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Phi-3.5-mini-instruct vs Qwen2.5 14B Instruct
Comprehensive side-by-side LLM comparison
Qwen2.5 14B Instruct leads with 10.3% higher average benchmark score. Overall, Qwen2.5 14B Instruct is the stronger choice for coding tasks.
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Microsoft
Phi-3.5 Mini was developed by Microsoft as a small language model designed to deliver impressive performance despite its compact size. Built with efficiency in mind, it demonstrates that capable language understanding and generation can be achieved with fewer parameters, making AI more accessible for edge and resource-constrained deployments.
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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.
27 days newer
Phi-3.5-mini-instruct
Microsoft
2024-08-23
Qwen2.5 14B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
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Performance Metrics
Context window and performance specifications
Average performance across 9 common benchmarks
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Phi-3.5-mini-instruct
Average Score:62.5%
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Qwen2.5 14B Instruct
Average Score:72.8%(+10.3%)
Provider Availability & Performance
Available providers and their performance metrics
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Phi-3.5-mini-instruct
1 providers
Azure
Throughput: 23 tok/s
Latency: 0.52ms
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Qwen2.5 14B Instruct
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Phi-3.5-mini-instruct
Avg Score:62.5%
Providers:1
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Qwen2.5 14B Instruct
Avg Score:72.8%(+10.3%)
Providers:0