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o3-mini vs Phi 4 Mini Reasoning
Comprehensive side-by-side LLM comparison
o3-mini leads with 45.6% 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 is a language model developed by OpenAI. The model shows competitive results across 26 benchmarks. It excels particularly in COLLIE (98.7%), MATH (97.9%), IFEval (93.9%). It supports a 300K token context window for handling large documents. The model is available through 2 API providers. Released in 2025, it represents OpenAI's latest advancement in AI technology.
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Microsoft
Phi 4 Mini Reasoning is a language model developed by Microsoft. It achieves strong performance with an average score of 68.0% across 3 benchmarks. It excels particularly in MATH-500 (94.6%), AIME (57.5%), GPQA (52.0%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Microsoft's latest advancement in AI technology.
3 months newer
o3-mini
OpenAI
2025-01-30
Phi 4 Mini Reasoning
Microsoft
2025-04-30
Performance Metrics
Context window and performance specifications
Average performance across 28 common benchmarks
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o3-mini
Average Score:52.9%(+45.6%)
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Phi 4 Mini Reasoning
Average Score:7.3%
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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:52.9%(+45.6%)
Providers:2
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Phi 4 Mini Reasoning
Avg Score:7.3%
Providers:0