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Phi 4 Mini Reasoning vs Qwen2.5 72B Instruct
Comprehensive side-by-side LLM comparison
Phi 4 Mini Reasoning leads with 3.0% higher average benchmark score. Qwen2.5 72B Instruct is available on 4 providers. 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 72B was developed as the flagship text model in the Qwen 2.5 series, designed to provide advanced language capabilities with 72 billion parameters. Built to compete with frontier models in reasoning, coding, and general language tasks, it represents Qwen's most capable instruction-following model in this generation.
7 months newer
Qwen2.5 72B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
Phi 4 Mini Reasoning
Microsoft
2025-04-30
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Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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Phi 4 Mini Reasoning
Average Score:52.0%(+3.0%)
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Qwen2.5 72B Instruct
Average Score:49.0%
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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 72B Instruct
4 providers
DeepInfra
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Phi 4 Mini Reasoning
Avg Score:52.0%(+3.0%)
Providers:0
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Qwen2.5 72B Instruct
Avg Score:49.0%
Providers:4