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Qwen2.5 14B Instruct vs Qwen2.5 VL 32B Instruct
Comprehensive side-by-side LLM comparison
Qwen2.5 VL 32B Instruct leads with 2.8% higher average benchmark score. Qwen2.5 VL 32B Instruct supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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Alibaba Cloud / Qwen Team
Qwen 2.5 14B was developed as a mid-sized instruction-tuned model, designed to balance capability and efficiency for diverse language tasks. Built with 14 billion parameters, it provides strong performance for applications requiring reliable instruction-following without the resource demands of larger models.
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Alibaba Cloud / Qwen Team
Qwen2.5-VL 32B was developed as a mid-sized vision-language model, designed to balance multimodal capability with practical deployment considerations. Built with 32 billion parameters for vision and language integration, it serves applications requiring strong visual understanding without flagship-scale resources.
5 months newer
Qwen2.5 14B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
Qwen2.5 VL 32B Instruct
Alibaba Cloud / Qwen Team
2025-02-28
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Average performance across 6 common benchmarks
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Qwen2.5 14B Instruct
Average Score:72.4%
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Qwen2.5 VL 32B Instruct
Average Score:75.1%(+2.8%)
Provider Availability & Performance
Available providers and their performance metrics
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Qwen2.5 14B Instruct
0 providers
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Qwen2.5 VL 32B Instruct
0 providers
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Qwen2.5 14B Instruct
Avg Score:72.4%
Providers:0
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Qwen2.5 VL 32B Instruct
Avg Score:75.1%(+2.8%)
Providers:0