Comprehensive side-by-side LLM comparison
GPT-5 leads with 10.2% higher average benchmark score. GPT-5 offers 272.0K more tokens in context window than Phi-3.5-mini-instruct. Phi-3.5-mini-instruct is $11.05 cheaper per million tokens. GPT-5 supports multimodal inputs. Overall, GPT-5 is the stronger choice for coding tasks.
OpenAI
GPT-5 is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 70.1% across 35 benchmarks. It excels particularly in SWE-Lancer (IC-Diamond subset) (100.0%), COLLIE (99.0%), Tau2 Telecom (96.7%). It supports a 528K 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 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.
11 months newer
Phi-3.5-mini-instruct
Microsoft
2024-08-23
GPT-5
OpenAI
2025-08-07
Cost per million tokens (USD)
GPT-5
Phi-3.5-mini-instruct
Context window and performance specifications
Average performance across 62 common benchmarks
GPT-5
Phi-3.5-mini-instruct
GPT-5
2024-09-30
Available providers and their performance metrics
GPT-5
OpenAI
ZeroEval
GPT-5
Phi-3.5-mini-instruct
GPT-5
Phi-3.5-mini-instruct
Phi-3.5-mini-instruct
Azure