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Phi 4 vs Qwen2.5 14B Instruct
Comprehensive side-by-side LLM comparison
Phi 4 leads with 8.9% higher average benchmark score. Overall, Phi 4 is the stronger choice for coding tasks.
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Microsoft
Phi-4 was introduced as the fourth generation of Microsoft's small language model series, designed to push the boundaries of what compact models can achieve. Built with advanced training techniques and architectural improvements, it demonstrates continued progress in efficient, high-quality language models.
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Alibaba Cloud / Qwen Team
Qwen 2.5 14B was developed as a mid-sized instruction-tuned model, designed to balance capability and efficiency for diverse language tasks. Built with 14 billion parameters, it provides strong performance for applications requiring reliable instruction-following without the resource demands of larger models.
2 months newer
Qwen2.5 14B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
Phi 4
Microsoft
2024-12-12
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Performance Metrics
Context window and performance specifications
Average performance across 6 common benchmarks
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Phi 4
Average Score:76.2%(+8.9%)
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Qwen2.5 14B Instruct
Average Score:67.3%
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Knowledge Cutoff
Training data recency comparison
Phi 4
2024-06-01
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
1 providers
DeepInfra
Throughput: 33 tok/s
Latency: 0.2ms
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Qwen2.5 14B Instruct
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Phi 4
Avg Score:76.2%(+8.9%)
Providers:1
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Qwen2.5 14B Instruct
Avg Score:67.3%
Providers:0