🚀 Introducing InCoder-32B-Thinking: The First Industrial Code Thinking Model

We are excited to release InCoder-32B-Thinking, a 32B-parameter thinking-augmented code model that bridges general programming intelligence with the rigorous demands of real-world industrial software development — spanning chip design, GPU kernel optimization, embedded systems, and 3D modeling.

🔑 Key Highlights

• 81.3% on LiveCodeBench V5 — the highest among all open-weight models, outperforming models with 10× more parameters.
• 84.0% compile pass rate on CAD-Coder and 38.0% on KernelBench L2, establishing the strongest open-source results across all evaluated industrial domains.
• 70.4% on SWE-bench Verified, demonstrating competitive agentic coding capability.
• Top-tier performance across 14 general and 9 industrial code benchmarks.

💡 What Makes InCoder-32B-Thinking Different?

Unlike conventional code models, InCoder-32B-Thinking is trained through two synergistic innovations:

1. Error-driven Chain-of-Thought (ECoT) Synthesis — Generates reasoning traces by explicitly modeling iterative error-correction processes, mimicking how real engineers diagnose and fix hardware-level bugs through multi-turn interaction with execution environments.

2. Industrial Code World Model (ICWM) — The first world model for industrial code environments, trained on domain-specific execution traces (Verilog simulation logs, GPU profiling data, compiler diagnostics, embedded system outputs). ICWM learns causal dynamics between code and hardware behavior, achieving 96.7% outcome prediction accuracy across five industrial domains — enabling large-scale data synthesis without expensive real toolchain execution.

📊 Benchmark Results at a Glance

🔗 Resources

• 🤗 HuggingFace: https://huggingface.co/Multilingual-Multimodal-NLP/IndustrialCoder
• 🐙 GitHub: https://github.com/CSJianYang/Industrial-Coder