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o1-preview vs Phi-3.5-MoE-instruct
Comprehensive side-by-side LLM comparison
o1-preview leads with 26.6% higher average benchmark score. o1-preview is available on 2 providers. Overall, o1-preview is the stronger choice for coding tasks.
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OpenAI
o1-preview was introduced as an early version of OpenAI's reasoning model series, designed to demonstrate the potential of AI models that engage in extended thinking before responding. Built to solve complex problems through deliberate reasoning processes, it represented an initial step toward more thoughtful and analytical AI systems.
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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.
20 days newer
Phi-3.5-MoE-instruct
Microsoft
2024-08-23
o1-preview
OpenAI
2024-09-12
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Performance Metrics
Context window and performance specifications
Average performance across 4 common benchmarks
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o1-preview
Average Score:85.1%(+26.6%)
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Phi-3.5-MoE-instruct
Average Score:58.5%
Provider Availability & Performance
Available providers and their performance metrics
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o1-preview
2 providers
Azure
Throughput: 16 tok/s
Latency: 0.54ms
OpenAI
Throughput: 66 tok/s
Latency: 16.2ms
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o1-preview
Avg Score:85.1%(+26.6%)
Providers:2
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Phi-3.5-MoE-instruct
Avg Score:58.5%
Providers:0