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

Phi 4 Mini
Microsoft
Phi 4 Mini is a language model developed by Microsoft. It achieves strong performance with an average score of 65.4% across 17 benchmarks. It excels particularly in GSM8k (88.6%), ARC-C (83.7%), BoolQ (81.2%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Microsoft's latest advancement in AI technology.

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.

Phi 4 Mini
Microsoft
2025-02-01

Phi-4-multimodal-instruct
Microsoft
2025-02-01
0 days newer
Performance Metrics
Context window and performance specifications

Phi 4 Mini

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

Phi 4 Mini

Phi-4-multimodal-instruct
Phi 4 Mini
2024-06-01
Phi-4-multimodal-instruct
2024-06-01
Provider Availability & Performance
Available providers and their performance metrics

Phi 4 Mini

Phi-4-multimodal-instruct
DeepInfra

Phi 4 Mini

Phi-4-multimodal-instruct