+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
DeepSeek-V3.2 vs Qwen2.5-Coder 32B Instruct
Comprehensive side-by-side LLM comparison
. Both models have their strengths depending on your specific coding needs.
+
+
+
+
DeepSeek
DeepSeek-V3.2, released by DeepSeek on December 1, 2025, is a large language model with 685 billion total parameters featuring integrated thinking in tool-use and support for both reasoning and direct generation modes. It features a 128K token context window and introduced large-scale agent training across 1,800+ environments. DeepSeek-V3.2 targets agentic workflows, complex instruction following, and coding tasks under an open MIT license.
+
+
+
+
Alibaba / Qwen
Qwen2.5-Coder-32B-Instruct is a 32-billion-parameter code-specialized model from Alibaba, released in November 2024 and trained on a large corpus spanning 92 programming languages including C, Python, Java, Rust, and domain-specific languages. The model was designed to provide competitive code generation, repair, and reasoning capabilities as an open-weight alternative for developers building code assistant tools and automated review pipelines. Its 128K context window enables whole-file and multi-file code comprehension, making it particularly suited for complex repository-level tasks.
1 year newer
Qwen2.5-Coder 32B Instruct
Alibaba / Qwen
2024-11-12
DeepSeek-V3.2
DeepSeek
2025-12-01
Performance Metrics
Context window and performance specifications
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
DeepSeek-V3.2
1 providers
DeepSeek
+
+
+
+
Qwen2.5-Coder 32B Instruct
0 providers
+
+
+
+
DeepSeek-V3.2
Avg Score:0.0%
Providers:1
+
+
+
+
Qwen2.5-Coder 32B Instruct
Avg Score:0.0%
Providers:0