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.
Microsoft
Phi-3.5-MoE-instruct is a sparse mixture-of-experts model from Microsoft's Phi research team, released in August 2024 with 42 billion total parameters across 16 experts and approximately 6.6 billion active parameters per forward pass. The model applies Microsoft's small-data, high-quality training philosophy — developed across earlier Phi generations — to a MoE architecture, targeting reasoning quality comparable to much larger dense models at a fraction of the inference compute. Released under the MIT license, it was notable in the research community for demonstrating that MoE efficiency gains could be realized at smaller total parameter counts than typical large-scale MoE deployments.
1 year newer

Phi-3.5-MoE Instruct
Microsoft
2024-08-22

DeepSeek-V3.2 Thinking
DeepSeek
2025-09-29
Context window and performance specifications
Available providers and their performance metrics
DeepSeek-V3.2 Thinking
DeepSeek
Phi-3.5-MoE Instruct
DeepSeek-V3.2 Thinking
Phi-3.5-MoE Instruct
DeepSeek-V3.2 Thinking
Phi-3.5-MoE Instruct