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Chinese open models like Kimi K3 and Qwen3.8 Max shift the industry's focus back to marginal costs and cost of goods sold, as inference costs scale with revenue

There's a story I tell about my first day in STRT-431 at Kellogg School of Management, the introductory class that every …

Stratechery Ben Thompson

Context & Ripple Effects

Recent coverage positioned Kimi K3 as capable but not necessarily frontier-level, tempering a narrow “AI race” reading of its release. This analysis instead treats the debate over K3’s competitive standing as an economics question: serving model usage becomes more consequential as usage expands.

The cost emphasis has deeper roots in Chinese model development: earlier reporting described companies reducing training costs under export controls. That push to lower model-building costs now connects to the recurring expense of inference.

First-order effects

  • Providers and buyers of Kimi K3 and Qwen3.8 Max have a clearer reason to evaluate models on ongoing serving expense, not just headline capability or training scale.
  • For model vendors, revenue growth raises the importance of gross margin discipline because inference is a cost incurred with customer usage.

Second-order effects

  • Frontier-model providers face greater pressure to justify premium pricing with task-level performance or lower operating costs, rather than relying on model scarcity alone.
  • Enterprise AI procurement is likely to put more weight on cost per useful task and workload routing, creating openings for lower-cost models where top-end capability is unnecessary.

Third-order effects

  • If open Chinese models remain viable at lower serving costs, competition may shift from a contest over a small number of frontier labs toward differentiated infrastructure, distribution, and application layers.
  • The durable dividing line could become who can operate profitable inference at scale, rather than who can claim the largest model; that outcome still depends on sustained quality and availability.

The trend: AI competition is moving toward inference economics, where model adoption and monetization increasingly depend on the marginal cost of serving useful work.

