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Phi-3.5-mini-instruct vs Qwen2.5-Coder 32B Instruct
Comprehensive side-by-side LLM comparison
Qwen2.5-Coder 32B Instruct leads with 7.5% higher average benchmark score. Both models have similar pricing. Qwen2.5-Coder 32B Instruct is available on 4 providers. Overall, Qwen2.5-Coder 32B 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 Coder 32B was developed as a specialized coding model, designed to excel at programming tasks with 32 billion parameters specifically optimized for code. Built to understand and generate code across multiple programming languages, it serves developers requiring advanced code completion, debugging, and explanation capabilities.
27 days newer
Phi-3.5-mini-instruct
Microsoft
2024-08-23
Qwen2.5-Coder 32B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
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Pricing Comparison
Cost per million tokens (USD)
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Phi-3.5-mini-instruct
Input:$0.10
Output:$0.10
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Qwen2.5-Coder 32B Instruct
Input:$0.09
Output:$0.09($0.02 cheaper)
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 32B Instruct
Average Score:74.5%(+7.5%)
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 32B Instruct
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Phi-3.5-mini-instruct
Avg Score:67.0%
Providers:1
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Qwen2.5-Coder 32B Instruct
Avg Score:74.5%(+7.5%)
Providers:4