someone should release something that fits in 96-128gb. Hy 3, mimo, deepseek flash are all close but 256gb (or at least more than 128gb for q4) for high context is requried. Qwen is already at 3.8, but I don’t think have updated their smaller models. I assume you’ve tried q8 version of 3.6, and prefer the larger context window?

Deepseek v4 is already exceptional value, with alibaba hosted version smarter than original release. Mimo 2.5 pro, and minimax m3, are only models… I can access for free testing that pass my benchmark.

Ai analysis has “cost to run tests” data, which also put mimo 2.5, not pro, on frontier curve. But deepseek 4.1, 4.0 silently improved served from main servers today, is going to blow everything away especially with this speculative decoding tech added. 85% faster means 85% cheaper, even if these techs often degrade performance.

what do 4 small stars on flag represent?

Like Randy would say, ok I was going to do it for a cheeseburger, but give me the $10.

waiting 24hr after enabling unverified apps

is it 24 hours “per APK” or for all APKs?

How would you test android apps that you develop?

All of the ID verification, posing as age verification, legislation is for better thought monitoring of social credit too.

Amazing how governments opposed to MAGA/US fascism, ensure the tools for fascism. I will choose “illegal” phone, computer, 3d printer.

IRGC claim of assassination attempt/bombing of his location, prior to this. https://youtu.be/_Ls3AAEXLfU?t=1511

Models getting better does give extra information for making newer models better too. China publishes far more advanced research than US models “steal”, and they open source exceptionally strong/fast models that US can also steal from.

It’s a good point that newer better models are released frequently. Perhaps especially among the open ones.

For my tests, deepseek 3.2 is overrated on this benchmark. Minimax glm kimi are not. For cost parity with opus 4.6, you’d need to see GLM “adjusted score” of 6 (vs 53) and M2.5 score of 3. I get that there is a time saving for the best answer, but there is a benefit to having 5-10x more answers for same budget value.

not as good as recent Chinese releases glm, minimax, kimi, or even as good as 480coder for my tests. But I greatly look forward to a coder version.

ok, ok… I’ll call her a cab.

But, what if she goes into labour on release day?

US corruption means going big on Skynet to buy datacenter time, while somehow giving Nvidia oligarchy the profits of diverting H200 supply to China, so that Skynet becomes more essential as China AI is able to be served/compete better, and Skynet is more expensive to build in US. Chinese governments may be supporting the market share gains, but models are focused on being useful/value today instead of expensive Skynet tomorrow. AI that focuses on more manufacturing is going to make a society stronger than ones that make insurance/banking/other services fire more people. The datacenter overinvestment in US can both destroy AI company valuations, while still creating mass unemployment elsewhere, and too big to fail unsustainable deficit financing of Skynet as a policy response.

opencode is well worth having. It has a better priced Zen gateway that is limited to top models, but priced as you go, and can point to same folder/container as your other tools. Access to openrouter is useful, if only that some models are free. Antigravity is good to have for generous use of gemini. If VsCodium can’t access open models, then other tools can work on same project, and you just reload files they change.

Many open models at 1/10th the cost or lower, are far better than 1/10th of opus 4.6. The popularity reflects much better value. They are especially better if not doing python/js, but functional programming, even if all models are generally bad so far. agents/skills (opencode/antigravity) for models that are strong at instruction following and polyglot software (minimax pretty impressive) actually scored better than raw opus 4.6 on my benchmark, and investing in skills/agents means promise for improving whatever model is released next week.

and the just the top 3 open ones are 50% in programming subsection, which I still think is most relevant to “performance/value”. More than these models growth, I was impressed by downtrend in big US provider models.

I think it’s the largest aggregator/portal of models. 10T tokens in week of feb 2. there’s a list of Openclaw, claudcode, kilocode are among the apps that opt in for tracking (listed at bottom of page). https://openrouter.ai/apps?url=https%3A%2F%2Fkilocode.ai%2F Since Jan 29th, top 2-3 models have been Chinese every day. minimax, glm k2. ponyalpha is glm5 preview.

opencode and antigravity and most other coding apps have an openrouter “gateway” connection. You can also connect by web chat. Some models get promotional/free periods or tokens for partners which can boost stats significantly, but that includes fast/flash versions of US models.

It’s the only dashboard for AI. And exceptionally exhaustive/interactive. Even if open source share rise is result of promotions, its significant that token counts for US models is trending down. Models are no longer sticky, even if for non programming applications, mindshare publicity can get the casuals.

Seems underhyping. They are getting H200s instead of Americans/allies. They have the energy capacity to deploy all the GPUs without impacting other electricity consumers. Often, “we are behind and going to lose” is a rally cry to get more government support.