智通财经网·2026-02-09 08:22Core Insights - The report from Guolian Minsheng Securities highlights the evolution of large models from "chat tools" to "autonomous employees" in the Agent era, suggesting that companies mastering core algorithms and industry interfaces will benefit significantly from the rise of intelligent automation [1] Group 1: Market Trends - As of February 2, 2026, Clawdbot has surpassed 130,000 stars on GitHub and its official website has over 2 million visits, making it one of the fastest-growing open-source technology projects recently [1] - The emergence of "AI-only communities" like Moltbook, which quickly amassed a million agent accounts, indicates a natural increase in request density and API triggers, leading to a significant rise in API call frequency and token throughput [1] Group 2: Model Cost Efficiency - The importance of unit cost for models is increasing, as complex tasks often require multiple stages of interaction, leading to a significant increase in model call frequency and context complexity [2] - Agent services designed for complex tasks may consume up to ten times more tokens compared to basic chat interactions, making the "unit cost × unit output" a critical factor for scalability [2] Group 3: Model Features - The M2.1 model from MiniMax aims to address the high token cost in automated programming, with a pricing structure approximately 8% of that of Claude Sonnet, and introduces a high-frequency refresh mechanism for productivity in heavy development scenarios [3] - M2.1's long text capability allows it to handle ongoing context, accommodating longer documents and reducing logical breaks due to truncation [4] - The model's reasoning and programming capabilities make it suitable for production systems, emphasizing the importance of cost-effectiveness in high-frequency applications [5] Group 4: Multi-Modal Capabilities - As agents enter office and production environments, inputs are increasingly derived from visual information such as screenshots, PDFs, and tables, rather than just text [6] - MiniMax's multi-modal capabilities enhance the agent's ability to understand interfaces, extract key information, and execute steps or code, facilitating "visual-driven automation" [7]