+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
DeepSeek-V3.2 Thinking vs Qwen2.5 7B Instruct
Comprehensive side-by-side LLM comparison
. Both models have their strengths depending on your specific coding needs.
+
+
+
+
DeepSeek
DeepSeek-V3.2-Exp (DeepSeek-V3.2 Thinking), released by DeepSeek in September 2025, is the experimental preview release of the DeepSeek-V3.2 model featuring 685 billion total parameters and integrated thinking capabilities. It introduced the architecture and training approaches that became the foundation of the final V3.2 release, including thinking in tool-use and hybrid reasoning modes.
+
+
+
+
Alibaba / Qwen
Qwen2.5-7B-Instruct is a 7-billion-parameter open-weight language model from Alibaba's Qwen team, released in September 2024 as part of the Qwen2.5 series trained on 18 trillion tokens with improved code, math, and multilingual coverage. The model delivers significantly stronger instruction-following, structured output generation, and long-context handling compared to its predecessor, supporting 128K context windows in a compact form factor. It became widely adopted as a foundation for fine-tuning, RAG pipelines, and on-device deployment due to its balance of capability and efficiency.
1 year newer
Qwen2.5 7B Instruct
Alibaba / Qwen
2024-09-19
DeepSeek-V3.2 Thinking
DeepSeek
2025-09-29
Performance Metrics
Context window and performance specifications
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
DeepSeek-V3.2 Thinking
1 providers
DeepSeek
+
+
+
+
Qwen2.5 7B Instruct
0 providers
+
+
+
+
DeepSeek-V3.2 Thinking
Avg Score:0.0%
Providers:1
+
+
+
+
Qwen2.5 7B Instruct
Avg Score:0.0%
Providers:0