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GPT-5.2 vs Qwen2.5-VL 32B Instruct
Comprehensive side-by-side LLM comparison
GPT-5.2 leads with 34.3% higher average benchmark score. Overall, GPT-5.2 is the stronger choice for coding tasks.
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OpenAI
GPT-5.2, released by OpenAI on December 11, 2025, is a large language model from the GPT-5 family that improves on GPT-5 in general intelligence, long-context understanding, agentic tool-calling, and vision. It features a 400K token context window, 128K maximum output tokens, and a knowledge cutoff of August 2025. GPT-5.2 targets long-context coding tasks, extended document analysis, and complex agentic workflows requiring reliable instruction following.
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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
GPT-5.2
OpenAI
2025-12-11
Average performance across 1 common benchmarks
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GPT-5.2
Average Score:38.2%(+34.3%)
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Qwen2.5-VL 32B Instruct
Average Score:3.9%
Performance comparison across key benchmark categories
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GPT-5.2
Agents38.2%(+34.3%)
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Qwen2.5-VL 32B Instruct
Agents3.9%
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Knowledge Cutoff
Training data recency comparison
GPT-5.2
2025-08
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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GPT-5.2
0 providers
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Qwen2.5-VL 32B Instruct
0 providers
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GPT-5.2
Avg Score:38.2%(+34.3%)
Providers:0
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Qwen2.5-VL 32B Instruct
Avg Score:3.9%
Providers:0