Model Comparison

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

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.

Gemma 3n E2B Instructed

Google

Gemma 3n E2B Instructed is a multimodal language model developed by Google. The model shows competitive results across 18 benchmarks. Notable strengths include HumanEval (66.5%), MMLU (60.1%), Global-MMLU-Lite (59.0%). 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-V3 0324

DeepSeek

2025-03-25

Gemma 3n E2B Instructed

Google

2025-06-26

3 months newer

Average performance across 3 common benchmarks

DeepSeek-V3 0324

+40.1%

Average Score:66.3%

Gemma 3n E2B Instructed

Average Score:26.2%

Performance comparison across key benchmark categories

DeepSeek-V3 0324

math

+53.6%

94.0%

general

+36.9%

69.7%

code

+16.0%

49.2%

Gemma 3n E2B Instructed

math

40.4%

general

32.8%

code

33.2%

Benchmark Scores - Detailed View

Side-by-side comparison of all benchmark scores

Knowledge Cutoff

Training data recency comparison

Gemma 3n E2B Instructed

2024-06-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

DeepSeek-V3 0324

0 providers

Gemma 3n E2B Instructed

0 providers

DeepSeek-V3 0324

+40.1%

Avg Score:66.3%

Providers:0

Gemma 3n E2B Instructed

Avg Score:26.2%

Providers:0