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MiniMax M2.1: Built for Real-World Complex Tasks, Multi-Language Programming

minimaxi.com

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Re: MiniMax M2.1: Built for Real-World Complex Tasks, Multi-Language Programming

#11

Post by zaptrem »

jondwillis wrote: post #4

> MiniMax has been continuously transforming itself in a more AI-native way. The core driving forces of this process are models, Agent scaffolding, and organization. Throughout the exploration process, we have gained increasingly deeper understanding of these three aspects. Today we are releasing updates to the model component, namely MiniMax M2.1, hoping to help more enterprises and individuals find more AI-native w…

Not sure it’s a cultural thing since most of the copy coming out of DeepSeek has been pretty straightforward.

Re: MiniMax M2.1: Built for Real-World Complex Tasks, Multi-Language Programming

#13

Post by viraptor »

I've played with this a bit and it's ok. I'd place it somewhere around sonnet 4.5 level, probably below. But with this aggressive pricing you can just run 3 copies to do the same thing, choose the one that succeeded and still come out way ahead with the cost. Not as great as following instructions as Claude models and can get lost, but still "good enough".

I'm very happy with using it to just "do things". When doing in depth debugging or a massive plan is needed, I'd go with something better, but later going through the motions? It works.

Re: MiniMax M2.1: Built for Real-World Complex Tasks, Multi-Language Programming

#14

Post by tw1984 »

jondwillis wrote: post #4

> MiniMax has been continuously transforming itself in a more AI-native way. The core driving forces of this process are models, Agent scaffolding, and organization. Throughout the exploration process, we have gained increasingly deeper understanding of these three aspects. Today we are releasing updates to the model component, namely MiniMax M2.1, hoping to help more enterprises and individuals find more AI-native w…

so when MiniMax released a pretty capable model, you choose to ignore the model itself and just focus a single sentence they wrote in the release note and started bad mouthing it.

is it a cultural thing?

Re: MiniMax M2.1: Built for Real-World Complex Tasks, Multi-Language Programming

#15

Post by p-e-w »

viraptor wrote: post #10
p-e-w wrote: post #2

One of the cited reviews goes: “We're excited for powerful open-source models like M2.1 […]” Yet as far as I can tell, this model isn’t open at all. Not even open weights, nevermind open source.

It's scheduled for release. They jumped the gun with the news. But at far as we know, it's still coming out, just like M2.

I don’t get it. What’s the holdup? Uploading a model to Hugging Face isn’t exactly difficult.

Re: MiniMax M2.1: Built for Real-World Complex Tasks, Multi-Language Programming

#17

Post by [deleted] »

viraptor wrote: post #13

I've played with this a bit and it's ok. I'd place it somewhere around sonnet 4.5 level, probably below. But with this aggressive pricing you can just run 3 copies to do the same thing, choose the one that succeeded and still come out way ahead with the cost. Not as great as following instructions as Claude models and can get lost, but still "good enough". I'm very happy with using it to just "do things". When doing…

[deleted]

Re: MiniMax M2.1: Built for Real-World Complex Tasks, Multi-Language Programming

#18

Post by esafak »

> It exhibits consistent and stable results in tools such as Claude Code, Droid (Factory AI), Cline, Kilo Code, Roo Code, and BlackBox, while providing reliable support for Context Management mechanisms including Skill.md, Claude.md/agent.md/cursorrule, and Slash Commands.

One of the demos shows them using Claude Code, which is interesting. And the next sections are titled 'Digital Employee' and 'End-to-End Office Automation'. Their ambitions obviously go beyond coding. A sign of things to come...

Re: MiniMax M2.1: Built for Real-World Complex Tasks, Multi-Language Programming

#20

Post by simlevesque »

tw1984 wrote: post #14
jondwillis wrote: post #4

> MiniMax has been continuously transforming itself in a more AI-native way. The core driving forces of this process are models, Agent scaffolding, and organization. Throughout the exploration process, we have gained increasingly deeper understanding of these three aspects. Today we are releasing updates to the model component, namely MiniMax M2.1, hoping to help more enterprises and individuals find more AI-native w…

so when MiniMax released a pretty capable model, you choose to ignore the model itself and just focus a single sentence they wrote in the release note and started bad mouthing it. is it a cultural thing?

If I use a software I need to trust it.
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