+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
GPT-4o vs Phi-3.5-vision-instruct
Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. GPT-4o is available on 2 providers. Both models have their strengths depending on your specific coding needs.
+
+
+
+
OpenAI
GPT-4o is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 77.4% across 8 benchmarks. It excels particularly in MGSM (90.5%), HumanEval (90.2%), MMLU (88.7%). It supports a 132K token context window for handling large documents. The model is available through 2 API providers. 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.
+
+
+
+
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.
3 months newer
GPT-4o
OpenAI
2024-05-13
Phi-3.5-vision-instruct
Microsoft
2024-08-23
Performance Metrics
Context window and performance specifications
Average performance across 16 common benchmarks
+
+
+
+
GPT-4o
Average Score:38.7%(+0.3%)
+
+
+
+
Phi-3.5-vision-instruct
Average Score:38.4%
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
GPT-4o
2 providers
Azure
Throughput: 92 tok/s
Latency: 0.54ms
OpenAI
Throughput: 100 tok/s
Latency: 0.5ms
+
+
+
+
+
+
+
+
GPT-4o
Avg Score:38.7%(+0.3%)
Providers:2
+
+
+
+
Phi-3.5-vision-instruct
Avg Score:38.4%
Providers:0