Comprehensive side-by-side LLM comparison
GPT-4o leads with 3.6% higher average benchmark score. Phi-3.5-mini-instruct offers 111.6K more tokens in context window than GPT-4o. Phi-3.5-mini-instruct is $12.30 cheaper per million tokens. GPT-4o supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
OpenAI
GPT-4o is a multimodal language model developed by OpenAI. The model shows competitive results across 39 benchmarks. It excels particularly in AI2D (94.2%), DocVQA (92.8%), ChartQA (85.7%). It supports a 144K 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-mini-instruct is a language model developed by Microsoft. The model shows competitive results across 31 benchmarks. It excels particularly in GSM8k (86.2%), ARC-C (84.6%), RULER (84.1%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Microsoft's latest advancement in AI technology.
17 days newer
GPT-4o
OpenAI
2024-08-06
Phi-3.5-mini-instruct
Microsoft
2024-08-23
Cost per million tokens (USD)
GPT-4o
Phi-3.5-mini-instruct
Context window and performance specifications
Average performance across 66 common benchmarks
GPT-4o
Phi-3.5-mini-instruct
Available providers and their performance metrics
GPT-4o
Azure
OpenAI
GPT-4o
Phi-3.5-mini-instruct
GPT-4o
Phi-3.5-mini-instruct
Phi-3.5-mini-instruct
Azure