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Phi 4 Mini Reasoning vs Qwen2.5 7B Instruct
Comprehensive side-by-side LLM comparison
Qwen2.5 7B Instruct leads with 44.6% higher average benchmark score. Overall, Qwen2.5 7B Instruct is the stronger choice for coding tasks.
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Microsoft
Phi 4 Mini Reasoning is a language model developed by Microsoft. It achieves strong performance with an average score of 68.0% across 3 benchmarks. It excels particularly in MATH-500 (94.6%), AIME (57.5%), GPQA (52.0%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Microsoft's latest advancement in AI technology.
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Alibaba Cloud / Qwen Team
Qwen2.5 7B Instruct is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 65.6% across 14 benchmarks. It excels particularly in GSM8k (91.6%), MT-Bench (87.5%), HumanEval (84.8%). It supports a 139K token context window for handling large documents. 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 Alibaba Cloud / Qwen Team's latest advancement in AI technology.
7 months newer
Qwen2.5 7B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
Phi 4 Mini Reasoning
Microsoft
2025-04-30
Performance Metrics
Context window and performance specifications
Average performance across 16 common benchmarks
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Phi 4 Mini Reasoning
Average Score:12.8%
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Qwen2.5 7B Instruct
Average Score:57.4%(+44.6%)
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Knowledge Cutoff
Training data recency comparison
Phi 4 Mini Reasoning
2025-02-01
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 Mini Reasoning
0 providers
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Qwen2.5 7B Instruct
1 providers
Together
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Phi 4 Mini Reasoning
Avg Score:12.8%
Providers:0
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Qwen2.5 7B Instruct
Avg Score:57.4%(+44.6%)
Providers:1