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Phi 4 Reasoning vs Qwen2.5 VL 32B Instruct
Comprehensive side-by-side LLM comparison
Phi 4 Reasoning leads with 12.6% higher average benchmark score. Qwen2.5 VL 32B Instruct supports multimodal inputs. Overall, Phi 4 Reasoning is the stronger choice for coding tasks.
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Microsoft
Phi-4 Reasoning was developed to incorporate extended analytical thinking into the Phi-4 architecture, designed to spend more time on complex problem-solving. Built to combine compact model efficiency with reasoning depth, it represents Microsoft's exploration of thoughtful small 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.
2 months newer
Qwen2.5 VL 32B Instruct
Alibaba Cloud / Qwen Team
2025-02-28
Phi 4 Reasoning
Microsoft
2025-04-30
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Average performance across 2 common benchmarks
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Phi 4 Reasoning
Average Score:70.0%(+12.6%)
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Qwen2.5 VL 32B Instruct
Average Score:57.4%
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Knowledge Cutoff
Training data recency comparison
Phi 4 Reasoning
2025-03-01
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 Reasoning
0 providers
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Qwen2.5 VL 32B Instruct
0 providers
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Phi 4 Reasoning
Avg Score:70.0%(+12.6%)
Providers:0
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Qwen2.5 VL 32B Instruct
Avg Score:57.4%
Providers:0