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o3 vs Phi-3.5-MoE-instruct
Comprehensive side-by-side LLM comparison
o3 leads with 46.5% higher average benchmark score. o3 supports multimodal inputs. Overall, o3 is the stronger choice for coding tasks.
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OpenAI
o3 represents the next generation in OpenAI's reasoning model series, developed to advance the capabilities of deliberate, step-by-step problem solving. Built to handle increasingly complex challenges across mathematics, science, and coding, it continues the evolution of reasoning-focused AI with improved analytical depth and accuracy.
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Microsoft
Phi-3.5 MoE was created using a mixture-of-experts architecture, designed to provide enhanced capabilities while maintaining efficiency through sparse activation. Built to combine the benefits of larger models with practical computational requirements, it represents Microsoft's exploration of efficient scaling techniques.
7 months newer
Phi-3.5-MoE-instruct
Microsoft
2024-08-23
o3
OpenAI
2025-04-16
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Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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o3
Average Score:83.3%(+46.5%)
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Phi-3.5-MoE-instruct
Average Score:36.8%
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Knowledge Cutoff
Training data recency comparison
o3
2024-05-31
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
1 providers
OpenAI
Throughput: 50 tok/s
Latency: 20ms
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Phi-3.5-MoE-instruct
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o3
Avg Score:83.3%(+46.5%)
Providers:1
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Phi-3.5-MoE-instruct
Avg Score:36.8%
Providers:0