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
Qwen2-72B-Instruct is a 72-billion-parameter language model released by Alibaba's Qwen team in June 2024, serving as the flagship of the Qwen2 generation and representing a major step in open-weight multilingual modeling. Trained on data spanning 30+ languages with strong coverage of code and structured reasoning, the model was among the first openly released 70B-class models to demonstrate competitive performance across diverse benchmarks. It established the foundation architecture and training methodology that the Qwen2.5 series would later extend.
1 year newer
Qwen2 72B Instruct
Alibaba / Qwen
2024-06-07

DeepSeek-V3.2
DeepSeek
2025-12-01
Context window and performance specifications
Available providers and their performance metrics
DeepSeek-V3.2
DeepSeek
Qwen2 72B Instruct
DeepSeek-V3.2
Qwen2 72B Instruct
DeepSeek-V3.2
Qwen2 72B Instruct