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

[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.

[gcanyon]

Would it kill them to use the words "AI coding agent" somewhere prominent?

"MiniMax M2.1: Significantly Enhanced Multi-Language Programming, Built for Real-World Complex Tasks" could be an IDE, a UI framework, a performance library, or, or...

[spoaceman7777]

It's not an AI coding agent. It's an LLM that can be used for whatever you'd like, including powering coding agents.

[tw1984]

its main Chinese competitor GLM is like making 50 cents USD each in the past 6 months from its 40 million "developer users", calling your flagship model "AI coding agent" is like telling investors "we are doing this for fun, not for money".

[Tepix]

The weights got released on huggingface now.

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

[kachapopopow]

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.

[azuanrb]

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.

[jondwillis]

> 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 ways of working (and living) sooner.

This compresses to: “We are updating our model, MiniMax, to 2.1. Agent harnesses exist and Agents are getting more capable.”

A good model and agent harness, pointed at the task of writing this post, might suggest less verbosity and complexity— it comes off as fake and hype-chasing to me, even if your model is actually good. I disengage there.

I saw yall give a lightning talk recently and it was similarly hype-y. Perhaps this is a translation or cultural thing.

[tw1984]

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?

[zaptrem]

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

[tomcam]

I still can’t figure out what it does

[esafak]

It's an LLM for coding.

[yinuoli]

It's a neural network model, and it could generate text following a given text.

[prmph]

You are not alone

[tucnak]

You should ask ChatGPT.

[dist-epoch]

Money, it does money

[gempir]

Very anecdotal but for me this model has very weak prompt adherence. I compared it a tiny bit to gemini flash 3.0 and simple things like "don't use markdown tables in output" was very hard to get with m2.1

Took me like 5 prompt iterations until it finally listened.

But it's very good, better than flash 3.0 in terms of code output and reasoning while being cheaper.

[p5v]

Has anyone used this in earnest with something like OpenCode? Over the past few months I’ve tested a dozen models that were claimed to be nearly as good Claude Code or Codex, but the overall experience when using them with OpenCode was close to abysmal. Not even a single one was able to do a decent code editing job on a real-world codebase.

[t1amat]

With M2, yes - I’ve used it in Claude Code (e.g. native tool calling), Roo/Cline (e.g. custom tool parsing), etc. It’s quite good and for some time the best model to self-host. At 4bit it can fit on 2x RTX 6000 Pro (e.g. ~200GB VRAM) with about 400k context at fp8 kv cache. It’s very fast due to low active params, stable at long context, quite capable in any agent harness (its training specialty). M2.1 should be a good bump beyond M2, which was undertrained relative to even much smaller models.

[Invictus0]

How is everyone monitoring the skill/utility of all these different models? I am overwhelmed by how many they are, and the challenge of monitoring their capability across so many different modalities.

[redman25]

https://www.swebench.com

https://swe-rebench.com

https://livebench.ai/#/

https://eqbench.com/#

https://contextarena.ai/?needles=8

https://metr.org/blog/2025-03-19-measuring-ai-ability-to-com...

https://artificialanalysis.ai/leaderboards/models

https://gorilla.cs.berkeley.edu/leaderboard.html

https://github.com/lechmazur/confabulations

https://dubesor.de/benchtable

https://help.kagi.com/kagi/ai/llm-benchmark.html

https://huggingface.co/spaces/DontPlanToEnd/UGI-Leaderboard

[spoaceman7777]

This is the best summary, in my opinion. You can also see the individual scores on the benchmarks they use to compute their overall scores.

It's nice and simple in the overview mode though. Breaks it down into an intelligence ranking, a coding ranking, and an agentic ranking.

https://artificialanalysis.ai/

[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...

[atombender]

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?

[jimmydoe]

they are going IPO in HKEX in a few weeks. some hype up are necessary, not too far fetched imo, pretty much same as anthropic playbook.

[m00dy]

I used gemini-3-pro-preview on Deepwalker [0]. It was good, then switched to gemini-3-flash, It's ok. It gets the job done. Looking for some alternatives such as GLM and Minimax. Very curious about their agentic performance. Like long running tasks with reasoning.

[0]: https://deepwalker.xyz

[sosodev]

I’ve spent a little bit of time testing Minimax M2. It’s quite good given the small size but it did make some odd mistakes and struggle with precise instructions.

[viraptor]

This is an announcement for M2.1 not M2. It got a decent bump in agent capabilities.

[stpedgwdgfhgdd]

Internal Server Error

[01-_-]

me too

[big-chungus4]

can you please fix the login, when I try to log in, it says Unable to process request due to missing initial state. This may happen if browser sessionStorage is inaccessible or accidentally cleared. Some specific scenarios are - 1) Using IDP-Initiated SAML SSO. 2) Using signInWithRedirect in a storage-partitioned browser environment.

[jdright]

https://www.minimax.io/news/minimax-m21

[big-chungus4]

whats the difference

[mr_o47]

I won't say it's same on the level of claude models but it's definitely good at coming up with frontend designs

[integricho]

Their site crashes my phone browser while scrolling. Is that the expected quality of output of their product?

[Tepix]

Should a website be able to crash a browser?

[jedisct1]

If a website can crash your browser, the problem is your browser...

[sillyboi]

Internal server error..

[p-e-w]

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.

[viraptor]

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.

[NitpickLawyer]

Repo made public a few minutes ago:

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

[bearjaws]

Yeah I don't see anyway to download this, ollama has it as cloud only.

[boredemployee]

Internal Server Error

[erdemo]

The intro video is so cringe as their AI agent name.

[monster_truck]

That they are still training models against Objective-C is all the proof you need that it will outlive Swift.

When is someone going to vibe code Objective-C 3.0? Borrowing all of the actual good things that have happened since 2.0 is closer than you'd think thanks to LLVM and friends.

[viraptor]

Why would they not? Existing objective-c apps will still need updates and various work. Models are still trained on assembler for architectures that don't meaningfully exist today as well.

[victorbjorklund]

I’m sure you can find some COBOL code in many of the training sets. Not sure I would build my next startup using COBOL.