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GPT-4o mini vs Phi-3.5-vision-instruct
Comprehensive side-by-side LLM comparison
Phi-3.5-vision-instruct leads with 2.7% higher average benchmark score. Both models have their strengths depending on your specific coding needs.
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OpenAI
GPT-4o mini is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 63.5% across 9 benchmarks. It excels particularly in HumanEval (87.2%), MGSM (87.0%), MMLU (82.0%). It supports a 144K 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 2024, 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.
1 month newer
GPT-4o mini
OpenAI
2024-07-18
Phi-3.5-vision-instruct
Microsoft
2024-08-23
Performance Metrics
Context window and performance specifications
Average performance across 16 common benchmarks
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GPT-4o mini
Average Score:35.7%
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Phi-3.5-vision-instruct
Average Score:38.4%(+2.7%)
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Knowledge Cutoff
Training data recency comparison
GPT-4o mini
2023-10-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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GPT-4o mini
1 providers
Azure
Throughput: 92 tok/s
Latency: 0.52ms
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Phi-3.5-vision-instruct
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GPT-4o mini
Avg Score:35.7%
Providers:1
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Phi-3.5-vision-instruct
Avg Score:38.4%(+2.7%)
Providers:0