MiroThinker 1.5 - The 30B That Outperforms 1T Models

Explore MiroThinker 1.5, a groundbreaking 30B parameter language model that achieves performance comparable to 1T parameter models through innovative architecture and tool-calling capabilities. Discover how this Qwen3-based model utilizes only 3B active parameters while supporting up to 400 tool calls, making it exceptionally efficient for complex reasoning tasks. Examine the technical specifications, benchmark results, and performance comparisons that demonstrate how MiroThinker 1.5 outperforms much larger models in various AI tasks. Follow along with hands-on demonstrations using both Colab notebooks and online demos to understand the model's practical applications and implementation. Learn about the model's architecture, access methods through Hugging Face, and potential use cases for building LLM agents and advanced AI applications.