Comprehensive side-by-side LLM comparison
Phi-3.5-mini-instruct leads with 24.7% higher average benchmark score. Phi-3.5-mini-instruct offers 190.5K more tokens in context window than GPT-4. Phi-3.5-mini-instruct is $89.80 cheaper per million tokens. GPT-4 supports multimodal inputs. Overall, Phi-3.5-mini-instruct is the stronger choice for coding tasks.
OpenAI
GPT-4 is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 77.7% across 12 benchmarks. It excels particularly in AI2 Reasoning Challenge (ARC) (96.3%), HellaSwag (95.3%), Uniform Bar Exam (90.0%). The model is available through 2 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly.
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.
1 year newer
GPT-4
OpenAI
2023-06-13
Phi-3.5-mini-instruct
Microsoft
2024-08-23
Cost per million tokens (USD)
GPT-4
Phi-3.5-mini-instruct
Context window and performance specifications
Average performance across 36 common benchmarks
GPT-4
Phi-3.5-mini-instruct
GPT-4
2022-12-31
Available providers and their performance metrics
GPT-4
Azure
OpenAI
GPT-4
Phi-3.5-mini-instruct
GPT-4
Phi-3.5-mini-instruct
Phi-3.5-mini-instruct
Azure