Discussion

  • @deanwball Dean W. Ball on x
    Some observations on Kimi: 1.  It's a very good model!  I don't think its performance can be explained away by distillation or anything like that.  In agentic coding sessions, it seems pretty much on par with the best public models of Q1 2026.  In my fairly limited use, it also s…
  • @davidsacks David Sacks on x
    I'm not sure whether Dean Ball is confessing to a regulatory capture strategy or simply predicting this will happen (he now says the latter). Either way, the weaponization of regulatory uncertainty as a competitive tool should be completely unacceptable. He argues there's no [ima…
  • @willmanidis Will Manidis on x
    My friend Dean Ball has advanced an argument for the de facto protection of American frontier intelligence providers. Dean does not propose banning Chinese open-weight models. Banning things requires Congress. He proposes something more characteristic of the modern
  • @jukan05 Jukan on x
    It's no exaggeration to say I come to X for exactly this kind of intellectual elitism. This is basically porn to me.
  • @martin_casado @martin_casado on x
    “Open-weight models are inherently decelerationist” .... this is a grossly incorrect statement with no supporting arguments or logic that is counter to the long arc of learnings of the industry over the last 50 years. What a stupid thing to say.
  • @egrefen Edward Grefenstette on x
    What the fuck did I just read?
  • @bubbleboi Bubble Boi on x
    This is a level of having your head up your own ass I've never seen before.
  • @francoisfleuret François Fleuret on x
    “Open-weight models are inherently decelerationist” You young people do not know, but we went through exactly the same kind of bullshit when linux started to get market shares.
  • @crypt0lake @crypt0lake on x
    this post has dark energy very american bush-esque energy right here freedom is slavery type language grim
  • @wanguws Howe Wang on x
    I give 6 months [image]
  • @blancheminerva Stella Biderman on x
    It continues to be an excellent heuristic that when employees of trillion dollar corporations shake their fists and scream “you just want communism” you're doing the right thing.
  • @martin_casado @martin_casado on x
    Do you know what open weights model actually decelerate? The formation and power of oligopolies. You know, those things which really do stifle innovation.
  • @buccocapital @buccocapital on x
    OpenAI taking a page out of the Bush administration's playbook. You can get a smart-sounding person to justify anything! If you can get a Ivy League law professors to use constitutional theory of law and the concept of statehood to justify a proactive war on the abstract
  • @rnaudbertrand Arnaud Bertrand on x
    This is a thoughtful post by the Head of Strategic Futures at OpenAI but his claim that “open weight models are inherently decelerationist” is fundamentally wrong. Yes it may be decelerationist for individual companies like OpenAI or Anthropic (and even that's not sure at all)
  • @cgtwts @cgtwts on x
    “Open-weight models are inherently decelerationist”. [image]
  • @jaldrichpl Jonathan Aldrich on x
    It's just so RICH that the Head of Strategic Futures at an organization that (A) was founded as a nonprofit (B) with a vision of promoting OPENNESS in AI and (C) is literally called @OpenAI is now throwing shade at open source / open weight models. How far they have fallen.
  • @albertwenger Albert Wenger on x
    “It is difficult to get a man to understand something, when his salary depends on his not understanding it.” Upton Sinclair
  • @grady_booch Grady Booch on x
    “Open-weight models are inherently decelerationist” Let me reframe that for you: “open-weight models undercut @OpenAI's ability to make piles of money for a product whose ROI is still a large negative number.”
  • @tetsuo_cpp @tetsuo_cpp on x
    Babe wake up, new insufferable frontier lab employee tweet dropped.
  • @qualiascript @qualiascript on x
    it's 2001. open-source Linux is better than Windows on servers. Steve Ballmer calls Linux “cancer”, “communist” and asks for it to be regulated away it's 2026. open-source LLMs are better than ChatGPT/Claude on costs. they are called “decelerationist” and “communist”
  • @drnicka Nick Almond on x
    Unhinged shit from this OpenAI strategy bellend. He admits Kimi is as good as the frontier and it's not basic distillation. So can't just call it theft. So calls open models communist instead. Anything that is a “public good” is commie apparently. Somehow then makes the leap
  • @ruima Rui Ma on x
    Oh look someone who works for OpenAI telling you that - AI is so dangerous! How can you let anyone but us handle it! - Anyone who lets other people use it basically just doesn't understand tech. They dumb boomers. We smart tho. Never mind their regulations actually show a
  • @pawelwargan Paweł Wargan on x
    OpenAI's Head of Strategic Futures says that AI as a public good rather than a “market product” is a path towards a “dystopian hellscape” of automated communism. These people are fighting tooth and nail against the democratisation of technology — and they are losing.
  • @deepdishenjoyer @deepdishenjoyer on x
    lmao openai admits it does not want fully automated luxury space communism, they are openly admitting they want technofeudalism where they own everything [image]
  • @thdxr Dax on x
    “One probable outcome of an open-weight-model-dominant world is full AI communism” [image]
  • @signulll @signulll on x
    i can probably take this thread point by point & counter it hardcore but the quote tweets have done that so it's not that interesting. but beyond that.. you as an openai head of policy simply cannot publicly post content where you blatantly introduce mechanics for fud
  • @jun_song Jun Song on x
    An OpenAI (aka ClosedAI) executive is really out here saying the most absurd things. They're claiming that open-source AI is decel and wants a dystopia—the biggest load of nonsense I've ever heard. It's pretty obvious they're just terrified of their own company going bankrupt.
  • @batwood011 Brian Atwood on x
    This is grotesque. I bet Dean is a good, smart guy. Yet he is trying to convince you that hosting an LLM in your basement - private and sovereign, as the Founding Fathers would have wished - is dystopian communism. Now why would he do that?
  • @benjaminnorton Ben Norton on x
    This guy who works at the poorly named OpenAI (or more accurately ClosedAI) laments that China's open-source models could lead to: “full AI communism, which is precisely what China proposes: rather than a market product, AI is a ‘public good’ which will ultimately be provided by …
  • @growing_daniel Daniel on x
    Okay, I'll take a hack at Deans argument without his conflict of interest. What China is doing in AI is called dumping. They do it in literally every industry they enter. The goal is to kill all local competition by subsidizing their own industry so they can produce at a loss,
  • @dillon_mulroy Dillon Mulroy on x
    actually an insane thing for openai's head of strategy to publicly say [image]
  • @yacinemtb Kache on x
    You know that thing that happens when you can't read a big blob of text because an LLM wrote it and it contains zero entropy? Yeah
  • @dee_bosa Deirdre Bosa on x
