憋大招，MiniMax发布全球首个混合架构开源模型M1 能后来者居上吗？

Core Viewpoint - MiniMax has launched the M1 model, claiming it to be the world's first open-source large-scale hybrid architecture inference model, which significantly improves long text processing capabilities and reduces reinforcement learning costs [1][3][6] Pricing Strategy - The pricing for the M1 model is structured as follows: - For 0 to 32,000 tokens: 0.8 RMB per million tokens for input and 8 RMB for output - For 32,000 to 128,000 tokens: 1.2 RMB per million tokens for input and 16 RMB for output - For 128,000 to 1,000,000 tokens: 2.4 RMB per million tokens for input and 24 RMB for output - The first two pricing tiers are lower than those of DeepSeek-R1, while the third tier covers a market segment not yet addressed by competitors [4][3] Model Capabilities - The M1 model supports a context window of up to 1,000,000 tokens, matching Google's Gemini 2.5 Pro and being nearly eight times the capacity of DeepSeek-R1, which supports 128,000 tokens [4][3] - The model also features the longest inference output capability in the industry at 80,000 tokens [4] Technological Innovation - The breakthrough in M1's performance is attributed to the unique "Lightning Attention" hybrid architecture, which optimizes the attention mechanism for long sequences, addressing the computational bottleneck of traditional transformer models [6] - The introduction of the CISPO algorithm enhances the efficiency and stability of reinforcement learning by optimizing the importance sampling weights rather than adjusting token updates [6] Market Positioning - MiniMax's focus is on accelerating technological iteration rather than immediate revenue growth, indicating a strategic shift in response to competition from DeepSeek and other players in the AI space [8][10] - The company aims to leverage its technological advancements to position itself favorably in the emerging AI Agent market, which is expected to evolve significantly by 2025 [9][10] Competitive Landscape - The launch of M1 comes amid a competitive environment where other companies like Alibaba and Baidu are also releasing advanced models with competitive pricing and capabilities [7][9] - Industry experts suggest that while MiniMax's advancements are notable, the true commercial value will depend on user feedback and practical applications [7][10]