Joining the ranks of a growing number of smaller, powerful reasoning models is MiroThinker 1.5 from MiroMind, with just 30 billion parameters, compared to the hundreds of billions or trillions used by leading foundation large language models (LLMs). But MiroThinker 1.5 stands out among these smaller reasoners for one major reason: it offers agentic research capabilities rivaling trillion-parameter competitors like Kimi K2 and DeepSeek, at a fraction of the inference cost. The release marks a milestone in the push toward efficient, deployable AI agents. Enterprises have long been forced to choose between expensive API calls to frontier models or compromised local performance. MiroThinker 1.5 offers a third path: open-weight models architected specifically for extended tool use and multi-step reasoning. One of the biggest trends emerging in the industry is a move away from highly specialized agents toward more generalized ones. Until recently, that capability was largely limited to proprietary models. MiroThinker 1.5 represents a serious open-weight contender in this space. Watch my YouTube video on it below. Reduced Hallucination Risk Through Verifiable Reasoning For IT …