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DeepSeek-V3.2-Speciale vs Qwen2.5-VL 32B Instruct
Comprehensive side-by-side LLM comparison
Qwen2.5-VL 32B Instruct supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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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.
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Alibaba / Qwen
Qwen2.5-VL-32B-Instruct is a 32-billion-parameter vision-language model from Alibaba, extending the Qwen2.5 architecture with multimodal capabilities for understanding images, documents, charts, and video frames alongside text. The model was designed for tasks requiring deep visual reasoning — such as document parsing, table extraction, and spatial understanding — with performance that made it a practical choice for document intelligence and visual data analysis workflows. As an open-weight model, it became a widely adopted foundation for fine-tuning domain-specific multimodal applications.
9 months newer
Qwen2.5-VL 32B Instruct
Alibaba / Qwen
2025-03-01
DeepSeek-V3.2-Speciale
DeepSeek
2025-12
Performance Metrics
Context window and performance specifications
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek-V3.2-Speciale
1 providers
DeepSeek
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Qwen2.5-VL 32B Instruct
0 providers
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DeepSeek-V3.2-Speciale
Avg Score:0.0%
Providers:1
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Qwen2.5-VL 32B Instruct
Avg Score:0.0%
Providers:0