MiniMax M3 Debuts, Eclipsing GPT-5.5 and Gemini 3.1 Pro on Key Benchmark Performance for Just 5-10% of the Cost
The Shanghai-based startup says the model cuts compute needs to one-twentieth of prior levels and will publish weights on HuggingFace and GitHub within 10 days.
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MiniMax M3 debuts, eclipsing GPT-5.5 and Gemini 3.1 Pro on key benchmark performance for just 5-10% of the cost
Big news in enterprise AI broke over the weekend as Chinese AI startup MiniMax released its highly anticipated M3 large language model on Sunday evening Eastern time, pairing frontier-tier coding and agentic performance with a 1-million-token context window and native multimodality for a fraction of the cost of leading proprietary models, with pricing starting at just $20 per month under its new subscription token plans. The company's leadership…
MiniMax, an AI development company based in Shanghai, China, has announced its AI model, "MiniMax M3." MiniMax M3 has achieved benchmark scores that compete with GPT-5.5 and Claude Opus 4.7, and the company has stated that it will be distributed as an open model within 10 days of its announcement.
MiniMax M3 AI Model New Open Alternative Shakes Up GPT-5.5
MiniMax M3 AI model, launched on June 1, 2026, marks a seismic shift in the artificial intelligence landscape. This deep research report breaks down the architectural breakthroughs, empirical benchmarks, and broader industry implications of a model designed to challenge closed-source titans like OpenAI’s GPT-5.5 and Google’s Gemini 3.1 Pro. MiniMax introduced M3 as its flagship artificial intelligence model, specifically targeting expansion into…
With M3, MiniMax introduces an open-weight model that combines coding at the level of proprietary top models, a context window of one million tokens and native multimodality in one architecture. A new saving-attention technique reduces the computing effort per token to one twentieth of the predecessor. The model weights should appear on Hugging Face within ten days. The article MiniMax M3 bundles coding, 1M context and multimodality in an open m…
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