Model Comparison

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

DeepSeek

DeepSeek-V3

DeepSeek

DeepSeek-V3 is a language model developed by DeepSeek. It achieves strong performance with an average score of 67.2% across 20 benchmarks. It excels particularly in DROP (91.6%), CLUEWSC (90.9%), MATH-500 (90.2%). It supports a 262K token context window for handling large documents. The model is available through 1 API provider. 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-V3

DeepSeek

2024-12-25

Google

MedGemma 4B IT

Google

2025-05-20

4 months newer

Performance Metrics

Context window and performance specifications

DeepSeek

DeepSeek-V3

Larger context
Max Context:262.1K
Parameters:671.0B
Google

MedGemma 4B IT

Max Context:-
Parameters:4.3B

Performance comparison across key benchmark categories

DeepSeek

DeepSeek-V3

general
+5.6%
65.1%
Google

MedGemma 4B IT

general
59.5%

Provider Availability & Performance

Available providers and their performance metrics

DeepSeek

DeepSeek-V3

1 providers

DeepSeek

Throughput: 100 tok/s
Latency: 0.5ms
Google

MedGemma 4B IT

0 providers
DeepSeek

DeepSeek-V3

Avg Score:0.0%
Providers:1
Google

MedGemma 4B IT

Avg Score:0.0%
Providers:0