Shanghai-based MiniMax open sources MiniMax-M1, a model for complicated productivity tasks that supports 1M input tokens and it says beats DeepSeek's R1-0528
Chinese AI upstart MiniMax released a new large language model, joining a slew of domestic peers inspired to surpass DeepSeek in the field of reasoning AI.
Bloomberg
Related Coverage
- DeepSeek rival MiniMax says its first AI reasoning model halves compute of R1 South China Morning Post · Ben Jiang
- 1. Model Overview — We introduce MiniMax-M1, the world's first open-weight, large-scale hybrid-attention reasoning model. GitHub
- MiniMax-M1 comes close to Gemini 2.5 Pro efficiency when handling large context windows The Decoder · Maximilian Schreiner
- MiniMax-M1 is a new open source model with 1 MILLION TOKEN context and new, hyper efficient reinforcement learning VentureBeat · Carl Franzen
- Is China's MiniMax the New Contender in the Global AI Race? implicator.ai · Robert Brown
- Another Chinese startup claims to outperform DeepSeek Sherwood News · Rani Molla
Discussion
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@minimax__ai
@minimax__ai
on x
Day 1/5 of #MiniMaxWeek: We're open-sourcing MiniMax-M1, our latest LLM — setting new standards in long-context reasoning. - World's longest context window: 1M-token input, 80k-token output - State-of-the-art agentic use among open-source models - RL at unmatched efficiency: [ima…
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@reach_vb
@reach_vb
on x
Minimax COOKED: Reasoning M1 456B (45.9BA), supports 1M input context, beats DeepSeek R1 AND Qwen 235B 🤩 > Apache 2.0 licensed on Hugging Face 🤗 [image]
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@koltregaskes
@koltregaskes
on x
MiniMax launch their M1 LLM as open source: - Handles 1M input and 80k output, outpacing top rivals at a fraction of the cost. - Trained using efficient methods, costing just $534,700. - Supports interactive apps with animated particle backgrounds and real-time tracking, per the …
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@teksedge
David Hendrickson
on x
🚨 Model Announcement: I am super excited for this new open-source LLM (MiniMax-M1), a MoE model with 1M context input window. With performance rivaling DeepSeek R1-0528 and even competing with Claude Opus 4 in some benchmarks, this is an amazing new model!! I'm eager to try it. […
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@dorialexander
Alexander Doria
on x
Ok for sure mid-training was going to grow but I'm still having second thoughts about this. You're sure you didn't want to pretrain (??) [Minimax-M1 paper] [image]
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@minimax__ai
@minimax__ai
on x
3️⃣ Visualizations Prompt: Create an HTML page with a canvas-based animated particle background. The particles should move smoothly and connect when close. Add a central heading text over the canvas Canvas+JS, and the visuals slap.👇 [video]
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@minchoi
Min Choi
on x
This is wild. MiniMax-M1 just dropped. This AI agent = Manus + Deep Research + Computer Use + Lovable in one. 1M token memory, open weights🤯 10 wild examples + prompts & demo: 1. Netflix clone with playable trailers [video]
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@teksedge
David Hendrickson
on x
Compare the newly released MiiniMax-M1 80B against Claude Opus 4. MiniMax outperforms Claude Opus 4 in some benchmarks, especially in long-context driven benchmarks. [image]
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@sarthakgh
Sar Haribhakti
on x
Really astonishing how fast open source models are coming out of China [image]