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Phi-3.5-mini-instruct vs Qwen3 30B A3B
Comprehensive side-by-side LLM comparison
Qwen3 30B A3B leads with 44.7% higher average benchmark score. Both models have similar pricing. Qwen3 30B A3B is available on 3 providers. Overall, Qwen3 30B A3B 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 30B was created with a mixture-of-experts architecture featuring 30 billion total parameters and 3 billion active parameters. Built to provide strong capabilities with efficient inference through sparse activation, it balances performance with practical computational requirements.
8 months newer
Phi-3.5-mini-instruct
Microsoft
2024-08-23
Qwen3 30B A3B
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 30B A3B
Input:$0.10
Output:$0.30
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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Phi-3.5-mini-instruct
Average Score:33.7%
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Qwen3 30B A3B
Average Score:78.4%(+44.7%)
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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Qwen3 30B A3B
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Phi-3.5-mini-instruct
Avg Score:33.7%
Providers:1
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Qwen3 30B A3B
Avg Score:78.4%(+44.7%)
Providers:3