MiniMax Max Plan Review
Wanted to do a quick review of the MiniMax token plan, specifically the Max plan.
I've been using it as my main model provider, along with the base OpenAI plan for checking my logic on larger system design ideas. I don't vibe code, so maybe that's why I haven't run into any of the reported token usage issues or intelligence problems. It's also possible MiniMax changed or fixed how cached tokens are counted on the plan since I started using it.
To be clear, I started on the base plan that states roughly 1B tokens. That was pretty much in line with my usage and what I was previously spending on V4 Flash before the price increase.
While on the base plan, I used roughly 1.4B tokens according to the gateway I have set up. MiniMax's dashboard showed about 1.5B.
At around the two week mark, I started getting within the 80% range of the five hour usage windows when actually using my agents. So I moved to the Max plan and haven't broken 50% of a window since.
My daily token usage averages around 180M - 280M tokens, so the mid-tier plan has been great for my use case.
As long as you spend fiveish minutes writing out a prompt that clearly defines what you want done, MiniMax, in my experience, is extremely capable of following instructions.
If your main use is with PI, OMP, or Prime, I've found that setting a good soul for each agent works well. I also use a comprehensive two or three tier memory system. That gives each agent a source of truth it can compare against when running instructions, includes other systems in the same environment along with past changes. Been using TencentDB with Hindsight as the semantic layer.
Creating a tiered agent system has also been useful for token consumption.
I've got one main point of contact agent that breaks instructions into basic chunks for other specialized agents. That might be a Reddit research bot, a general web scraper, or another agent built around a specific task.
Each agent only gets the tools, context, and instructions it needs to complete that task. This gives it fewer ways to get off the rails.
Obviously this is just my use case, but so far the Max plan has handled a pretty good amount of usage.
It's also all very human in the loop. The agents that aren't are extremely sandboxed and specialized to a task through their tool limits and harness choice. With that kind of setup, I don't think you would run into many issues with daily use.
This is also pretty much all outlined in the M3 usage tips in the MiniMax docs if anyone wants to read more about it.
TLDR: I'm averaging around 260M tokens a day on the Max plan and haven't broken 50% of a five hour window. My use is mostly structured agent workflows with limited tools and good memory systems, not vibe coding. For that use case, I haven't had the token or intelligence issues I've seen other people report.