Are there any open models that can actually compete with proprietary ones like GPT 5.5 Extended Thinking or Claude Opus 4.7? I am getting really good results with those in their chat interfaces for coding tasks. They sometimes spend 30-45 minutes working on my task and have an internal container they are doing tool calls on, like cloning a repository and compiling their code, and can find online documentation. Their answers are very good and usually correct for very complex tasks requiring specific protocols.

So I would like to know how well we can replicate this using open models since I want more control over how it runs, and privacy. Do any of you hook in agentic capabilities into your local models? How do you do it, and which models give you good results?

Pretend I have unlimited resources (local llama.cpp, sufficient fast storage/memory, and unlimited time to wait for a good response).

    • hok@lemmy.dbzer0.comOPEnglish
      1·
      4 months ago

      Thank you for your opinion & recommendations. Something I saw today related to “sub-agents” is in Kimi 2.6’s model card it says

      Elevated Agent Swarm: Scaling horizontally to 300 sub-agents executing 4,000 coordinated steps, K2.6 can dynamically decompose tasks into parallel, domain-specialized subtasks, delivering end-to-end outputs from documents to websites to spreadsheets in a single autonomous run.

      So maybe Kimi 2.6 is doing the “type of thing” I am looking for, but I don’t have the means to run it practically. Maybe at 1 token per second which would be brutal.

      I tried out Qwen 3.6 27B but not yet in an agentic setting, so I can’t really judge yet. Maybe it’s just me but the small model size seems limiting. I thought gpt-oss-120b was good.

  • Zikeji@programming.devEnglish
    4·
    4 months ago

    I’ve been running Qwen 3.5 122B A10B but recently swapped to Qwen 3.6 35B A3B - both using OpenCode e as my agentic harness (though I’ve also used Pi). I’ve been happy with the output, though I have to be more precise with my prompts and do planning passes.

    • ɔiƚoxɘup@sh.itjust.worksEnglish
      1·
      4 months ago

      That’s my problem. None are there yet, at least with my hardware.

      If you’ve got 20 grand to spend, there’s a couple of models out there, like the one mentioned above that should do fine.

      • hok@lemmy.dbzer0.comOPEnglish
        1·
        4 months ago

        What I have yet to learn is how much of the intelligence and accuracy comes from the model itself and how much comes from the agentic tool system. For example, my experience with ChatGPT probably would be much worse with the free version (no thinking or container).

        • ɔiƚoxɘup@sh.itjust.worksEnglish
          1·
          4 months ago

          I’d say it’s 60-40 or 40-60. Both are important and have a large bearing on your results, but 128B and 8B will always have a big difference in reasoning capacity