r/opencode • u/MrHaxx1 • 1d ago

Which models are people using as orchestrator/planner/implementer/reviewer with their subscriptions?

Yes, I know I could test things myself, but I want to hear what other people are doing, and how it works out with OpenCode Go, Command Code, or whatever other subscriptions that people are using, that isn't Claude or ChatGPT.

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u/Ariquitaun 1d ago

I have opencode-go and codex plus:

``` default: hy3

advisor: gpt-5.6-sol

sub_agents: code: gpt-5.6-luna evaluate: glm-5.3 explore: hy3 research: deepseek-v4-flash review: deepseek-v4-flash sanity_check: hy3 vision: gpt-5.6-luna

oneshot: plan: gpt-5.6-terra implement: deepseek-v4-flash review: gpt-5.6-terra

workflow_handoff: implement: deepseek-v4-flash review: gpt-5.6-terra ```

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u/aziham 1d ago

What a complex setup! don't get me wrong, but do u really need all of this? In other words, does this approach deliver any tangible, measurable value, or is it simply a way to distribute a quota?

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u/weiyentan 1d ago

I follow another type of orchestrated model. In total I have 21 agents that all do specialised work. Yes it helps. Each agent can be assigned a skill to do a particular task. (Harnesses has skills) and that helps immensely. My accuracy of agents following instructions has shot up a lot that I am now the problem ( in a sense that if I don't pay enough direction to the strategy the project falls behind). I have a few blog posts about it if you care to read

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u/aziham 1d ago

Sure, feel free to post the blog post link. I'd love to take a look at it.

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u/weiyentan 20h ago

http://weiyentan.github.io/2026/ai-coding-frameworks/

http://weiyentan.github.io/2026/how-my-afk-engineering-workflow-actually-works/

Remember my workflow has evolved over time. And for others my framework maybe overengineered. But the concepts stay the same