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Phi 4 Mini vs QwQ-32B
Comprehensive side-by-side LLM comparison
QwQ-32B leads with 40.0% higher average benchmark score. Overall, QwQ-32B is the stronger choice for coding tasks.
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Microsoft
Phi-4 Mini was created as an even more compact variant of Phi-4, designed to bring fourth-generation capabilities to the smallest possible footprint. Built for extreme efficiency scenarios, it enables AI capabilities on devices and applications where resources are severely constrained.
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Alibaba Cloud / Qwen Team
QwQ 32B was developed as a reasoning-focused model, designed to emphasize analytical thinking and problem-solving capabilities. Built with 32 billion parameters optimized for step-by-step reasoning, it demonstrates Qwen's exploration into models that prioritize deliberate analytical processing.
1 month newer
Phi 4 Mini
Microsoft
2025-02-01
QwQ-32B
Alibaba Cloud / Qwen Team
2025-03-05
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Average performance across 1 common benchmarks
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Phi 4 Mini
Average Score:25.2%
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QwQ-32B
Average Score:65.2%(+40.0%)
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Knowledge Cutoff
Training data recency comparison
Phi 4 Mini
2024-06-01
QwQ-32B
2024-11-28
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
0 providers
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QwQ-32B
0 providers
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Phi 4 Mini
Avg Score:25.2%
Providers:0
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QwQ-32B
Avg Score:65.2%(+40.0%)
Providers:0