Comprehensive side-by-side LLM comparison
Phi-3.5-mini-instruct leads with 2.2% higher average benchmark score. Phi-3.5-mini-instruct offers 123.9K more tokens in context window than GPT-4.5. Phi-3.5-mini-instruct is $224.80 cheaper per million tokens. GPT-4.5 supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
OpenAI
GPT-4.5 is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 63.1% across 27 benchmarks. It excels particularly in GSM8k (97.0%), MMLU (90.8%), CharXiv-D (90.0%). It supports a 132K 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 2025, 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.
6 months newer
Phi-3.5-mini-instruct
Microsoft
2024-08-23
GPT-4.5
OpenAI
2025-02-27
Cost per million tokens (USD)
GPT-4.5
Phi-3.5-mini-instruct
Context window and performance specifications
Average performance across 53 common benchmarks
GPT-4.5
Phi-3.5-mini-instruct
Available providers and their performance metrics
GPT-4.5
OpenAI
Phi-3.5-mini-instruct
GPT-4.5
Phi-3.5-mini-instruct
GPT-4.5
Phi-3.5-mini-instruct
Azure