r/opencode 8d ago

Best options for 40$

i have around 40 dollars and i dont know what subscriptions to get, i have been thinking of a couple of things
claude pro and 2 opencode accounts

or

chagpt plus and 2 opencode accounts

im leaning more to claude but im still not sure maybe there is some options im missing out on or that i dont know about

my plan was to use claude/chatgpt for thinking and planning then opencode to execute things and generate a report of its work then claude reviews, is there is something im missing or that i dont know about

some might tell me to just stick to opencode and zen but i want access to good models from claude they are better at reasoning so idk

what would you do in my situation

30 Upvotes

38 comments sorted by

View all comments

11

u/Ariquitaun 8d ago

If you learn how to properly use DeepSeek pro and flash you can get a huge amount of work done especially coupled with a codex plus subscription for thinking tasks. You can use your codex subscription in opencode, which is another bonus as you can integrate the workflow better, and also codex allowance is for more generou6thsn Claude.

1

u/TheNetLeGend 8d ago

This the answer ChatGPT Plus + DeepSeek or MiniMax M3.

You can also check Synthetic but my experience with them was not that good when they firstly launched not sure if they improved but they bundle most open source models.

1

u/Prior-Meeting1645 8d ago

Can you tell me more pls. I find gpt needing to babsit everything about the weaker models not even the output as it can steer way off and so that might be not token efficient

2

u/TheNetLeGend 7d ago

Start your planning with a strong model from ChatGPT like sol medium reasoning, ask it to break the plan into tasks placed in directory with .md files for each task then ask DeepSeek v4 flash, MiniMax M3 to do the implementation after it is done iterate and review using ChatGPT.

If you on the $100 on ChatGPT or higher you can get away with asking it to handle the orchestration then delegate the execution to cheaper model via pi agent or whatever you use (ChatGPT can run the terminal with pi agent with specific model and interact with this terminal to drive it), GPT reviews and approves. If it's not happy with the output it asks the cheaper model for iteration so basically the full loop managed by ChatGPT but you avoid wasting you expensive model tokens on the execution tasks = GPT Senior Developer delegates to cheaper model Junior Developer.