    The irony of this: China's strategy is remarkably capitalist... use free models to win distribution and capture the ecosystem. This meanwhile proposes gov't intervention to shield American labs from competition. America is better off competing than manufacturing FUD
  • @jachiam0 Joshua Achiam on x
    Some observations, in the wake of the Dean Ball open source discourse. In my long tenure at OpenAI and as a public commentator on social media, I never felt pressure from OAI leadership or the comms department to say or post anything; I always gave my own view. It's possible I
  • @stevehou Steve Hou on x
    I mean it's pretty clear that the direction of travel would be to nudge US enterprises away from Chinese open models by soft rules against companies using Chinese models while doing business with the federal govt. It doesn't take much to send a signal. It'll likely be bipartisan.
  • @deanwball Dean W. Ball on x
    @teortaxesTex Senior usg officials attacked me for the take. It is *insane* to suggest my analysis is legitimizing these clearly longstanding conversations
  • @teortaxestex @teortaxestex on x
    Remember: @deanwball doesn't write USG policy anymore, but he has a fairly good idea of how it can develop. It doesn't much matter if he approves. Dunking on Dean in his OpenAI employee capacity is fun. Is this fun too? Well, *I* am having a lot of fun. [image]
  • @jukan05 Jukan on x
    Damn, this is exactly what @deanwball said, isn't it? [image]
  • @jukan05 Jukan on x
    U.S. EYES TOUGHER CURBS ON CHINESE AI THE TRUMP ADMINISTRATION IS REPORTEDLY CONSIDERING STRICTER RULES ON CHINESE AI MODELS AFTER THE LAUNCH OF MOONSHOT AI'S KIMI K3. OPTIONS INCLUDE REQUIRING U.S. HOSTING PROVIDERS TO GUARANTEE THE SECURITY OF CHINESE MODELS AND ACCEPT
  • @stratechery @stratechery on x
    Who's Afraid of Chinese Models? Everyone is worried about Chinese models, but the frontier labs will be fine; we need to enable open U.S. alternatives. https://stratechery.com/...
  • r/LocalLLaMA r on reddit
    Sources: parts of the Trump administration are reigniting efforts to implement de facto bans on foreign open-source models, as Chinese AI models gain momentum
  • @natolambert Nathan Lambert on x
    The price of fearmongering. Will hurt the US medium term.
  • @deredleritt3r Prinz on x
    Axios: - The USG is “showing signs it could ban cutting-edge Chinese models” following the release of Kimi K3. - Confusingly, the same article later clarifies that it likely wouldn't be a direct ban, but rather some combination of the following: 1. Procurement rules. The
  • @danielnewmanuv Daniel Newman on x
    Of course the USA isn't going to just let China repackage American innovation and sell it back to its enterprises at a discount. I can't believe people fall for this crap in the first place. 😮‍💨
  • @rickyho_1989 Ricky Ho on x
    This is no longer about national security. It is about economic security. Washington is beginning to recognize that China's AI progress is no longer hypothetical. Models like DeepSeek and now Moonshot's Kimi K3 have demonstrated that frontier AI capability is becoming
  • @ryanfedasiuk Ryan Fedasiuk on x
    It sounds like the administration is considering exactly the approach I outlined in April. [image]
  • @kimmonismus @kimmonismus on x
    The Trump administration is showing signs it could ban cutting-edge Chinese AI models Via Axios The Trump administration is reportedly reviving efforts to restrict cutting-edge Chinese AI models such as Kimi through Entity List designations, procurement rules, security [image]
  • @huaijiangzhu @huaijiangzhu on x
    my spicy theory is that chinese ai labs keep winning because of culture, not talent or resources. chinese labs still have a deeply hands-on engineering culture. deepseek and kimi are flat organizations where science and engineering are fused: the same people move between
  • @rabois Keith Rabois on x
    Someone actually understands what is going on.
  • @bindureddy Bindu Reddy on x
    Wow - woke up to some really bad news The nightmare scenario is coming true - the US may ban open source models Europe and China will dominate the global AI market and kill the US - If this happens
  • @emollick Ethan Mollick on x
    We need clarity about what sorts of threats the government is worried about. To what extent is this just intended as an industrial policy & to what extent is it based on a real security risk? The investment going into building on top of Chinese open models is huge, stakes are big
  • @thezvi Zvi Mowshowitz on x
    Posting on Kimi K3 paused for incorporation of breaking news; I had an entire section on @deanwball predicting this and various people creating a clarifying moment by becoming unhinged, but it hits different now that we know this is already under serious consideration.
  • @scaling01 @scaling01 on x
    everyday americans will live in the permanent underclass, while europeans will enjoy cheap chinese open-source models I like this timeline
  • @perrymetzger Perry E. Metzger on x
    If this happens, it will hand the race to the Chinese. Most of the users worldwide will continue using Chinese models, US firms will be unable to benefit from or build on top of those models, and so we'll have the worst of both worlds.
  • @andrewcurran_ Andrew Curran on x
    This does explain some of David Sacks's posts yesterday. It was known for a while that open-source regulation was a contentious debate ongoing within the administration, and he would have been strongly against it. https://www.axios.com/...
  • @andrewcurran_ Andrew Curran on x
    The Trump administration is considering an executive order, and other means, to ban Chinese open-source models within in the United States. Kimi K3 has reignited this debate. Reporting this morning by Axios. Commerce is also considering adding Chinese AI labs to the Entity List. …
  • @leothecurious @leothecurious on x
    lots of “open vs closed strategy” discourse on the tl since the banger ~frontier open weights drop from kimi k3. unfortunately, much of those takes seem to be taking sides at the expense of nuance. both are right but it's not that simple. here's my 2 cents:
  • @andrewarruda Andrew Arruda on x
    this presupposes the legal framework of china and the us are the same as it pertains to training AI, which, so far, they are not. china imposes no copyright liability for AI training @bgurley
  • @perrymetzger Perry E. Metzger on x
    Really, really good opinion piece by @bgurley in the Washington Post.
  • @senatorshoshana @senatorshoshana on x
    I am horribly late to discovering Bill but quickly becoming a huge fan of his thinking “The puzzle worth explaining is not why open models are free. It is why proprietary software has commanded enormous margins since the 1980s, with an artificial scarcity, fenced off by
  • @bgurley Bill Gurley on x
    The way to think about “open” in software is being a low-cost producer (vs a high margin one). When a company (or 2) achieves record valuations in record time, that rightfully attracts competition (as it should). We need to let the free market work. https://www.washingtonpost.com…
  • @benbajarin Ben Bajarin on x
    Overall a great read and I agree with all of it by @benthompson [image]
  • @garrytan Garry Tan on x
    Great reminder to stay frosty