Comprehensive side-by-side LLM comparison
Gemma 3 4B leads with 13.9% higher average benchmark score. Llama 4 Maverick offers 1.7M more tokens in context window than Gemma 3 4B. Gemma 3 4B is $0.71 cheaper per million tokens. Llama 4 Maverick is available on 7 providers. Overall, Gemma 3 4B is the stronger choice for coding tasks.
Gemma 3 4B is a multimodal language model developed by Google. The model shows competitive results across 26 benchmarks. It excels particularly in IFEval (90.2%), GSM8k (89.2%), DocVQA (75.8%). It supports a 262K token context window for handling large documents. The model is available through 1 API provider. 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 Maverick is a multimodal language model developed by Meta. It achieves strong performance with an average score of 71.8% across 13 benchmarks. It excels particularly in DocVQA (94.4%), MGSM (92.3%), ChartQA (90.0%). With a 2.0M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 7 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 4B
2025-03-12
Llama 4 Maverick
Meta
2025-04-05
Cost per million tokens (USD)
Gemma 3 4B
Llama 4 Maverick
Context window and performance specifications
Average performance across 32 common benchmarks
Gemma 3 4B
Llama 4 Maverick
Gemma 3 4B
2024-08-01
Available providers and their performance metrics
Gemma 3 4B
DeepInfra
Llama 4 Maverick
Gemma 3 4B
Llama 4 Maverick
Gemma 3 4B
Llama 4 Maverick
DeepInfra
Fireworks
Groq
Lambda
Novita
Sambanova
Together