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o3-mini vs Phi-3.5-vision-instruct
Comprehensive side-by-side LLM comparison
o3-mini leads with 24.7% higher average benchmark score. Phi-3.5-vision-instruct supports multimodal inputs. o3-mini is available on 2 providers. Overall, o3-mini is the stronger choice for coding tasks.
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OpenAI
o3-mini is a language model developed by OpenAI. The model shows competitive results across 26 benchmarks. It excels particularly in COLLIE (98.7%), MATH (97.9%), IFEval (93.9%). It supports a 300K token context window for handling large documents. The model is available through 2 API providers. Released in 2025, it represents OpenAI's latest advancement in AI technology.
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Microsoft
Phi-3.5-vision-instruct is a multimodal language model developed by Microsoft. It achieves strong performance with an average score of 68.3% across 9 benchmarks. It excels particularly in ScienceQA (91.3%), POPE (86.1%), MMBench (81.9%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Microsoft's latest advancement in AI technology.
5 months newer
Phi-3.5-vision-instruct
Microsoft
2024-08-23
o3-mini
OpenAI
2025-01-30
Performance Metrics
Context window and performance specifications
Average performance across 35 common benchmarks
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o3-mini
Average Score:42.3%(+24.7%)
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Phi-3.5-vision-instruct
Average Score:17.6%
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Knowledge Cutoff
Training data recency comparison
o3-mini
2023-09-30
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-mini
2 providers
Azure
Throughput: 115 tok/s
Latency: 5.2ms
OpenAI
Throughput: 115 tok/s
Latency: 5.2ms
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o3-mini
Avg Score:42.3%(+24.7%)
Providers:2
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Phi-3.5-vision-instruct
Avg Score:17.6%
Providers:0