Hacker News Board Hacker News, browsed like a classic message board
Live data from Hacker News

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

minimaxi.com

Post reply on HN
Print view View original

71–80 of 86 posts

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

#71

Post by homarp »

logicprog wrote: post #48
LoganDark wrote: post #33

Earlier quoted context omitted.

The API is software. You don't get the weights.

The weights are open.

here https://huggingface.co/MiniMaxAI/MiniMax-M2.1

GGUF https://huggingface.co/unsloth/MiniMax-M2.1-GGUF

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

#72

Post by homarp »

atombender wrote: post #57
esafak wrote: post #18

> 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 Au…

Claude doesn't officially support using other, non-Anthropic models, right? So did they patch the code or fake the Claude API, or some other hack to get around that?

you have a few 'claude' proxies on github

llama.cpp recently added Anthropic API support https://github.com/ggml-org/llama.cpp/pull/17570

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

#73

Post by jondwillis »

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?

It’s the first thing in this press release. Start with garbage? I’m going to assume it’s all garbage.

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

#77

Post by sheepscreek »

andai wrote: post #60
azuanrb wrote: post #51

Earlier quoted context omitted.

I generally prefer Sonnet as comparison too. Opus, as good as it is, is just too expensive. The "best" model is the one I can use, not the one I can't afford. These days, by default I just use Sonnet/Haiku. In most cases it's more than good enough for me. It's plenty with $20 plan. With MiniMax, or GLM-4.7, some people like me are just looking for Sonnet level capability at much cheaper price.

Opus is 3x cheaper now. I think it's still not on the $20 plan tho which is sad.

Use Claude Opus in Antigravity. Google is very generous with the limits. The best part is, if you hit your limit, you can switch to Gemini Pro High.

I think Google is able to do this because they host Claude on their own TPUs in their datacentres (probably for Vertex AI customers). So they can undercut just about anyone include Anthropic on costs!

No matter which model you start with, having the other frontier model as a backup is fantastic. Essentially you’re getting 2x the limit.

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

#78

Post by LoganDark »

logicprog wrote: post #48
LoganDark wrote: post #33

Earlier quoted context omitted.

The API is software. You don't get the weights.

The weights are open.

Huh, I couldn't find that in the article when I posted my comment. I checked again now and it's there.

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

#79

Post by kachapopopow »

azuanrb wrote: post #51
kachapopopow wrote: post #40

I think people should stop comparing to sonnet, but to opus instead since it's so far ahead on producing code I would actually want to use (gemini 3 pro tends to be lacking in generalization and wants things to be using it's own style rather than adapting). Whatever benchmark opus is ahead in should be treated as a very important metric of proper generalization in models.

I generally prefer Sonnet as comparison too. Opus, as good as it is, is just too expensive. The "best" model is the one I can use, not the one I can't afford. These days, by default I just use Sonnet/Haiku. In most cases it's more than good enough for me. It's plenty with $20 plan. With MiniMax, or GLM-4.7, some people like me are just looking for Sonnet level capability at much cheaper price.

No matter the price they're far cheaper than a developer and opus / gemini 3 pro are both at a level where they're really useful pair programmers and opus at times can be given a spec to implement and it will do it after 30 minutes with no input from me.

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

#80

Post by tw1984 »

jondwillis wrote: post #73
tw1984 wrote: post #14

Earlier quoted context omitted.

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?

It’s the first thing in this press release. Start with garbage? I’m going to assume it’s all garbage.

you are more than welcomed to call it garbage or whatever else you like. they will just catch up fast and eat your lunch in 6-12 months time.

btw, full weights are now available for download.

Post reply on HN