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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 is a multimodal language model developed by OpenAI. It supports a 300K token context window for handling large documents. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, 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.
9 months newer
Phi-3.5-mini-instruct
Microsoft
2024-08-23
o3-pro
OpenAI
2025-06-10
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
Average performance across 31 common benchmarks
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o3-pro
Average Score:0.0%
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Phi-3.5-mini-instruct
Average Score:58.7%(+58.7%)
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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:58.7%(+58.7%)
Providers:1