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## Introduction MiroThinker is an open-source agentic model series. Designed as a research agent for complex, long-horizon problem solving, it integrates strong capabilities in task decomposition, multi-hop reasoning, retrieval-augmented generation, code execution, web browsing, and document/file processing, enabling a wide range of real-world applications. In MiroThinker-v0.2, we introduced three key improvements: - **Richer training data** from both English and Chinese sources, yielding significant gains in benchmark performance and generalization. - **Unified DPO training** with a single preference dataset across all models. - **Extended context length** from 40k to 64k for more challenging multi-turn tool-use tasks. Compared to v0.1, MiroThinker-v0.2 delivers consistent gains across benchmarks. For example, scores improved from **57.3 → 64.1** on **GAIA-Text-103** and from **17.0 → 29.4** on **BrowseComp-ZH**, reflecting substantial advancements in the model’s general research agent capabilities.

## Online Demo Welcome to try out our online demo [here](https://dr.miromind.ai/). ## Performance > [!IMPORTANT] >

> To prevent data leakage during searches, we block Hugging Face domains to ensure the model doesn't access answers through shortcuts. >

### Comparison with SOTA Research Agents

### GAIA Benchmark

## Quick Start MiroThinker-v0.2 is trained on our large-scale, high-quality trajectory and preference datasets MiroVerse-v0.2, utilizing the efficient training framework [MiroTrain](https://github.com/MiroMindAI/MiroTrain), and enhanced with tool-use capabilities through our agentic framework [MiroFlow](https://github.com/MiroMindAI/MiroFlow). To promote reproducibility and benefit the community, we decided to open-source the entire suite mentioned above. For more technical details, evaluation results, and usage tutorials, please visit our [GitHub repository](https://github.com/MiroMindAI/MiroThinker). ## License MiroThinker-v0.2 is licensed under Apache 2.0. ## Contact Us MiroThinker is developed by the MiroMind Foundation Model Team. If you would like to leave us a message, feel free to get in touch. In addition to [GitHub](https://github.com/MiroMindAI/), [Discord](https://discord.com/invite/GPqEnkzQZd), [WeChat](https://huggingface.co/datasets/miromind-ai/MiroFlow-Benchmarks/resolve/main/assets/wechat.png), and [RedNote](https://www.xiaohongshu.com/user/profile/5e353bd80000000001000239), you can also reach us via email at service@miromind.ai.