very difficult cases that the differences are here, and they are small.

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I can think of plenty of tasks that even the closed frontier models fail miserably at. From my perspective we have a long way to go for these models to get better.
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I'm sure they exist, but it's not the bulk of the work.
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My prediction is that in in a few years, maybe more, the current models will be seen as so primitive that they're not worth mentioning outside of a historical context.
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What a bold prediction /s
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still a myracle to me what people achieve with it? I tried so many things with it, everything is broken it produces
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