Comprehensive side-by-side LLM comparison
Llama 4 Maverick leads with 3.2% higher average benchmark score. Both models have their strengths depending on your specific coding needs.
Google DeepMind
Gemma 3 27B is a 27-billion-parameter open-weight model from Google DeepMind, released in March 2025 alongside the Gemma 3 12B as the higher-capability variant in the series, built with native vision-language support for text and image inputs across a 128K token context window. Among the Gemma 3 releases, the 27B delivered the strongest results on instruction-following and knowledge-intensive reasoning tasks, making it the preferred option for developers needing greater accuracy from a self-hostable model. Its open-weight availability under a permissive license made it a common starting point for vision-language fine-tuning projects.
Meta AI
Llama 4 Maverick, released by Meta on April 5, 2025, is a natively multimodal Mixture-of-Experts large language model with 400 billion total parameters and 17 billion active parameters per inference. It features a 1M token context window and supports text and image input, enabling strong performance on both language and vision tasks. Maverick targets open-source deployments requiring large-scale multimodal reasoning, released under Meta's custom license.
24 days newer

Gemma 3 27B
Google DeepMind
2025-03-12

Llama 4 Maverick
Meta AI
2025-04-05
Context window and performance specifications
Average performance across 1 common benchmarks
Gemma 3 27B
Llama 4 Maverick
Performance comparison across key benchmark categories
Gemma 3 27B
Llama 4 Maverick
Available providers and their performance metrics
Gemma 3 27B
Llama 4 Maverick
Together AI
Gemma 3 27B
Llama 4 Maverick
Gemma 3 27B
Llama 4 Maverick