Model Comparison

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

DeepSeek

DeepSeek VL2 Small

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 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

DeepSeek VL2 Small

DeepSeek

2024-12-13

Microsoft

Phi 4 Reasoning

Microsoft

2025-04-30

4 months newer

Performance comparison across key benchmark categories

DeepSeek

DeepSeek VL2 Small

math
60.7%
general
68.9%
Microsoft

Phi 4 Reasoning

math
+15.9%
76.6%
general
+5.4%
74.3%
Knowledge Cutoff
Training data recency comparison

Phi 4 Reasoning

2025-03-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

DeepSeek

DeepSeek VL2 Small

0 providers
Microsoft

Phi 4 Reasoning

0 providers
DeepSeek

DeepSeek VL2 Small

Avg Score:0.0%
Providers:0
Microsoft

Phi 4 Reasoning

Avg Score:0.0%
Providers:0