Model Comparison

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

DeepSeek

DeepSeek-V3.2-Exp

DeepSeek

DeepSeek-V3.2-Exp is a language model developed by DeepSeek. It achieves strong performance with an average score of 66.1% across 14 benchmarks. It excels particularly in SimpleQA (97.1%), AIME 2025 (89.3%), MMLU-Pro (85.0%). It supports a 229K token context window for handling large documents. The model is available through 2 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, 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.

Google

MedGemma 4B IT

Google

2025-05-20

DeepSeek

DeepSeek-V3.2-Exp

DeepSeek

2025-09-29

4 months newer

Performance Metrics

Context window and performance specifications

DeepSeek

DeepSeek-V3.2-Exp

Larger context
Max Context:229.4K
Parameters:685.0B
Google

MedGemma 4B IT

Max Context:-
Parameters:4.3B

Average performance across 21 common benchmarks

DeepSeek

DeepSeek-V3.2-Exp

+24.6%
Average Score:44.1%
Google

MedGemma 4B IT

Average Score:19.5%

Performance comparison across key benchmark categories

DeepSeek

DeepSeek-V3.2-Exp

general
+2.6%
62.1%
Google

MedGemma 4B IT

general
59.5%

Provider Availability & Performance

Available providers and their performance metrics

DeepSeek

DeepSeek-V3.2-Exp

2 providers

Novita

ZeroEval

Throughput: 100 tok/s
Latency: 0.7ms
Google

MedGemma 4B IT

0 providers
DeepSeek

DeepSeek-V3.2-Exp

+24.6%
Avg Score:44.1%
Providers:2
Google

MedGemma 4B IT

Avg Score:19.5%
Providers:0