 | MiroThinker family represents a significant leap in building reliable agents for long-chain tasks. Engineered with enhanced post-training pipeline, our MiroThinker-1.7 family achieve SOTA performance in deep research tasks among open-source models. Key Features MiroThinker-1.7 supports a 256K context window, long-horizon reasoning, and deep multi-step analysis. Handles up to 300 tool calls per task, now with more accurate stepwise reasoning and decision-making. Released in 30B and 235B parameter scales, accompanied by a comprehensive suite of tools and workflows to flexibly support diverse research settings and compute budgets. Our proprietary agent, MiroThinker-H1 provides promising evidence for long-chain verifiable reasoning — reasoning processes that are step-verifiable and globally verifiable, improving the performance of complex agentic workflows. https://huggingface.co/collections/miromind-ai/mirothinker-17 [link] [comments] |
MiroThinker-1.7 and MiroThinker-1.7-mini (Best search agent model?)
Reddit r/LocalLLaMA / 3/11/2026
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Key Points
- The MiroThinker-1.7 family introduces significant advancements in building reliable AI agents for complex, long-chain research tasks.
- It supports an exceptionally large 256K context window, enabling long-horizon reasoning and deep multi-step analysis.
- The models can handle up to 300 tool calls per task, with improved stepwise and global verifiable reasoning ensuring higher accuracy in decision-making.
- Available in 30B and 235B parameter models, the suite includes supporting tools and workflows adaptable to various research needs and computational budgets.
- The proprietary MiroThinker-H1 agent demonstrates promising capabilities for verifiable reasoning processes, improving performance in complex agentic workflows.
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