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Phi 4 Mini Reasoning vs Qwen3 30B A3B
Comprehensive side-by-side LLM comparison
Qwen3 30B A3B leads with 13.8% higher average benchmark score. 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-4 Mini Reasoning was developed to incorporate extended thinking capabilities into the ultra-compact Phi-4 Mini architecture. Built to demonstrate that reasoning enhancements can be applied even to very small models, it brings analytical depth to resource-constrained environments.
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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.
1 days newer
Qwen3 30B A3B
Alibaba Cloud / Qwen Team
2025-04-29
Phi 4 Mini Reasoning
Microsoft
2025-04-30
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Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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Phi 4 Mini Reasoning
Average Score:52.0%
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Qwen3 30B A3B
Average Score:65.8%(+13.8%)
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Knowledge Cutoff
Training data recency comparison
Phi 4 Mini Reasoning
2025-02-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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Phi 4 Mini Reasoning
0 providers
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Qwen3 30B A3B
3 providers
DeepInfra
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Phi 4 Mini Reasoning
Avg Score:52.0%
Providers:0
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Qwen3 30B A3B
Avg Score:65.8%(+13.8%)
Providers:3