Model Comparison

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

DeepSeek

DeepSeek-V3 0324

DeepSeek

DeepSeek-V3 0324 is a language model developed by DeepSeek. It achieves strong performance with an average score of 70.4% across 5 benchmarks. It excels particularly in MATH-500 (94.0%), MMLU-Pro (81.2%), GPQA (68.4%). Released in 2025, it represents DeepSeek's latest advancement in AI technology.

Google

Gemma 3n E2B

Google

Gemma 3n E2B is a multimodal language model developed by Google. The model shows competitive results across 11 benchmarks. Notable strengths include PIQA (78.9%), BoolQ (76.4%), ARC-E (75.8%). 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 0324

DeepSeek

2025-03-25

Google

Gemma 3n E2B

Google

2025-06-26

3 months newer

Performance comparison across key benchmark categories

DeepSeek

DeepSeek-V3 0324

general
+15.6%
69.7%
Google

Gemma 3n E2B

general
54.1%
Knowledge Cutoff
Training data recency comparison

Gemma 3n E2B

2024-06-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

DeepSeek

DeepSeek-V3 0324

0 providers
Google

Gemma 3n E2B

0 providers
DeepSeek

DeepSeek-V3 0324

Avg Score:0.0%
Providers:0
Google

Gemma 3n E2B

Avg Score:0.0%
Providers:0