Comprehensive side-by-side LLM comparison
Phi-4-multimodal-instruct leads with 5.3% higher average benchmark score. Overall, Phi-4-multimodal-instruct is the stronger choice for coding tasks.
DeepSeek
DeepSeek VL2 Small is a multimodal language model developed by DeepSeek. It achieves strong performance with an average score of 69.6% across 14 benchmarks. It excels particularly in DocVQA (92.3%), ChartQA (84.5%), OCRBench (83.4%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents DeepSeek'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.
1 month newer
DeepSeek VL2 Small
DeepSeek
2024-12-13
Phi-4-multimodal-instruct
Microsoft
2025-02-01
Context window and performance specifications
Average performance across 20 common benchmarks
DeepSeek VL2 Small
Phi-4-multimodal-instruct
Phi-4-multimodal-instruct
2024-06-01
Available providers and their performance metrics
DeepSeek VL2 Small
Phi-4-multimodal-instruct
DeepInfra
DeepSeek VL2 Small
Phi-4-multimodal-instruct
DeepSeek VL2 Small
Phi-4-multimodal-instruct