Comprehensive side-by-side LLM comparison
Gemma 3 27B leads with 28.8% higher average benchmark score. Llama 4 Scout offers 19.7M more tokens in context window than Gemma 3 27B. Both models have similar pricing. Llama 4 Scout is available on 6 providers. Overall, Gemma 3 27B is the stronger choice for coding tasks.
Gemma 3 27B is a multimodal language model developed by Google. It achieves strong performance with an average score of 65.4% across 26 benchmarks. It excels particularly in GSM8k (95.9%), IFEval (90.4%), MATH (89.0%). It supports a 262K token context window for handling large documents. The model is available through 2 API providers. 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 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%). 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.
24 days newer
Gemma 3 27B
2025-03-12
Llama 4 Scout
Meta
2025-04-05
Cost per million tokens (USD)
Gemma 3 27B
Llama 4 Scout
Context window and performance specifications
Average performance across 31 common benchmarks
Gemma 3 27B
Llama 4 Scout
Available providers and their performance metrics
Gemma 3 27B
DeepInfra
Novita
Gemma 3 27B
Llama 4 Scout
Gemma 3 27B
Llama 4 Scout
Llama 4 Scout
DeepInfra
Fireworks
Groq
Lambda
Novita
Together