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o1 vs Phi-3.5-MoE-instruct
Comprehensive side-by-side LLM comparison
o1 leads with 23.6% higher average benchmark score. o1 is available on 2 providers. Overall, o1 is the stronger choice for coding tasks.
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OpenAI
o1 was developed as part of OpenAI's reasoning-focused model series, designed to spend more time thinking before responding. Built to excel at complex reasoning tasks in science, coding, and mathematics, it employs extended internal reasoning processes to solve harder problems than traditional language models through careful step-by-step analysis.
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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.
3 months newer
Phi-3.5-MoE-instruct
Microsoft
2024-08-23
o1
OpenAI
2024-12-17
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Performance Metrics
Context window and performance specifications
Average performance across 7 common benchmarks
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o1
Average Score:89.8%(+23.6%)
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Phi-3.5-MoE-instruct
Average Score:66.2%
Provider Availability & Performance
Available providers and their performance metrics
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o1
2 providers
Azure
Throughput: 16 tok/s
Latency: 0.54ms
OpenAI
Throughput: 66 tok/s
Latency: 16.2ms
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o1
Avg Score:89.8%(+23.6%)
Providers:2
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Phi-3.5-MoE-instruct
Avg Score:66.2%
Providers:0