u/Friendly-Guard-2395

My experience: I’ve tried both frontier US models and Chinese models, and honestly I didn’t notice a huge gap in many real-world scenarios. Fun fact: I actually fixed an architectural flaw introduced by GPT-5.5 using DS4P once. So it makes me wonder whether the extra capability of frontier models is always worth it

• What tasks do you still think absolutely require frontier models?
• Where are open-source models already matching or beating them?
• Performance vs cost vs privacy tradeoffs how do you balance that in your projects?
• Any memorable wins (or fails) using OSS models that changed how you choose models?

Would love to hear benchmarks, anecdotes, or what you use in production vs prototyping.

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Does opencode go sub uses quantized models? I feel like am not getting the same quality of the direct api of any model

has anyone tried working on a large web codebase with openweight models like DS4 pro and qwen 3.6 plus and max and glm 5.1 and how was the experience compared to gpt 5.4 and 5.5 and opus

what do you think about 3.6 max preview in big codebases copared to gpt 5.4 and opus 4.6 can it puch meduim and some high complexity features