Kinda shows their team is more engineers than marketers.

Hoping it's minor relative to what's coming

It's not really contradictory, minor changes can have major effects.

It's about playing to two different audiences.

The CCP requires extensive certification for new major releases, to make sure a model doesn't do anything they don't want it to.

To get around this, Chinese labs only bump versions when they have to and usually claim it's a minor update.

Then on the other side, they're obviously trying to market to the tech crowd...

It's a bit refreshing to read updates from an AI lab without bullshit doomerism and overwhelming sense of self-importance from shit like OpenAI and Claude.

Also, DS is an excellent model.

That is how exponential functions work. Improve every aspect of a system with 1% and you may get easily 50% more performance.

I have quite the opposite experience: I can do any concrete coding change with any model, but the intelligence limit just doesn't go through more complex debugging examples.

And then when I try a smart model, like Astra medium and it solves it (I had a firmware bug in my new laptop where I couldn't charge through USB-C) on the first try (altough with a repo already having lots of information about the hardware/firmware/debugging programs/traces), I realize how much time I'm losing on the few examples that the less intelligent models are just not able to debug and solve.

Speed and price. You should try the 4.1 Flash on one of the fast providers. It's pretty crazy how fast this model works, and it's great for iterative software development because you can steer it fast to where you want to go.

https://www.lithosai.com/

https://www.coralbricks.ai/

> improve on what's already there for any task I know of

What about "good governance"?

Does it have zero hallucinations? Does it reflect thoroughly on every single idea it uses, verifying its solidity?

definitely could use less thinking time and lower token usage, which is what this bump is focused on

By next year we will likely see GLM 5.3 level performance in Qwen 4 MoE models that can run on most higher end consumer systems.

I don't think there is a reason to care about any of it, just get a few dollars on a few openrouter or similar platforms and just use the models for now, wait for cheaper models that are good enough for you to become available for your hardware.

Sure you might never see frontier performance on consumer hardware but do you really need that though? Does anyone? And if you ever do just get a 30-day sub for that work, and cancel it.

For comparison, close to Opus 5. Far behind Sol 6.1 and Opus 5.5.

Probably a pretty decent model for 90% of the usecases!

I've been doing a lot of hobby work with GLM 5.3 Flash and I can count the amount of times that I need a stronger model on two hands.

I have access to unlimited tokens at works and Opus is great but also often overkill if you know exactly what you need.

Cant you run it on a pair of DGX spark? Sure it's expensive now, but at the initial retail price that was what, 8k in hardware? Not exactly unachievable

Why not just try it yourself?

that's honestly insane. it's like the go-to for when you don't want to use opus 5.5/sol 6.1

Presumably. The current opencode slug for the model is just 'deepseek-flash' suggesting they will just update that one going forward, not keeping versions in parallel.

and do we know which version runs on opencode at the moment (on the free and on the paid version), is there a way to find out?

What crash?

Well, at least mostly everyone outside the US.

That's an image China wants the rest of the world to believe. Towards inside it still fits the typical stereotype.

Anyone that has observed China since the 90s.

There are different types of freedom and China's bet is that as long as they provide enough economic freedom the public will be ok with somewhat restricted social and political one.

At this rate the frontier labs will be Anthropic and DeepSeek, with OpenAI struggling to keep up.