Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance
Gemma 3n E4B Instructed
Gemma 3n E4B Instructed is a multimodal language model developed by Google. The model shows competitive results across 18 benchmarks. Notable strengths include HumanEval (75.0%), MGSM (67.0%), MMLU (64.9%). The model is available through 1 API provider. 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.
Llama 3.2 11B Instruct
Meta
Llama 3.2 11B Instruct is a multimodal language model developed by Meta. It achieves strong performance with an average score of 63.6% across 11 benchmarks. It excels particularly in AI2D (91.1%), DocVQA (88.4%), ChartQA (83.4%). It supports a 256K token context window for handling large documents. The model is available through 6 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents Meta's latest advancement in AI technology.
Llama 3.2 11B Instruct
Meta
2024-09-25
Gemma 3n E4B Instructed
2025-06-26
9 months newer
Pricing Comparison
Cost per million tokens (USD)
Gemma 3n E4B Instructed
Llama 3.2 11B Instruct
Performance Metrics
Context window and performance specifications
Gemma 3n E4B Instructed
Llama 3.2 11B Instruct
Average performance across 3 common benchmarks
Gemma 3n E4B Instructed
Llama 3.2 11B Instruct
Performance comparison across key benchmark categories
Gemma 3n E4B Instructed
Llama 3.2 11B Instruct
Llama 3.2 11B Instruct
2023-12-31
Gemma 3n E4B Instructed
2024-06-01
Provider Availability & Performance
Available providers and their performance metrics
Gemma 3n E4B Instructed
Together
Llama 3.2 11B Instruct
Sambanova
Together
DeepInfra
Fireworks
Groq
Bedrock
Gemma 3n E4B Instructed
Llama 3.2 11B Instruct