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o1 vs Phi-3.5-mini-instruct
Comprehensive side-by-side LLM comparison
Phi-3.5-mini-instruct leads with 10.7% higher average benchmark score. o1 offers 44.0K more tokens in context window than Phi-3.5-mini-instruct. 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 is a language model developed by OpenAI. It achieves strong performance with an average score of 71.6% across 19 benchmarks. It excels particularly in GSM8k (97.1%), MATH (96.4%), GPQA Physics (92.8%). It supports a 300K 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.
3 months newer
Phi-3.5-mini-instruct
Microsoft
2024-08-23
o1
OpenAI
2024-12-17
Pricing Comparison
Cost per million tokens (USD)
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o1
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 43 common benchmarks
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o1
Average Score:31.6%
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Phi-3.5-mini-instruct
Average Score:42.3%(+10.7%)
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:31.6%
Providers:2
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Phi-3.5-mini-instruct
Avg Score:42.3%(+10.7%)
Providers:1