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AI CURATED HOT STORY · 10/19/2026

MiniMax Reveals Anonymous Champion M3.1 Flash with 3x Speed and 70% Cost Cut

8 reports archived0 independent sourcesupdated 10/20/2026, 21:29:54
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MiniMax has officially released its new lightweight model, M3.1 Flash, which previously dominated leaderboards on platforms like OpenRouter and OpenCode under the anonymous codename "Space Bunny," processing over 56.7 trillion tokens. This launch marks a significant breakthrough in agentic tasks, code generation, and computer use, with performance metrics ranking first among domestic models in several key areas.

Cross-verified data from Artificial Analysis and Arena.ai confirms that M3.1 Flash achieves top-tier capabilities while optimizing efficiency. The model's intelligence index score increased by 13 points, and it ranked 12th among open-source models in Code Arena WebDev, with a total score jump of 106 points compared to its predecessor. Crucially, inference speed improved nearly threefold, while usage costs dropped by 50-70% due to optimized token output, offering highly competitive API pricing.

The release significantly impacts the developer ecosystem. M3.1 Flash is now available via API and coding platforms, with official weights scheduled for open-source release on October 23. This combination of high performance, low cost, and open-source availability provides a cost-effective solution for complex tasks in high-frequency scenarios, intensifying competition in the lightweight LLM market.

LATEST/MiniMax confirmed M3.1 Flash as the former anonymous champion "Space Bunny," now live on APIs and MiniMax Code with limited-time free trials. Official model weights are scheduled for open-source release on October 23.

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Total 8 reports · Latest first
  1. IT之家 · IT业界T2·78 pts
    • M3.1 Flash shows significant improvements in agentic tasks, coding, and computer use, ranking first among domestic models in key metrics.
    • Inference speed is nearly 3x faster than previous versions, with a 70% reduction in overall usage costs, optimizing economics for high-frequency scenarios.
    • The model is live on APIs and platforms, with official announcements stating that weights will be open-sourced soon for local deployment and customization.