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Phi 4 Mini Reasoning vs Qwen2.5 VL 32B Instruct
Comprehensive side-by-side LLM comparison
Phi 4 Mini Reasoning leads with 6.0% higher average benchmark score. Qwen2.5 VL 32B Instruct supports multimodal inputs. Overall, Phi 4 Mini Reasoning is the stronger choice for coding tasks.
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Microsoft
Phi-4 Mini Reasoning was developed to incorporate extended thinking capabilities into the ultra-compact Phi-4 Mini architecture. Built to demonstrate that reasoning enhancements can be applied even to very small models, it brings analytical depth to resource-constrained environments.
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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.
2 months newer
Qwen2.5 VL 32B Instruct
Alibaba Cloud / Qwen Team
2025-02-28
Phi 4 Mini Reasoning
Microsoft
2025-04-30
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Average performance across 1 common benchmarks
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Phi 4 Mini Reasoning
Average Score:52.0%(+6.0%)
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Qwen2.5 VL 32B Instruct
Average Score:46.0%
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Knowledge Cutoff
Training data recency comparison
Phi 4 Mini Reasoning
2025-02-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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Phi 4 Mini Reasoning
0 providers
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Qwen2.5 VL 32B Instruct
0 providers
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Phi 4 Mini Reasoning
Avg Score:52.0%(+6.0%)
Providers:0
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Qwen2.5 VL 32B Instruct
Avg Score:46.0%
Providers:0