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MiniMax M2.1: Built for Real-World Complex Tasks, Multi-Language Programming
- tomcam 9mo agoI still can’t figure out what it does
- p-e-w 9mo agoOne 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.
- bearjaws 9mo agoYeah I don't see anyway to download this, ollama has it as cloud only.
- viraptor 9mo agoIt'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.
- p-e-w 9mo agoI don’t get it. What’s the holdup? Uploading a model to Hugging Face isn’t exactly difficult.
- NitpickLawyer 9mo agoRepo made public a few minutes ago: https://huggingface.co/MiniMaxAI/MiniMax-M2.1 https://huggingface.co/MiniMaxAI/MiniMax-M2.1
- jdright 9mo agohttps://www.minimax.io/news/minimax-m21 https://www.minimax.io/news/minimax-m21
- big-chungus4 9mo agowhats the difference
- jondwillis 9mo ago> 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.
- zaptrem 9mo agoNot sure it’s a cultural thing since most of the copy coming out of DeepSeek has been pretty straightforward.
- tw1984 9mo agoso 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?
- simlevesque 9mo agoIf I use a software I need to trust it.
- tw1984 9mo agoa model is not software, it is a bunch of weights. you are more than welcomed to pick whatever model or software you choose to trust, that is totally fine. However, that is vastly different from bad mouthing a model or software just because its release note contains a single sentence you don't like.
- monster_truck 9mo agoThat 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 9mo agoWhy 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 9mo agoI’m sure you can find some COBOL code in many of the training sets. Not sure I would build my next startup using COBOL.
- mr_o47 9mo agoI won't say it's same on the level of claude models but it's definitely good at coming up with frontend designs
- viraptor 9mo agoI'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.
- deleted 9mo ago[deleted]
- esafak 9mo ago> 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...
- jimmydoe 9mo agothey 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.
- tw1984 9mo agoanthropic playbook does include the false claim publicly made by its CEO that "in six months AI would be writing 90 percent of code". he made that claim 10 months ago. it is a criminal offence for intentionally misleading investors in many countries. MiniMax is like 100x more honest.
- fluoridation 9mo agoDoes it come as misleading if you honestly believe what you're saying but are simply mistaken?
- sumedh 9mo ago> in six months AI would be writing 90 percent of code Are you still writing code by hand?
- atombender 9mo agoClaude 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?
- Invictus0 9mo agoHow 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 9mo agohttps://www.swebench.com https://www.swebench.com https://swe-rebench.com https://swe-rebench.com https://livebench.ai/#/ https://livebench.ai/#/ https://eqbench.com/# https://eqbench.com/# https://contextarena.ai/?needles=8 https://contextarena.ai/?needles=8 https://metr.org/blog/2025-03-19-measuring-ai-ability-to-complete-long-tasks/ https://metr.org/blog/2025-03-19-measuring-ai-ability-to-com... https://artificialanalysis.ai/leaderboards/models https://artificialanalysis.ai/leaderboards/models https://gorilla.cs.berkeley.edu/leaderboard.html https://gorilla.cs.berkeley.edu/leaderboard.html https://github.com/lechmazur/confabulations https://github.com/lechmazur/confabulations https://dubesor.de/benchtable https://dubesor.de/benchtable https://help.kagi.com/kagi/ai/llm-benchmark.html https://help.kagi.com/kagi/ai/llm-benchmark.html https://huggingface.co/spaces/DontPlanToEnd/UGI-Leaderboard https://huggingface.co/spaces/DontPlanToEnd/UGI-Leaderboard
- Alifatisk 9mo agoI’d stick to artificial analysis
- pylotlight 9mo agoThat has many of its own problems as well.
- spoaceman7777 9mo agoThis 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/ https://artificialanalysis.ai/
- gcanyon 9mo agoWould 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 9mo agoIt's not an AI coding agent. It's an LLM that can be used for whatever you'd like, including powering coding agents.
- gcanyon 9mo agoHA! I almost added a disclaimer to the original message that I wasn't certain in my identification, hence the request/complaint that they didn't make it clear. But I figured the message would be more effective if I "confidently got it wrong" rather than asking, so I went with it.
- pdyc 9mo agoThat reinforces OP’s point that it isn’t clear from their wording. I initially thought it was a speech model, then I saw Python, etc., and it took me a bit more reading to understand what it actually is
- tw1984 9mo agoits 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".
- boredemployee 9mo agoInternal Server Error
- Yash16 9mo ago[dead]
- sosodev 9mo agoI’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 9mo agoThis is an announcement for M2.1 not M2. It got a decent bump in agent capabilities.
- integricho 9mo agoTheir site crashes my phone browser while scrolling. Is that the expected quality of output of their product?
- maximgeorge 9mo ago[dead]
- kachapopopow 9mo agoI 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 9mo agoI 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.
- baq 9mo agoare you counting price per token or price per successful task? I'm pretty sure opus 4.5 is cheaper per task than sonnet in some use cases.
- azuanrb 9mo agoPer successful tasks. The result are mixed. Like you mentioned, it can be cheaper but only in some use cases. I'm only on the $20 plan. If I use Opus and it's not as efficient for my current tasks, I'll burn through my limit pretty fast. Ended up can't use any anymore for the next few hours. Whereas with Sonnet/Haiku, I'm much more guaranteed to have 100% AI assistance throughout my coding session. This matters more to me right now. Just a tradeoff I'm willing to make.
- mjburgess 9mo agoAre you using GLM-4.7? I've just spent a fortune on Opus, and I heard GLM was close -- but after integrating it into cursor, it seems to spin forever, loose tool use, and generates partial? plans. I did look into using it with the claude cli tool, so it could be cursor specific -- but I havent had the best experience despite going for the pro plan with them. Any advise on how you're using GLM effectively? If at all At the moment Opus is the only model i can trust even when it generates "refactoring work", it can do the refactoring.
- Tepix 9mo agoThe weights got released on huggingface now. https://huggingface.co/MiniMaxAI/MiniMax-M2.1 https://huggingface.co/MiniMaxAI/MiniMax-M2.1
- stpedgwdgfhgdd 9mo agoInternal Server Error
- 01-_- 9mo agome too
- gempir 9mo agoVery 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.
- m00dy 9mo agoI 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 https://deepwalker.xyz
- p5v 9mo agoHas 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 9mo agoWith 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.
- GavinNewsom 9mo ago[flagged]
- sillyboi 9mo agoInternal server error..
- erdemo 9mo agoThe intro video is so cringe as their AI agent name.
- big-chungus4 9mo agocan 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.