MiroThinker-1.7 & H1: Towards Heavy-Duty Research Agents via Verification
About
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.
Related benchmarks
| Task | Dataset | Result | Rank | |
|---|---|---|---|---|
| Deep search | Browse Comp ZH | Score72.3 | 50 | |
| Deep search | Browse Comp | Score67.9 | 38 | |
| General AI Assistant | GAIA Text-Only | Score80.3 | 19 | |
| Web Navigation Agentic Reasoning | BrowseComp complete (test) | Avg Success Rate@388.2 | 16 | |
| Expert-Level Reasoning | Humanity's Last Exam 2,158 text-only | Avg@3 Score47.7 | 15 | |
| Long-form research report generation | DeepResearchEval (50 queries) | Report Quality76.8 | 13 | |
| Deep search | xBench-DeepSearch DS-2510 | Score57.2 | 12 | |
| Chinese Web Navigation Agentic Reasoning | BrowseComp-ZH | Avg@384.4 | 11 | |
| Agent Capability Evaluation | SEAL 0 | Average Score (@8)61.3 | 10 | |
| Information retrieval and Question Answering | DeepSearch-QA | Avg@3 Score80.6 | 10 |