MiroThinker-1.7 & H1: Towards Heavy-Duty Research Agents via Verification
We present MiroThinker-1.7, a new research agent designed for complex long-horizon reasoning tasks. Building on this foundation, we further introduce MiroThinker-H1, which extends the agent with heavy-duty reasoning capabilities for more reliable multi-step problem solving. In particular, MiroThinker-1.7 improves the reliability of each interaction step through an agentic mid-training stage that emphasizes structured planning, contextual reasoning, and tool interaction. This enables more effective multi-step interaction and sustained reasoning across complex tasks. MiroThinker-H1 further incorporates verification directly into the reasoning process at both local and global levels. Intermediate reasoning decisions can be evaluated and refined during inference, while the overall reasoning trajectory is audited to ensure that final answers are supported by coherent chains of evidence. Across benchmarks covering open-web research, scientific reasoning, and financial analysis, MiroThinker-H1 achieves state-of-the-art performance on deep research tasks while maintaining strong results on specialized domains. We also release MiroThinker-1.7 and MiroThinker-1.7-mini as open-source models, providing competitive research-agent capabilities with significantly improved efficiency.
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MiroMind Team
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S. Bai
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L. Bing
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L. Lei
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R. Li
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X. Li
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2026-03-19T13:03:30.098Z
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Xingxuan Li
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X. Lin
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E. Min
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L. Su
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B. Wang
claimed_verified
2026-03-18T08:45:24.644Z
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Bin Wang
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binwang
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L. Wang
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L. Wang
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S. Wang
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X. Wang
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Y. Zhang
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Z. Zhang
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G. Chen
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L. Chen
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Z. Cheng
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Y. Deng
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Z. Huang
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D. Ng
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J. Ni
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Q. Ren
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X. Tang
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B. L. Wang
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H. Wang
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N. Wang
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C. Wei
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Q. Wu
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J. Xia
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Y. Xiao
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H. Xu
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X. Xu
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C. Xue
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Z. Yang
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Z. Yang
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2026-03-19T13:03:32.464Z
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Zonglin Yang
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F. Ye
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H. Ye
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J. Yu
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C. Zhang
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W. Zhang
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H. Zhao
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P. Zhu
MiroThinker-1.7 & H1: Towards Heavy-Duty Research Agents via Verification
We present MiroThinker-1.7, a new research agent designed for complex long-horizon reasoning tasks. Building on this foundation, we further introduce MiroThinker-H1, which extends the agent with heavy-duty reasoning capabilities for more reliable multi-step problem solving. In particular, MiroThinker-1.7 improves the reliability of each interaction step through an agentic mid-training stage that emphasizes structured planning, contextual reasoning, and tool interaction. This enables more effective multi-step interaction and sustained reasoning across complex tasks. MiroThinker-H1 further incorporates verification directly into the reasoning process at both local and global levels. Intermediate reasoning decisions can be evaluated and refined during inference, while the overall reasoning trajectory is audited to ensure that final answers are supported by coherent chains of evidence. Across benchmarks covering open-web research, scientific reasoning, and financial analysis, MiroThinker-H1 achieves state-of-the-art performance on deep research tasks while maintaining strong results on specialized domains. We also release MiroThinker-1.7 and MiroThinker-1.7-mini as open-source models, providing competitive research-agent capabilities with significantly improved efficiency.
MiroThinker-1.7 and MiroThinker-H1 are research agents that enhance complex reasoning through structured planning, contextual reasoning, and tool interaction, with MiroThinker-H1 incorporating verification at local and global levels for more reliable multi-step problem solving.
research agent long-horizon reasoning tasks agentic mid-training stage structured planning contextual reasoning tool interaction multi-step interaction sustained reasoning verification reasoning process intermediate reasoning decisions reasoning trajectory coherent chains of evidence