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o3-mini vs Phi-3.5-MoE-instruct
Comprehensive side-by-side LLM comparison
Phi-3.5-MoE-instruct leads with 10.4% higher average benchmark score. o3-mini is available on 2 providers. Overall, Phi-3.5-MoE-instruct 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-3.5-MoE-instruct is a language model developed by Microsoft. It achieves strong performance with an average score of 65.6% across 31 benchmarks. It excels particularly in ARC-C (91.0%), OpenBookQA (89.6%), GSM8k (88.7%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Microsoft's latest advancement in AI technology.
5 months newer
Phi-3.5-MoE-instruct
Microsoft
2024-08-23
o3-mini
OpenAI
2025-01-30
Performance Metrics
Context window and performance specifications
Average performance across 53 common benchmarks
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o3-mini
Average Score:27.9%
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Phi-3.5-MoE-instruct
Average Score:38.3%(+10.4%)
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Knowledge Cutoff
Training data recency comparison
o3-mini
2023-09-30
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:27.9%
Providers:2
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Phi-3.5-MoE-instruct
Avg Score:38.3%(+10.4%)
Providers:0