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o3 vs Phi-3.5-vision-instruct
Comprehensive side-by-side LLM comparison
o3 leads with 30.0% higher average benchmark score. Overall, o3 is the stronger choice for coding tasks.
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OpenAI
o3 is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 67.5% across 22 benchmarks. It excels particularly in COLLIE (98.4%), AIME 2024 (91.6%), ARC-AGI (88.0%). 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-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.
7 months newer
Phi-3.5-vision-instruct
Microsoft
2024-08-23
o3
OpenAI
2025-04-16
Performance Metrics
Context window and performance specifications
Average performance across 29 common benchmarks
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o3
Average Score:51.2%(+30.0%)
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Phi-3.5-vision-instruct
Average Score:21.2%
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Knowledge Cutoff
Training data recency comparison
o3
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
1 providers
OpenAI
Throughput: 50 tok/s
Latency: 20ms
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Phi-3.5-vision-instruct
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o3
Avg Score:51.2%(+30.0%)
Providers:1
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Phi-3.5-vision-instruct
Avg Score:21.2%
Providers:0