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Phi-3.5-mini-instruct vs Qwen3 32B
Comprehensive side-by-side LLM comparison
Qwen3 32B leads with 56.8% higher average benchmark score. Both models have similar pricing. Qwen3 32B is available on 3 providers. Overall, Qwen3 32B 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
Qwen3 32B was developed as a dense 32-billion-parameter model in the Qwen3 family, designed to provide strong language understanding without mixture-of-experts complexity. Built for applications requiring straightforward deployment and reliable performance, it serves as a capable mid-to-large-scale foundation model.
8 months newer
Phi-3.5-mini-instruct
Microsoft
2024-08-23
Qwen3 32B
Alibaba Cloud / Qwen Team
2025-04-29
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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($0.20 cheaper)
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Qwen3 32B
Input:$0.10
Output:$0.30
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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Phi-3.5-mini-instruct
Average Score:37.0%
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Qwen3 32B
Average Score:93.8%(+56.8%)
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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Qwen3 32B
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Phi-3.5-mini-instruct
Avg Score:37.0%
Providers:1
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Qwen3 32B
Avg Score:93.8%(+56.8%)
Providers:3