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o3-mini vs Phi 4 Mini Reasoning
Comprehensive side-by-side LLM comparison
o3-mini leads with 25.2% higher average benchmark score. o3-mini is available on 2 providers. Overall, o3-mini is the stronger choice for coding tasks.
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OpenAI
o3-mini was created as an efficient variant of the o3 reasoning model, designed to provide advanced thinking capabilities with reduced computational requirements. Built to make next-generation reasoning accessible to a broader range of applications, it balances analytical depth with practical speed and cost considerations.
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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.
3 months newer
o3-mini
OpenAI
2025-01-30
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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o3-mini
Average Score:77.2%(+25.2%)
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Phi 4 Mini Reasoning
Average Score:52.0%
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Knowledge Cutoff
Training data recency comparison
o3-mini
2023-09-30
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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o3-mini
2 providers
Azure
Throughput: 115 tok/s
Latency: 5.2ms
OpenAI
Throughput: 115 tok/s
Latency: 5.2ms
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o3-mini
Avg Score:77.2%(+25.2%)
Providers:2
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Phi 4 Mini Reasoning
Avg Score:52.0%
Providers:0