All that keeps jumping out at me is how they've set it to refuse giving users thinking tokens and prompts for full reasoning in output. Just drives me further away; I may not stop using Claude completely for now, but I'll be moving even more of my primary workload to Chinese providers. That's where openness and freedom is now at.
What Chinese models/providers are you using for this? I'm hitting Claude's weekly limits much sooner than I used to with roughly the same workload, so I'm interested in trying alternatives, especially ones with strong coding/agentic performance.
pi+astra for me. Does absolute wonders. When openai starts to squeeze it's chinese models all the way
The whole notion of seat-based pricing seems wrong to me as well.
Crazy how tables have turned. Life seems surreal since 2020.
What Chinese provider would you use that is on par with Claude code?
If you're not a noob and you know what you're doing then I can't recommend DeepSeek v4.1 Flash (set to high) enough.
I think we need more of these issues to frustrate people.
There is a fundamental incompatibility between “safe AI” and compliant AI.
This is an issue when it’s people, Enron or Madoff for example.
I guess it’s : “safe AI, capable AI, and obedient A. Pick one “
Ironic, especially given 100 hundred years of Hollywood proaganda telling the west that the US are the center of freedom.
Which was and is true to some extent.
And don't get me wrong, China is a dictatorship, and a tyranny for some.
But then again, the west is a tyranny for some.
Yeah its annoying. I need to pay for thinking, but I can't see it :/
I mean there is a good reason for that, no? Distillation is an issue.
> All that keeps jumping out at me is how they've set it to refuse giving users thinking tokens and prompts for full reasoning in output
I keep seeing comments added to code, which reads like reasoning output instead of meaningful words. I see this behavior for both OpenAI and Anthropic models (for several harnesses as well).
But this is a sample of one. And I may be in a situation where I'm more negative to the output from LLMs in general.