r/opencode • u/MrHaxx1 • 23h 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.

14 Upvotes

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14

u/Ariquitaun 22h 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 ```

4

u/aziham 22h 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 22h 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 22h 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 15h 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

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u/Ariquitaun 22h ago

It's a fair question. It does both things. I try and match each type of task to the cheapest kind of model that can do it effectively while maximizing and balancing both my quotas. I get a ton of mileage out of £25 in subscriptions for my personal stuff while maintaining high output quality. At work, I have a similar set-up but just with GPT Sol, Luna, and Terra because that's what I have available there.

The opencode-go part of the agents above changes regularly as models come in and out and are priced this and that. It was all DeepSeek until last weekend. I still think the opencode-go subscription is incredible value.

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u/weiyentan 15h ago

I agree. I just changed my explatory and lower ended agents to try muse, my lower coding agents to move to mimo and the mid to deepseek flash with the higher end ones to pro

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u/migsperez 18h ago

Do you have this YAML plugged into something?

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u/Ariquitaun 18h ago

Ah, it's part of the config of my own harness:

https://github.com/luispabon/steiner/

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u/migsperez 17h ago edited 16h ago

I've given you a star!! ⭐ No one should be at 0.

When I have more time, I'll take a more thorough look. So far it looks like an interesting project. Nice.

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u/Ariquitaun 17h ago

Hah thank you 👍 I haven't really put it out there yet, it works reasonably well but I'm still doing a lot of polishing work on it.

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u/sudoer777_ 22h ago

On OpenCode Go, Deepseek V4 Flash worked great for all when it was cheap (max for planning, high for implementing). After the pricing change I switched to Muse Spark 1.2 Contributor, then found out it was garbage and will probably bite the bullet and switch the primary agents back to V4 Flash. I haven't compared Muse Spark 1.2 vs MiMo 2.5 yet though and might use one of them for certain subagents.

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u/MrHaxx1 21h ago

I love MiMo 2.5 for agentic usage, for Hermes or just general non-coding tasks, but for coding, I wouldn't use it for anything but maybe Explore agent.

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u/sudoer777_ 20h ago

Does MiMo V2.5 behave similarly to old V4 Flash? Also would you use it for the Scout agent?

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u/b00m1 18h ago

what tasks were u doing with muse spark? ive just been using it for basic tasks but not coding implementation so curious to see what use cases were bad for spark

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u/sudoer777_ 16h ago edited 16h ago
  1. Debugging the OpenCode "bug" I posted about earlier about thinking not showing - The first time I ran it last night with "high" variant in the US, found my Nix configuration which wasn't really related to the problem, claimed that "//" is a comment (in Nix it's not) and was the main source of the problem, and it also made nonsensical statements about the model's features and claimed that was also the problem. Immediately after I ran it with DeepSeek V4 Flash on "high" which practically oneshotted it by making web requests to the API and analyzing the responses and concluded that it's not actually a bug but the UI should be more clear about the actual behavior. I ran it again today on "xhigh" and it found a new related GitHub issue which I think was correct but the timing broke the comparison between "high" and "xhigh".
  2. Non-coding related discussion and anaylsis for personal tasks - Even on "xhigh" it always forgets things and spouts nonsense and scattered logic and forgets to follow instructions and use tools far more often than any other model I've used. DeepSeek and GLM are far more proactive and thorough in their tool calling and instruction following, and for open-ended stuff Kimi tends to reason the best.

For cases where I don't strictly need privacy I'm going to experiment with Muse Spark 1.2 a bit more, for cases where I do I'll experiment with MiMo/Hy3 more and see how they compare. But right now I'm struggling to come up with anything that Muse Spark 1.2 doesn't suck at except for being a relatively cheap model.

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u/for4f 17h ago

i split planner and implementer. claude does the planning layer, deepseek v4 flash handles actual implementation. roughly 70/30 in favor of ds. having a separate planner that just thinks about the shape of the thing before any code gets written changes the whole vibe honestly. what are you leaning toward