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Phi 4 Mini Reasoning vs Qwen2.5 32B Instruct
Comprehensive side-by-side LLM comparison
Phi 4 Mini Reasoning leads with 2.5% higher average benchmark score. Both models have their strengths depending on your specific coding needs.
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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
Qwen 2.5 32B was created as a larger variant in the Qwen 2.5 family, designed to deliver enhanced capabilities with 32 billion parameters. Built to serve applications requiring stronger reasoning and generation quality, it represents a powerful option for demanding language understanding tasks.
7 months newer
Qwen2.5 32B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
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%(+2.5%)
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Qwen2.5 32B Instruct
Average Score:49.5%
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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 32B Instruct
0 providers
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Phi 4 Mini Reasoning
Avg Score:52.0%(+2.5%)
Providers:0
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Qwen2.5 32B Instruct
Avg Score:49.5%
Providers:0