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o1-pro vs Phi-4-multimodal-instruct
Comprehensive side-by-side LLM comparison
Phi-4-multimodal-instruct leads with 53.8% higher average benchmark score. Overall, Phi-4-multimodal-instruct is the stronger choice for coding tasks.
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OpenAI
o1-pro is a multimodal language model developed by OpenAI. This model demonstrates exceptional performance with an average score of 82.5% across 2 benchmarks. It excels particularly in AIME 2024 (86.0%), GPQA (79.0%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents OpenAI's latest advancement in AI technology.
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Microsoft
Phi-4-multimodal-instruct is a multimodal language model developed by Microsoft. It achieves strong performance with an average score of 72.0% across 15 benchmarks. It excels particularly in ScienceQA Visual (97.5%), DocVQA (93.2%), MMBench (86.7%). It supports a 256K 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. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Microsoft's latest advancement in AI technology.
1 month newer
o1-pro
OpenAI
2024-12-17
Phi-4-multimodal-instruct
Microsoft
2025-02-01
Performance Metrics
Context window and performance specifications
Average performance across 17 common benchmarks
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o1-pro
Average Score:9.7%
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Phi-4-multimodal-instruct
Average Score:63.5%(+53.8%)
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Knowledge Cutoff
Training data recency comparison
o1-pro
2023-09-30
Phi-4-multimodal-instruct
2024-06-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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o1-pro
0 providers
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Phi-4-multimodal-instruct
1 providers
DeepInfra
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o1-pro
Avg Score:9.7%
Providers:0
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Phi-4-multimodal-instruct
Avg Score:63.5%(+53.8%)
Providers:1