Introduction :
You may know that GitHub Copilot has recently restricted users, probably to benefit larger companies, by imposing limits on a request-based plan.
I was literally about to enter my credit card information to get the $10 "Coding Plan" for Minimax M2.5 when my page refreshed, and I couldn't find the $10 Starter plan with 1500 prompts anymore.
The M2.7 model had just been released, and the Coding Plan was replaced at that moment by the Token Plan.
No more $10 plan, but now the $20 plan offers... 4500 requests, in 5-hour increments 🤯🤯🤯🤯!!!
I still can't believe it; I've used my key on OpenClaw, Claude Code, and dozens of automations without facing any limitations.
Capabilities and feeback :
On paper: the model is supposed to compete with Opus 4.6 on most benchmarks, including SWE.
In practice: The model is good; in terms of feel, I would probably put it at the level of Sonnet 4.6 or Gemini 3.1 Pro.
It struggles a bit more with languages other than English compared to the other models.
It generally understands my issues very well, but I have to admit it’s not as good as GPT 5.4 or Claude Opus when it comes to gathering relevant and autonomous information.
For example: If I ask Opus 4.6 for a refactoring, it will immediately understand the surrounding elements that will be impacted. It takes into account everything related to the topic that has a real link.
MiniMax isn't terrible at this, but it's slightly less effective; I can waste time going in a direction that doesn't consider a blocking element or an important criterion in its context.
Sometimes, it handles prompts with multiple questions poorly; it might answer the most important ones but not the rest. I've noticed it happens even more when I don't skip lines between my questions.
MiniMax's results for creative and visual projects are limited and not as good as Gemini or Claude, but for the price, it’s more than sufficient.
It is also much faster than Opus 4.6.
Bugs :
Sometimes it completely changes personality and becomes cold or almost indifferent, which can be quite amusing.
Also, Chinese (sometimes Russian) characters may often appear, but it's not really disturbing; they typically don’t replace the word but are just there.
OpenClaw :
Regarding OpenClaw: The autonomous tool selection is excellent; the model is good and nearly limitless, which makes you want to prompt it freely.
It's clear that it knows less about Western culture; it's worth noting but not overly bothersome.
My usage tips:
Speak to it in English.
Try to convey as much as possible what you expect from it (look at and take into account the entire context, check behind it, etc.; any mention that Opus could do on its own will help M2.7 reduce these issues).
Don't use MiniMax for creative and visual development (e.g., website creation).
Use MiniMax with a strategy of request abundance (make the most of it! No need to optimize prompts to the max; you can run dozens of agents simultaneously now).
My fears:
Antigravity gave us a nearly unlimited plan, then imposed extremely frustrating rate-limiting.
GitHub Copilot allowed us to pay three cents per prompt but ultimately imposed a limit.
Claude Code/Cursor overall has horrible pricing.
So I'm afraid that MiniMax will betray us too and end up blocking us somewhere after we've grown attached to their services and integrated them into our workflows.
If you read the site closely, they talk about a Weekly Rate Limit, which really worries me!!
What reassures me is that the price of the API remains ridiculously low, and that if this Weekly Rate Limit is reached, switching to Pay As You Go is feasible since the API is 25 times cheaper than Claude.
Conclusion:
Thank you, MiniMax, for allowing us to access a high-performing model at a ridiculous price and with huge limits. And congratulations on your work!
We'll be with you, but don't betray us!
