Comprehensive side-by-side LLM comparison
DeepSeek VL2 Small leads with 4.3% higher average benchmark score. DeepSeek VL2 Small supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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 Plus is a language model developed by Microsoft. It achieves strong performance with an average score of 78.9% across 11 benchmarks. It excels particularly in FlenQA (97.9%), HumanEval+ (92.3%), IFEval (84.9%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Microsoft's latest advancement in AI technology.
4 months newer
DeepSeek VL2 Small
DeepSeek
2024-12-13
Phi 4 Reasoning Plus
Microsoft
2025-04-30
Average performance across 25 common benchmarks
DeepSeek VL2 Small
Phi 4 Reasoning Plus
Phi 4 Reasoning Plus
2025-03-01
Available providers and their performance metrics
DeepSeek VL2 Small
Phi 4 Reasoning Plus
DeepSeek VL2 Small
Phi 4 Reasoning Plus