Model Comparison

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

DeepSeek R1 Distill Llama 8B

DeepSeek

DeepSeek R1 Distill Llama 8B is a language model developed by DeepSeek. It achieves strong performance with an average score of 64.4% across 4 benchmarks. It excels particularly in MATH-500 (89.1%), AIME 2024 (80.0%), GPQA (49.0%). It's licensed for commercial use, making it suitable for enterprise applications. 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 R1 Distill Llama 8B

DeepSeek

2025-01-20

Gemma 3n E2B Instructed

Google

2025-06-26

5 months newer

Average performance across 2 common benchmarks

DeepSeek R1 Distill Llama 8B

+25.3%

Average Score:44.3%

Gemma 3n E2B Instructed

Average Score:19.0%

Performance comparison across key benchmark categories

DeepSeek R1 Distill Llama 8B

math

+48.7%

89.1%

general

+31.7%

64.5%

code

+6.4%

39.6%

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 R1 Distill Llama 8B

0 providers

Gemma 3n E2B Instructed

0 providers

DeepSeek R1 Distill Llama 8B

+25.3%

Avg Score:44.3%

Providers:0

Gemma 3n E2B Instructed

Avg Score:19.0%

Providers:0