Comprehensive side-by-side LLM comparison
GPT-5 leads with 28.6% higher average benchmark score. GPT-5 offers 272.0K more tokens in context window than Phi-4-multimodal-instruct. Phi-4-multimodal-instruct is $11.10 cheaper per million tokens. 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-4-multimodal-instruct is a multimodal language model developed by Microsoft. It achieves strong performance with an average score of 72.0% across 15 benchmarks. It excels particularly in ScienceQA Visual (97.5%), DocVQA (93.2%), MMBench (86.7%). It supports a 256K 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. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Microsoft's latest advancement in AI technology.
6 months newer
Phi-4-multimodal-instruct
Microsoft
2025-02-01
GPT-5
OpenAI
2025-08-07
Cost per million tokens (USD)
GPT-5
Phi-4-multimodal-instruct
Context window and performance specifications
Average performance across 48 common benchmarks
GPT-5
Phi-4-multimodal-instruct
Phi-4-multimodal-instruct
2024-06-01
GPT-5
2024-09-30
Available providers and their performance metrics
GPT-5
OpenAI
ZeroEval
GPT-5
Phi-4-multimodal-instruct
GPT-5
Phi-4-multimodal-instruct
Phi-4-multimodal-instruct
DeepInfra