Model Comparison

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

DeepSeek

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.

Google

MedGemma 4B IT

Google

MedGemma 4B IT is a multimodal language model developed by Google. The model shows competitive results across 7 benchmarks. It excels particularly in MIMIC CXR (88.9%), DermMCQA (71.8%), PathMCQA (69.8%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Google's latest advancement in AI technology.

DeepSeek

DeepSeek VL2 Tiny

DeepSeek

2024-12-13

Google

MedGemma 4B IT

Google

2025-05-20

5 months newer

Performance comparison across key benchmark categories

DeepSeek

DeepSeek VL2 Tiny

vision
+13.0%
69.1%
general
+3.1%
62.5%
Google

MedGemma 4B IT

vision
56.1%
general
59.5%

Provider Availability & Performance

Available providers and their performance metrics

DeepSeek

DeepSeek VL2 Tiny

0 providers
Google

MedGemma 4B IT

0 providers
DeepSeek

DeepSeek VL2 Tiny

Avg Score:0.0%
Providers:0
Google

MedGemma 4B IT

Avg Score:0.0%
Providers:0