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

Gemma 3n E2B Instructed LiteRT (Preview)
Gemma 3n E2B Instructed LiteRT (Preview) is a multimodal language model developed by Google. The model shows competitive results across 28 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. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Google's latest advancement in AI technology.

Llama 3.1 Nemotron 70B Instruct
NVIDIA
Llama 3.1 Nemotron 70B Instruct is a language model developed by NVIDIA. It achieves strong performance with an average score of 67.9% across 11 benchmarks. It excels particularly in GSM8k (91.4%), HellaSwag (85.6%), Winogrande (84.5%). The model shows particular specialization in math tasks with an average performance of 86.7%. Released in 2024, it represents NVIDIA's latest advancement in AI technology.

Llama 3.1 Nemotron 70B Instruct
NVIDIA
2024-10-01

Gemma 3n E2B Instructed LiteRT (Preview)
2025-05-20
7 months newer
Average performance across 4 common benchmarks

Gemma 3n E2B Instructed LiteRT (Preview)

Llama 3.1 Nemotron 70B Instruct
Performance comparison across key benchmark categories

Gemma 3n E2B Instructed LiteRT (Preview)

Llama 3.1 Nemotron 70B Instruct
Llama 3.1 Nemotron 70B Instruct
2023-12-01
Gemma 3n E2B Instructed LiteRT (Preview)
2024-06-01
Provider Availability & Performance
Available providers and their performance metrics

Gemma 3n E2B Instructed LiteRT (Preview)

Llama 3.1 Nemotron 70B Instruct

Gemma 3n E2B Instructed LiteRT (Preview)

Llama 3.1 Nemotron 70B Instruct