MiniMax M3 Review: Matching GPT-5.5 and Opus?
The MiniMax M3 has been launched as an open-weights, multimodal model that aims to compete with leading models like GPT-5.5 and Opus. It features a new MiniMax Sparse Attention mechanism that significantly improves processing speed while maintaining quality. Initial tests indicate that M3 performs impressively in practical applications, suggesting it may close the gap with its more established competitors.
- ▪MiniMax M3 launched on June 1, 2026, with a 1 million token context window.
- ▪The model features MiniMax Sparse Attention, which enhances processing speed and efficiency.
- ▪Initial tests show that M3 produces high-quality results comparable to leading models.
Opening excerpt (first ~120 words) tap to expand
← Back to BlogAI NewsJune 1, 2026·10 min readMiniMax M3 Review: Finally Matching GPT-5.5 & Opus?Tags:MiniMaxLLMAI CodingDeveloper ToolsReviewI don't really enjoy writing model reviews. There, I said it. After the tenth "this new model is faster and smarter than the last one" post, you start to feel like you're describing the same car with a fresh coat of paint. So when I tell you this MiniMax M3 review is one I actually wanted to write, take it as a signal. M3 is interesting. Not "interesting for a Chinese open-weights model." Just interesting, full stop. I've been in the MiniMax corner for a while now. I liked M2.5 when it landed, and I liked M2.7 even more. But there was always the same asterisk in the back of my mind: genuinely good, just not GPT-or-Opus good. A gap you could feel.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Thomas Wiegold - AI Solutions & Web Development.
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