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

DeepSeek VL2 Tiny
DeepSeek
DeepSeek VL2 Tiny is a multimodal language model developed by DeepSeek. It achieves strong performance with an average score of 63.1% across 14 benchmarks. It excels particularly in DocVQA (88.9%), ChartQA (81.0%), OCRBench (80.9%). 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.

Phi 4 Reasoning
Microsoft
Phi 4 Reasoning is a language model developed by Microsoft. It achieves strong performance with an average score of 75.1% across 11 benchmarks. It excels particularly in FlenQA (97.7%), HumanEval+ (92.9%), IFEval (83.4%). The model shows particular specialization in code tasks with an average performance of 76.7%. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Microsoft's latest advancement in AI technology.

DeepSeek VL2 Tiny
DeepSeek
2024-12-13

Phi 4 Reasoning
Microsoft
2025-04-30
4 months newer
Performance comparison across key benchmark categories

DeepSeek VL2 Tiny

Phi 4 Reasoning
Phi 4 Reasoning
2025-03-01
Provider Availability & Performance
Available providers and their performance metrics

DeepSeek VL2 Tiny

Phi 4 Reasoning

DeepSeek VL2 Tiny

Phi 4 Reasoning