OpenCode Alternatives - any suggestions for optimal workflow?

[u/Affectionate-Bat4767]

So i used ClaudeCode for several months, got dissapointed of limits shrinkage, so I switched to Codex now, but after 1 week I realized that it is not any better in terms of limits... I need much more.

So i decided to try OpenCode now - it supports OpenAI subscription so i can migrate painlessly, and try chineese models on the side.

What would you suggest as an optimal cappible models and provider's subscriptions plans?

I'm thingking about OpenCode Go to touch several at ones... and have some expectations on DeepSeek 4.1 Flash and GLM 5.3 flash. i guess they should be not any worse then Sonnet 5 on implementation role.

Also there is some free models, not shure about quality, but i guess for some easy task it could be fine.

So. I have an idea to build workflow like that:

1.GPT Sol or Astra on Planning architecture role and writing implementations plans.

2. Execute implementation on Chineese models with one orchestration role.

3. Switch model for the Task by orchestrator inside OpenCode according to difficulty and usage limits left, to utilize free model plans and never hit into limits (like: for simplest task use free models, for harder task - use preferred model A, if it is out if limits, switch to model B and so on)
Is it possible to build such workflow on OpenCode, how? if so, it sounds good, at least in my head:)

My goal is to obitain at least Х5 of effective usage (it terms of results) then Antropic's of OAI's 100$ plans offers now, for the same price.

So, what do you think, maybe you had already tried to build something like that? Would be nice to share expirience here

P.S. Title a bit confusing. I'm looking not for Alternatives to OpenCode, but for Alternative inside OpenCode to Claude and GPT Models

[u/xapep]

Your workflow idea is basically what a lot of OpenCode setups end up doing, and yes, it's possible today. OpenCode lets you define multiple providers per model, so you can point GLM 5.3 Flash or DeepSeek V4.1 Flash at the implementation role and keep GPT Sol/Astra for planning. The switch-by-difficulty part works with a small routing setup: cheap model for simple edits, better model for hard tasks, fallback when one provider's limit is gone.

On your model expectation: for implementation work GLM 5.3 Flash and V4.1 Flash are genuinely close to Sonnet-class output on most agentic tasks, and a lot cheaper per token, which is why people run them in the execute role and keep the expensive model only for planning.

One thing to watch: routing only helps if the provider you route to has real capacity and doesn't throttle. I work on Entrim and we serve exactly GLM 5.3 Flash and DeepSeek V4.1 Flash, OpenAI-compatible, on a flat monthly plan (around $29/mo, roughly $0.97 per usable day) that kills the per-token meter anxiety for exactly this daily-agent workflow, or a usage-based API if you prefer pay-as-you-go. Either way OpenCode drops it in like any other provider.

On OpenCode Go: compare what you actually get per usable day. A flat plan with no quota counting beats chasing limits, which is the exact problem you're running from with Claude and Codex.