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Phi-3.5-mini-instruct vs Qwen2.5-Coder 7B Instruct
Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. Both models have their strengths depending on your specific coding needs.
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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 Coder 7B was created as an efficient coding-specialized model, designed to bring strong programming capabilities to resource-conscious deployments. Built with 7 billion parameters optimized for code understanding and generation, it provides developers with a lightweight option for code-related tasks.
27 days newer
Phi-3.5-mini-instruct
Microsoft
2024-08-23
Qwen2.5-Coder 7B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
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Performance Metrics
Context window and performance specifications
Average performance across 10 common benchmarks
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Phi-3.5-mini-instruct
Average Score:67.0%
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Qwen2.5-Coder 7B Instruct
Average Score:67.1%(+0.1%)
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-Coder 7B Instruct
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Phi-3.5-mini-instruct
Avg Score:67.0%
Providers:1
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Qwen2.5-Coder 7B Instruct
Avg Score:67.1%(+0.1%)
Providers:0