Comprehensive side-by-side LLM comparison
Gemma 3n E2B Instructed LiteRT (Preview) leads with 10.4% higher average benchmark score. Gemma 3n E2B Instructed LiteRT (Preview) supports multimodal inputs. Overall, Gemma 3n E2B Instructed LiteRT (Preview) is the stronger choice for coding tasks.
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.
Meta
Llama 3.2 3B Instruct is a language model developed by Meta. The model shows competitive results across 15 benchmarks. It excels particularly in NIH/Multi-needle (84.7%), ARC-C (78.6%), GSM8k (77.7%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. Released in 2024, it represents Meta's latest advancement in AI technology.
7 months newer
Llama 3.2 3B Instruct
Meta
2024-09-25
Gemma 3n E2B Instructed LiteRT (Preview)
2025-05-20
Context window and performance specifications
Average performance across 38 common benchmarks
Gemma 3n E2B Instructed LiteRT (Preview)
Llama 3.2 3B Instruct
Gemma 3n E2B Instructed LiteRT (Preview)
2024-06-01
Available providers and their performance metrics
Gemma 3n E2B Instructed LiteRT (Preview)
Llama 3.2 3B Instruct
DeepInfra
Gemma 3n E2B Instructed LiteRT (Preview)
Llama 3.2 3B Instruct
Gemma 3n E2B Instructed LiteRT (Preview)
Llama 3.2 3B Instruct