Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance

GPT-4
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 shows particular specialization in reasoning tasks with an average performance of 93.0%. The model is available through 2 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly.

Phi-4-multimodal-instruct
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%). The model shows particular specialization in general tasks with an average performance of 75.8%. 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.

GPT-4
OpenAI
2023-06-13

Phi-4-multimodal-instruct
Microsoft
2025-02-01
1 year newer
Pricing Comparison
Cost per million tokens (USD)

GPT-4

Phi-4-multimodal-instruct
Performance Metrics
Context window and performance specifications

GPT-4

Phi-4-multimodal-instruct
Performance comparison across key benchmark categories

GPT-4

Phi-4-multimodal-instruct
GPT-4
2022-12-31
Phi-4-multimodal-instruct
2024-06-01
Provider Availability & Performance
Available providers and their performance metrics

GPT-4
Azure
OpenAI

Phi-4-multimodal-instruct
DeepInfra

GPT-4

Phi-4-multimodal-instruct