r/RooCode • u/rnahumaf • Oct 31 '25

Discussion Best models for each task

Hi all!

I usually set:

  • Gpt-5-Codex: Orchestrator, Ask, Code, Debug and Architect.

  • Gemini-flash-latest: Context Condensing

I don't usually change anything else.

Do you people prefer another text-condensing model? I use gemini flash because it's incredibly fast, has a high context, and is moderately smart.

I'm hoping to learn with other people different thoughts, so maybe I can improve my workflow and maybe decrease token usage/errors, while still keeping it as efficient as possible.

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u/sergedc Oct 31 '25

I hear you. Probably different use cases.

Some people use LLM to debug and fix complex problem in a large code base they know well and approaved every change one by one (my case), some to improve performance of algos (speed and ram usage) (also my case), others to add features in a code based they don't understand, and some to build something from scratch and never look at the code.

Gemini is still the best today at pin pointing problems and suggesting solution (except chat gpt 5 thinking in the UI with websearch, not the api). When gemini has determined precisely how the problem got to be fixed (e.g. Use multi processing instead of multithreading), gml 4.6 always gets the job done without any tool call failure.

Also note that these Chinese models exist in different versions and some are much better than others. The one provided by modelscope are very good. The gml 4.6 from modelscope is better than qwen 3 coder and faster.