MiniMax Claims Blind-Test Model Space Bunny, Confirms It as MiniMax-M3.1-Flash

Damn! This is absolutely fire, brothers—this is definitely the most satisfying and hardcore reveal of a king in the LLM world recently, haha,

I suggest watching this official short video in fullscreen to feel what real strength endorsement looks like,

For the past half month or so, a mysterious Space Bunny has been tearing up overseas blind-test platforms, stunning developers worldwide with its blazing speed of 100 words per second and a million-token ultra-long context. Today, MiniMax officially stepped up and claimed it.

Brothers, do you know how explosive this contrast is? The overseas community, trying to dig out whose card this mysterious model really was, ran dozens of tokenizer comparisons and argued fiercely—everyone was guessing which Silicon Valley giant was secretly testing the waters. But when the card was revealed, it turned out to be the domestic mainstay MiniMax-M3.1-Flash.

The first thing to shatter industry inertia was its terrifying throughput in real-world productivity. In the past, running multi-agent or long-context tasks, the most painful part was watching the screen spit out a few characters per second, and waiting through complex code debugging and self-correction drove people crazy,

But in community tests, this Space Bunny's backend generation speed held steady at 85 to 112 words per second. Not only can it run through complex 3D scenes and code builds in a single pass within three minutes, it also delivers near-imperceptible response times in multi-file project repairs.

What's even more intriguing is this hardcore stance of first beating opponents in an anonymous arena. With no overwhelming marketing hype, it stripped the model of all brand halos and threw it into the global blind-test pool, letting the world's most demanding programmers vote one by one with real engineering tasks,

When the final test data proved it could go head-to-head with the top tier in everyday coding and long-text understanding, the official account calmly posted: "Space Bunny, welcome back."

This is the healthiest form of future LLM competition: rather than piling up illusory benchmark scores at launch events, it's better to make inference speed light-speed and a million-token context dirt cheap, so that every ordinary person writing code every day truly feels the thrill of doubled efficiency.

When you usually use agents to write code or process long documents, what do you care about most: lightning-fast response or slow thinking with super-large parameters?

I've found that in everyday bug fixing and rapid prototyping scenarios, this blazing-fast stream of 100 words per second with a million-token context—now that I've used it, I simply can't go back, haha😆 https://t.co/QnLxQiR0ZU