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MiniMax M3: O Poder da Inteligência Artificial Acessível no Serviço Público
Nos últimos anos, a tecnologia tem avançado a passos largos, e a inteligência artificial (IA) se destaca como uma ferramenta revolucionária, especialmente no setor público. Um exemplo notável é o modelo de IA MiniMax M3, que não apenas se destaca por suas capacidades, mas também se apresenta como uma alternativa acessível, superando soluções como o Opus 4.7 em termos de desempenho, enquanto é 50 vezes mais barato.
Como servidor público com mais de 16 anos de experiência, percebo que a adoção de tecnologias open-source, como o MiniMax M3, pode ser um divisor de águas para a administração pública. Sua capacidade de aprendizado e adaptação oferece uma oportunidade única de otimizar processos, aumentar a eficiência e, consequentemente, melhorar a entrega de serviços à sociedade.
A verdadeira questão que devemos refletir é: como podemos incorporar modelos como o MiniMax M3 em nossas rotinas administrativas? A resposta pode residir na identificação de áreas que se beneficiariam da automação e análise de dados. Por exemplo, processos de atendimento ao cidadão, gestão de recursos humanos e até mesmo na análise de políticas públicas podem ser significativamente aprimorados.
Ademais, ao ser uma solução open-source, possibilita que mais profissionais da área pública se envolvam no desenvolvimento e personalização da IA, fomentando um ambiente colaborativo e inovador. Vale a pena considerar como essa tecnologia pode não apenas economizar recursos financeiros, mas também potencializar a qualidade dos serviços prestados.
Portanto, convido todos os colegas do serviço público a refletirem sobre as possibilidades que o MiniMax M3 e outras inovações tecnológicas podem trazer para nosso trabalho cotidiano. A era da inteligência artificial está apenas começando, e as oportunidades de transformar os serviços prestados à sociedade estão diante de nós. Que possamos abraçar essas mudanças de forma consciente e proativa, para construir um futuro mais eficiente e conectado com as necessidades da população.
Aprenda tudo sobre automações do n8n, typebot, google workspace, IA, chatGPT entre outras ferramentas indispensáeis no momento atual para aumentar a sua produtividade e eficiência.
Vamos juntos dominar o espaço dos novos profissionais do futuro!!!
#MiniMax #INSANE #Opensource #Model #Beats #Opus #50x #Cheaper #Fully #Tested
📌 LINKS & RESOURCES
AI NEWS: https://x.com/intheworldofai
Blog: https://www.minimax.io/models/text/m3
MiniMax Token Plan 12% OFF: https://platform.minimax.io/subscribe/coding-plan?code=7wo3OMYznH&source=link
MiniMax Platform: https://platform.minimax.io
API Documentation: https://platform.minimax.io/docs/guides/text-generation
Open Router: https://openrouter.ai/minimax/minimax-m3
Minimax MCode: https://agent.minimax.io/
With all the features ChatGPT offers in their $20 per month plan, minimax removing their $10/m plan is lame. A lot of us switched to minimax because of the lower cost. Increasing their plan to $20 makes them less worth paying for until their services become better than US based AIs.
another "better than opus" model?? I tested this out. this ain't even better than opus 4.5
it couldnt even handle the prompt "test"
[stream.message] Environment Variables not configured
/api/session/:id/message
so many bugs.. not a professional business
MSA architecture + 1M context is worth examining. The rest is sponsor copy.
I was here since 2.7
Claude Oceanus, Anthropic AGI Claims, GPT-5.6 Checkpoint, GLM 5.2, Nemotron 3 Ultra & More! AI NEWS!: https://youtu.be/h6_v1IBqmNI
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an open weight model competing with opus and gpt 5.5 on complex agentic workflows is huge news for the open source community. the fact that it was natively trained on multimodal data from day one really shows in those 3d three.js rendering tests. the water simulation output was mind blowing for a zero shot generation. whenever i use these models to generate heavy svg animations or raw html files i just zip them and toss them on tiiny host to test the browser rendering performance before doing any manual tweaks. those api prices are incredibly aggressive too
GPT-5.6 Leaked, Mythos Benchmark Leaks, Hermes Desktop App, Qwen 3.7 Plus, & More! AI NEWS: https://youtu.be/GJAgh8isVLk
M3 is really good, but I think the 1M context window only works on their own agent, I tried it on Hermes and it only had 0.5M
yet in the real world tests carried out by Y J X youtuber M3 failed hard against Opus.
