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Qwen 2.5 Coder 32B Tops SWE-Bench: Open Source Outperforms Closed Commercial IDEs

DevPluse Code Radar•Verified Editorial Analysis
Alibaba's open-weights Qwen 2.5 Coder 32B model has achieved a 92.7% HumanEval score, surpassing proprietary coding models and setting new records for local pair programming.
The dominance of proprietary coding assistants faced a historic test with the release of **Qwen 2.5 Coder 32B**. Trained on over 5.5 trillion tokens of code, mathematical proofs, and synthetic programming challenges, the model sets a new standard for open-source software engineering. ### HumanEval and Multi-File Refactoring Benchmarking across 92 programming languages shows Qwen 2.5 Coder achieving 92.7% on HumanEval, outperforming Claude 3.5 Sonnet on specific algorithmic tasks. Crucially, its 128k context window allows it to digest full repository maps and multi-file diffs without context truncation. ### Local IDE Integration Using tools like Continue.dev, Aider, and Ollama, developers can now run an uncensored, zero-telemetry coding copilot on a single 24GB GPU (RTX 3090/4090) with sub-100ms first-token latency.
Primary Source & Fair Use Attribution

This dispatch is an independent technical synthesis. All credit for original benchmarks and research belongs to the upstream creators.

Source: QwenLM Research Team

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