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o1-preview vs Phi-3.5-mini-instruct
Comprehensive side-by-side LLM comparison
Phi-3.5-mini-instruct leads with 37.2% higher average benchmark score. Phi-3.5-mini-instruct offers 95.2K more tokens in context window than o1-preview. Phi-3.5-mini-instruct is $74.80 cheaper per million tokens. Overall, Phi-3.5-mini-instruct is the stronger choice for coding tasks.
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OpenAI
o1-preview is a language model developed by OpenAI. It achieves strong performance with an average score of 64.8% across 8 benchmarks. It excels particularly in MGSM (90.8%), MMLU (90.8%), MATH (85.5%). It supports a 161K 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-mini-instruct is a language model developed by Microsoft. The model shows competitive results across 31 benchmarks. It excels particularly in GSM8k (86.2%), ARC-C (84.6%), RULER (84.1%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. 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-mini-instruct
Microsoft
2024-08-23
o1-preview
OpenAI
2024-09-12
Pricing Comparison
Cost per million tokens (USD)
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o1-preview
Input:$15.00
Output:$60.00
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Phi-3.5-mini-instruct
Input:$0.10
Output:$0.10($74.80 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 35 common benchmarks
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o1-preview
Average Score:14.8%
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Phi-3.5-mini-instruct
Average Score:52.0%(+37.2%)
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:14.8%
Providers:2
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Phi-3.5-mini-instruct
Avg Score:52.0%(+37.2%)
Providers:1