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Phi-3.5-mini-instruct vs Qwen2 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
Qwen2 7B was created as an efficient variant in the Qwen2 family, designed to provide capable instruction-following with 7 billion parameters. Built to serve as a practical foundation for applications requiring reliable language understanding, it balances performance with deployment efficiency.
1 month newer
Qwen2 7B Instruct
Alibaba Cloud / Qwen Team
2024-07-23
Phi-3.5-mini-instruct
Microsoft
2024-08-23
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Performance Metrics
Context window and performance specifications
Average performance across 7 common benchmarks
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Phi-3.5-mini-instruct
Average Score:59.1%
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Qwen2 7B Instruct
Average Score:59.8%(+0.7%)
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 7B Instruct
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Phi-3.5-mini-instruct
Avg Score:59.1%
Providers:1
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Qwen2 7B Instruct
Avg Score:59.8%(+0.7%)
Providers:0