Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance
Gemma 3 1B
Gemma 3 1B is a language model developed by Google. The model shows competitive results across 18 benchmarks. It excels particularly in IFEval (80.2%), GSM8k (62.8%), Natural2Code (56.0%). 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 4 Scout
Meta
Llama 4 Scout is a multimodal language model developed by Meta. It achieves strong performance with an average score of 67.3% across 12 benchmarks. It excels particularly in DocVQA (94.4%), MGSM (90.6%), ChartQA (88.8%). The model shows particular specialization in vision tasks with an average performance of 81.9%. With a 20.0M token context window, it can handle extensive documents and complex multi-turn conversations. 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 2025, it represents Meta's latest advancement in AI technology.
Gemma 3 1B
2025-03-12
Llama 4 Scout
Meta
2025-04-05
24 days newer
Performance Metrics
Context window and performance specifications
Gemma 3 1B
Llama 4 Scout
Average performance across 5 common benchmarks
Gemma 3 1B
Llama 4 Scout
Performance comparison across key benchmark categories
Gemma 3 1B
Llama 4 Scout
Provider Availability & Performance
Available providers and their performance metrics
Gemma 3 1B
Llama 4 Scout
Together
DeepInfra
Fireworks
Groq
Novita
Lambda
Gemma 3 1B
Llama 4 Scout