saqadri 3 days ago

OP here -- I think the general principle I would recommend is using a big reasoning model for the planning phase. I think Claude Code and other agents do the same. The reason this is important is because the quality of the plan really affects the final result, and error rates will compound if the plan isn't good.

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haniehz 3 days ago

based on the article, it seems like a good reasoning model like gpt5 or opus 4.1 might be good choices for the planner. I wonder if the gpt oss reasoning models would do well

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  • diggan 10 hours ago

    Personally been using GPT-OSS-120b locally with reasoning_effort set to `high` and it blows pretty much every other local model out of the water, but takes a lot of time for it to eventually do a proper content reply. But for fire-and-forget jobs like "Create a well-researched report on X from perspective Y" it works really well.

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    • cyberninja15 9 hours ago

      what machine are you running GPT-OSS-120B on? I'm currently only able to get GPT-OSS-20B working on my macbook using Ollama

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  • koakuma-chan 11 hours ago

    Gemini 2.5 Pro is also a great reasoning model, I still prefer it over GPT 5

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    • luckydata 9 hours ago

      Gemini is great, it's just incredibly clumsy at tool use and that's why it fails so often in practice. I'm looking forward to the next version, it will for sure address it, it's a big issue internally too (I'm a recent xoogler).

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      • reachableceo 8 hours ago

        Yes it really is horrible at using tools. Codex is way better (even better than Claude code ). Gemini is great at doing audits and content (though I’ve switched to codex for everything all in one).

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      • PantaloonFlames 8 hours ago

        Can you elaborate on “clumsy at tool use”?

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        • luckydata 3 hours ago

          have you ever witnessed how sometimes Gemini makes multiple attempts at writing a file only to give up and start chanting "I'm worthless...".

          That's tool use failure :)

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