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o1-mini vs Phi-3.5-MoE-instruct
Comprehensive side-by-side LLM comparison
Phi-3.5-MoE-instruct leads with 47.1% higher average benchmark score. o1-mini is available on 2 providers. Overall, Phi-3.5-MoE-instruct is the stronger choice for coding tasks.
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OpenAI
o1-mini is a language model developed by OpenAI. It achieves strong performance with an average score of 71.9% across 6 benchmarks. It excels particularly in HumanEval (92.4%), MATH-500 (90.0%), MMLU (85.2%). It supports a 194K token context window for handling large documents. The model is available through 2 API providers. Released in 2024, 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.
20 days newer
Phi-3.5-MoE-instruct
Microsoft
2024-08-23
o1-mini
OpenAI
2024-09-12
Performance Metrics
Context window and performance specifications
Average performance across 34 common benchmarks
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o1-mini
Average Score:12.7%
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Phi-3.5-MoE-instruct
Average Score:59.8%(+47.1%)
Provider Availability & Performance
Available providers and their performance metrics
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o1-mini
2 providers
Azure
Throughput: 100 tok/s
Latency: 0.5ms
OpenAI
Throughput: 115 tok/s
Latency: 5.2ms
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o1-mini
Avg Score:12.7%
Providers:2
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Phi-3.5-MoE-instruct
Avg Score:59.8%(+47.1%)
Providers:0