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  ## DeepSWE Overview
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  DeepSWE-Preview is a fully open-sourced, state-of-the-art coding agent trained with only reinforcement learning (RL) to excel at software engineering (SWE) tasks. DeepSWE-Preview demonstrates strong reasoning capabilities in navigating complex codebases and viewing/editing multiple files, and it serves as a foundational model for future coding agents. The model achieves an impressive **59.0%** on SWE-Bench-Verified, which is currently #1 in the open-weights category.
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- DeepSWE-Preview is trained on top of Qwen3-32B with thinking mode enabled. With just 200 steps of RL training, SWE-Bench-Verified score increases from 23→42% (+20%).
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  Discover more about DeepSWE-Preview's development and capabilities in our [technical blog post](www.google.com).
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  ## DeepSWE Overview
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  DeepSWE-Preview is a fully open-sourced, state-of-the-art coding agent trained with only reinforcement learning (RL) to excel at software engineering (SWE) tasks. DeepSWE-Preview demonstrates strong reasoning capabilities in navigating complex codebases and viewing/editing multiple files, and it serves as a foundational model for future coding agents. The model achieves an impressive **59.0%** on SWE-Bench-Verified, which is currently #1 in the open-weights category.
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+ DeepSWE-Preview is trained on top of Qwen3-32B with thinking mode enabled. With just 200 steps of RL training, SWE-Bench-Verified score increases by ~20%.
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  Discover more about DeepSWE-Preview's development and capabilities in our [technical blog post](www.google.com).
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