Comprehensive side-by-side LLM comparison
. Both models have their strengths depending on your specific coding needs.
DeepSeek
DeepSeek-V3.2-Speciale is a high-compute variant of DeepSeek-V3.2 with 685 billion total parameters, made available for a limited period in December 2025. It was released without tool-calling support but demonstrated exceptional reasoning performance, achieving gold-medal results in the 2025 IMO and IOI competitions. DeepSeek-V3.2-Speciale targets research and benchmarking use cases requiring maximum reasoning capability under an MIT license.
Alibaba / Qwen
Qwen2.5-14B-Instruct is a 14-billion-parameter language model from Alibaba released in September 2024 within the Qwen2.5 family, occupying the mid-tier of the series between efficiency-focused small models and the high-capability 72B flagship. Trained on 18 trillion tokens with emphasis on instruction alignment, code understanding, and multilingual reasoning, it offers a strong performance-to-compute ratio for developers who need more capability than 7B but cannot serve 32B or larger models. The model supports 128K context windows and structured output generation out of the box.
1 year newer
Qwen2.5 14B Instruct
Alibaba / Qwen
2024-09-19

DeepSeek-V3.2-Speciale
DeepSeek
2025-12
Context window and performance specifications
Available providers and their performance metrics
DeepSeek-V3.2-Speciale
DeepSeek
Qwen2.5 14B Instruct
DeepSeek-V3.2-Speciale
Qwen2.5 14B Instruct
DeepSeek-V3.2-Speciale
Qwen2.5 14B Instruct