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Phi 4 vs Qwen2.5 32B Instruct
Comprehensive side-by-side LLM comparison
Qwen2.5 32B Instruct leads with 19.1% higher average benchmark score. Overall, Qwen2.5 32B Instruct is the stronger choice for coding tasks.
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Microsoft
Phi 4 is a language model developed by Microsoft. It achieves strong performance with an average score of 66.0% across 13 benchmarks. It excels particularly in MMLU (84.8%), HumanEval+ (82.8%), HumanEval (82.6%). The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Microsoft's latest advancement in AI technology.
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Alibaba Cloud / Qwen Team
Qwen2.5 32B Instruct is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 74.3% across 18 benchmarks. It excels particularly in GSM8k (95.9%), HumanEval (88.4%), HellaSwag (85.2%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
2 months newer
Qwen2.5 32B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
Phi 4
Microsoft
2024-12-12
Performance Metrics
Context window and performance specifications
Average performance across 25 common benchmarks
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Phi 4
Average Score:34.3%
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Qwen2.5 32B Instruct
Average Score:53.5%(+19.1%)
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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 32B Instruct
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Phi 4
Avg Score:34.3%
Providers:1
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Qwen2.5 32B Instruct
Avg Score:53.5%(+19.1%)
Providers:0