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

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.

Qwen2 7B Instruct
Alibaba
Qwen2 7B Instruct is a language model developed by Alibaba. The model shows competitive results across 14 benchmarks. It excels particularly in MT-Bench (84.1%), GSM8k (82.3%), HumanEval (79.9%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba's latest advancement in AI technology.

Qwen2 7B Instruct
Alibaba
2024-07-23

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

Phi-4-multimodal-instruct

Qwen2 7B Instruct
Performance comparison across key benchmark categories

Phi-4-multimodal-instruct

Qwen2 7B Instruct
Phi-4-multimodal-instruct
2024-06-01
Provider Availability & Performance
Available providers and their performance metrics

Phi-4-multimodal-instruct
DeepInfra

Qwen2 7B Instruct

Phi-4-multimodal-instruct

Qwen2 7B Instruct