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Phi 4 vs Qwen2.5 72B Instruct
Comprehensive side-by-side LLM comparison
Qwen2.5 72B Instruct leads with 4.6% higher average benchmark score. Qwen2.5 72B Instruct offers 107.3K more tokens in context window than Phi 4. Phi 4 is $0.54 cheaper per million tokens. 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 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 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.
2 months newer
Qwen2.5 72B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
Phi 4
Microsoft
2024-12-12
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Pricing Comparison
Cost per million tokens (USD)
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Phi 4
Input:$0.07
Output:$0.14($0.54 cheaper)
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Qwen2.5 72B Instruct
Input:$0.35
Output:$0.40
Performance Metrics
Context window and performance specifications
Average performance across 7 common benchmarks
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Phi 4
Average Score:67.9%
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Qwen2.5 72B Instruct
Average Score:72.5%(+4.6%)
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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 72B Instruct
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Phi 4
Avg Score:67.9%
Providers:1
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Qwen2.5 72B Instruct
Avg Score:72.5%(+4.6%)
Providers:4