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o3-pro vs Phi-3.5-mini-instruct
Comprehensive side-by-side LLM comparison
o3-pro offers 44.0K more tokens in context window than Phi-3.5-mini-instruct. Phi-3.5-mini-instruct is $99.80 cheaper per million tokens. o3-pro supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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OpenAI
o3-pro was developed as the flagship reasoning model in the o3 family, designed to deliver maximum reasoning depth and reliability for the most challenging analytical tasks. Built for professionals requiring the highest level of thoughtful problem-solving, it extends reasoning capabilities to handle complex multi-step challenges across diverse domains.
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Microsoft
Phi-3.5 Mini was developed by Microsoft as a small language model designed to deliver impressive performance despite its compact size. Built with efficiency in mind, it demonstrates that capable language understanding and generation can be achieved with fewer parameters, making AI more accessible for edge and resource-constrained deployments.
9 months newer
Phi-3.5-mini-instruct
Microsoft
2024-08-23
o3-pro
OpenAI
2025-06-10
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Pricing Comparison
Cost per million tokens (USD)
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o3-pro
Input:$20.00
Output:$80.00
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Phi-3.5-mini-instruct
Input:$0.10
Output:$0.10($99.80 cheaper)
Performance Metrics
Context window and performance specifications
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Knowledge Cutoff
Training data recency comparison
o3-pro
2024-05-31
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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o3-pro
1 providers
OpenAI
Throughput: 25 tok/s
Latency: 30ms
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Phi-3.5-mini-instruct
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o3-pro
Avg Score:0.0%
Providers:1
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Phi-3.5-mini-instruct
Avg Score:0.0%
Providers:1