
A tool-integrated AI agent designed to solve complex mathematical problems by interacting with external tools.
ToRA, developed by researchers from Tsinghua University and Microsoft, is a series of Tool-integrated Reasoning Agents aimed at addressing challenging mathematical problems. By seamlessly combining natural language reasoning with external computational tools such as computation libraries and symbolic solvers, ToRA enhances the analytical capabilities of AI systems. This integration allows ToRA to effectively tackle complex mathematical reasoning tasks, outperforming existing open-source models on multiple datasets. Notably, ToRA-Code-34B is the first open-source model to achieve over 50% accuracy on the MATH dataset, surpassing GPT-4's Chain-of-Thought results.
Product overview
ToRA is best understood as a published tool-integrated mathematical-reasoning agent series. ToRA is a series of Tool-integrated LLM-based Reasoning Agents designed to solve challenging mathematical reasoning problems by interacting with tools.
Information as of July 30, 2026
ToRA is a series of Tool-integrated LLM-based Reasoning Agents designed to solve challenging mathematical reasoning problems by interacting with tools.[1]
81/100
Our subjective rating of how independently the product carries out its documented tasks, considering the human setup, input, approval and review it needs. This is not a measured success rate.
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