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Phi 4 vs Qwen2.5-Coder 32B Instruct
Comprehensive side-by-side LLM comparison
Phi 4 leads with 10.7% higher average benchmark score. Qwen2.5-Coder 32B Instruct offers 224.0K more tokens in context window than Phi 4. Both models have similar pricing. Qwen2.5-Coder 32B Instruct is available on 4 providers. 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 Coder 32B was developed as a specialized coding model, designed to excel at programming tasks with 32 billion parameters specifically optimized for code. Built to understand and generate code across multiple programming languages, it serves developers requiring advanced code completion, debugging, and explanation capabilities.
2 months newer
Qwen2.5-Coder 32B 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
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Qwen2.5-Coder 32B Instruct
Input:$0.09
Output:$0.09($0.03 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 4 common benchmarks
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Phi 4
Average Score:79.5%(+10.7%)
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Qwen2.5-Coder 32B Instruct
Average Score:68.8%
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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-Coder 32B Instruct
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Phi 4
Avg Score:79.5%(+10.7%)
Providers:1
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Qwen2.5-Coder 32B Instruct
Avg Score:68.8%
Providers:4