MiroMind has announced the release of MiroThinker 1.5, a 30 billion-parameter AI model that rivals trillion-parameter models like Kimi K2 and DeepSeek, but at a significantly lower cost. This model represents a significant advancement in creating efficient AI agents with extended tool use and multi-step reasoning capabilities, addressing the challenges enterprises have faced with expensive API calls to frontier models or compromised local performance.
A key innovation of MiroThinker 1.5 is its ‘scientist mode,’ which reduces hallucination risks through verifiable reasoning. By training the model to propose hypotheses, query external sources, and verify conclusions, MiroMind ensures auditability and minimizes costly errors in enterprise deployments.
Regarding performance, MiroThinker-v1.5-30B impressively outperforms models with up to 30 times more parameters, delivering superior results on key benchmarks like BrowseComp-ZH at a cost of only $0.07 per call. The model’s extended tool use capability, supporting up to 400 tool calls per session, opens doors for complex research workflows and autonomous task completion.
Moreover, MiroThinker’s Time-Sensitive Training Sandbox offers a unique approach by training the model under realistic conditions of incomplete information, enhancing its ability to reason about evolving situations accurately. The model’s compatibility with existing infrastructure and permissive licensing further ease integration and deployment for IT teams.
MiroThinker 1.5’s emphasis on interactive scaling over parameter scaling represents a shift in the industry towards deeper tool interaction for improved AI capabilities. MiroMind’s approach, founded on the principles of ‘Native Intelligence,’ focuses on AI that reasons through interaction rather than memorization, offering enterprises a cost-effective and efficient AI solution.
Source: VentureBeat