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The MiniMax M2 model is mind-blowing! It's open-source. It outperforms Gemini 2.5, Claude 4.1, and Qwen3 across coding and tool-use benchmarks. Right now, it's one of the world's top 5 models in intelligence! And here is the best part: Claude is one of the best models you can use...

91,263 Aufrufe • vor 1 Jahr •via X (Twitter)

22 Kommentare

Profilbild von zeke
zekevor 1 Jahr

No downloadable weights no code just api access, how's this open source?

Profilbild von Chiyun Wang 王迟云
Chiyun Wang 王迟云vor 1 Jahr

Not convinced, I tried it extensively on lmarena and it's bad, always give the same template design, always mess the markdown. So either it's the lmarena version being trash

Profilbild von Saeed Anwar
Saeed Anwarvor 1 Jahr

MiniMax M2 beating Gemini 2.5 and Claude 4.1 while being open-source is the moment the game changed quietly. nobody talks about it because it's not American, but when your competitor's free model outperforms your paid flagship that's not a technical issue—that's a strategy issue

Profilbild von Bjorn Solstad - Devenia
Bjorn Solstad - Deveniavor 1 Jahr

I tried it, and it fucked up my Claude Code connection to claude ai. Not sure how to set it up in a clean way so they can coexist on my Linux Mint box. Any ideas?

Profilbild von Charles Waters
Charles Watersvor 11 Monaten

I see it on HuggingFace. Seems to require Ubuntu to run on. I'll download and experiment.

Profilbild von Hudpire
Hudpirevor 1 Jahr

is not working; it should be

Profilbild von Karan Jagtiani
Karan Jagtianivor 1 Jahr

Sounds impressive, especially with those benchmarks. Definitely on my radar now.

Profilbild von Rafiul
Rafiulvor 11 Monaten

GLM 4.6 still better

Profilbild von Jai Rod
Jai Rodvor 11 Monaten

Can you use minimax in Claude Code? Instead of sonnet? Or through a subagent?

Profilbild von Suhrab Khan⚡️
Suhrab Khan⚡️vor 11 Monaten

MiniMax M2 is insane! Ultra-efficient and perfect for multi-tool agent workflows. High performance at a fraction of the cost is a serious game-changer.

Profilbild von Andres Rey
Andres Reyvor 11 Monaten

The agentic capabilities are impressive for tool orchestration. For teams building autonomous workflows, this offers a solid cost-performance ratio worth testing.

Profilbild von POGINO-AI Life Coach for Your Goals
POGINO-AI Life Coach for Your Goalsvor 1 Jahr

That’s a huge leap for open-source AI. MiniMax M2 proves that intelligence, speed, and affordability can coexist. If it truly delivers agentic reliability at this scale, we’re watching the next evolution of accessible AGI.

Profilbild von Vansh Choudhary
Vansh Choudharyvor 11 Monaten

Shit; gotta go and try this right now. Something smells fishy though

Profilbild von Saïd Aitmbarek
Saïd Aitmbarekvor 11 Monaten

based share mate!

Profilbild von mzeid4real
mzeid4realvor 11 Monaten

It’s really amazing.

Profilbild von Diwakar Ray Yadav
Diwakar Ray Yadavvor 1 Jahr

Open source models catching up to the big players is exactly what we need to keep innovation moving forward. Top 5 is impressive

Profilbild von Lyceum
Lyceumvor 11 Monaten

Impressive insights! The MiniMax M2 truly sets a new standard in efficiency and performance. Excited to see its impact!

Profilbild von Kamorou Bate
Kamorou Batevor 1 Jahr

Saw it in my recommendation on Google but didn't have time to read it, but with all these I definitely have to check it out

Profilbild von gbdoin
gbdoinvor 11 Monaten

This post was brought to you by… MiniMax, the model that will allow Santiago to maximize his X account revenue with minimum effort. MiniMax!

Profilbild von Franco Robles 🇵🇭🇪🇸
Franco Robles 🇵🇭🇪🇸vor 11 Monaten

Has anyone tried this yet?

Profilbild von Dr. Tristan Behrens
Dr. Tristan Behrensvor 11 Monaten

@grok please find out: How many trainable parameters?

Profilbild von Kenshi
Kenshivor 1 Jahr

It’s rare to find so much capability in a lightweight model that still runs smooth.

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NOBODY wants to send their data to Google or OpenAI. Yet here we are, shipping proprietary code, customer information, and sensitive business logic to closed-source APIs we don't control. While everyone's chasing the latest closed-source releases, open-source models are quietly becoming the practical choice for many production systems. Here's what everyone is missing: Open-source models are catching up fast, and they bring something the big labs can't: privacy, speed, and control. I built a playground to test this myself. Used CometML's Opik to evaluate models on real code generation tasks - testing correctness, readability, and best practices against actual GitHub repos. Here's what surprised me: OSS models like MiniMax-M2, Kimi k2 performed on par with the likes of Gemini 3 and Claude Sonnet 4.5 on most tasks. But practically MiniMax-M2 turns out to be a winner as it's twice as fast and 12x cheaper when you compare it to models like Sonnet 4.5. Well, this isn't just about saving money. When your model is smaller and faster, you can deploy it in places closed-source APIs can't reach: ↳ Real-time applications that need sub-second responses ↳ Edge devices where latency kills user experience ↳ On-premise systems where data never leaves your infrastructure MiniMax-M2 runs with only 10B activated parameters. That efficiency means lower latency, higher throughput, and the ability to handle interactive agents without breaking the bank. The intelligence-to-cost ratio here changes what's possible. You're not choosing between quality and affordability anymore. You're not sacrificing privacy for performance. The gap is closing, and in many cases, it's already closed. If you're building anything that needs to be fast, private, or deployed at scale, it's worth taking a look at what's now available. MiniMax-M2 is 100% open-source, free for developers right now. I have shared the link to their GitHub repo in the next tweet. You will also find the code for the playground and evaluations I've done.

Akshay 🚀

50,323 Aufrufe • vor 11 Monaten