Seems like like also added 5h limits and weekly limits. Just subscribed as their subscription page makes it seem like these sort of limits are not there, kinda regret it now.
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Every morning I check AI news and discover models I've never heard of
so they dont want to test it on the new SWE benchmark that actualy shows how good models are? xD this also feels like it will chugg tokens like crazy. could be wrong tho. using M2.7 pro, and i have to say i likes qwen3.6-pro better gor agentic work (3.7 is bacisaly just 3.6 with more context). i did like Minimax2.5 tho, but for some reason everything newer seems worse. also why do they limit you with max number of agents in subscription? if i buy 1.7b tokens with my sub i should be able to spin 300 agents and burn it all in 1 day if thats what i seeded :/ also testing them on frontend is not realy showing anything about the model. its literaly the easiest thing to do for a model given that 80% of online code is frontend. but that doesnt help you much when you try to do anything else.
EDIT: just tested it on opencode and its way too expencive xD
cloud poo no thanks
Can you share the prompts you used to benchmark it I want to test it against my local model quants.
Thanks for the update. Things change quickly in the AI world! I hooked up MiniMax M3 via OpenRouter to my hermes agent and was quite pleased with it. It still burns through the tokens surprisingly quickly though. I sometimes wonder if a model showing as using less tokens actually does in practice. I also wonder what's going on behind the scenes at OpenRouter… Call my cynical.
GPT 5.5 vs Opus 4.8 vs Gemini 3.5 – Which Model Should You Use?: https://youtu.be/3SZ0oCDSVbM
Ollama dose not serve their model correctly for m3 to perform anywhere near what it claims it can do, probably served it as a quantised version or something. Disappointment.
when you hear the sentence beats opus 4.7 you should know its atrash model
What is with this new generation of creators happily creating undisclosed ads
I signed up for MiniMax M2.7 for a month and I didn't like it as much as qwen 3.6 and others so I cancelled my subscription. It ended yesterday or the day before. Oh well, at least I can try it with open code Go and see if I want to subscribe again.
Tried it. It truly sucks. Isn't even Opus 4.6 quality. Just awful on anything larger than a toy HTML page
I just bought a subscription for minimax, 20$ mo, it has a very good code generation quality and it is cheaper than any other model (Using minimax M3)
Benches are great and all, but how does it do in actual usage?
this should be a big SLAP to Github Copilot due to greed by shifting to token based billing
😂😂😂 this is crazy men. i just still cant believe. i love china 😂
just crazy 😂😂
does it beat 4.8
This is pretty awesome. I'm still blown away about how good DeepSeek v4 flash is. I've been using it in pi with openrouter using a zdr provider (zero data retention). That thing has redefined what you can get an agent to do for the money. It's way cheaper than this m3 model btw. I'm sure m3 is a lot more powerful but i'm surprised more people aren't talking about V4 flash.
deepseek sunk?
The pellican pedaling backwards but the bycicle is going forward 😂
Does it really beat Opus 4.7?
Can you locally run it?
minmax is $20 per month, right ?
Do you guys use the Chinese models for actual complex work, or just shitty web pages and stupid animations? Mate on any complex project that requires physics and maths, the Chinese models are absolutely shit, no wonder their cheap. They are shit, the amount of code I had to manually fix and get working, and algorithms they skipped is ridiculous. Next time instead of bull shiting, try and do actual problem solving with the Chinese models.
This model is insane. The only downside so far is their minimax code app. If they work on it and make it as good as Codex or Claude Code, it would be much better, for exemple adding mcp in codex is very easy and the UX imo in codex is unmatched