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Gemma 3 27B vs Llama 4 Behemoth
Comprehensive side-by-side LLM comparison
. Both models have their strengths depending on your specific coding needs.
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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.
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Meta AI
Llama 4 Behemoth is a research-scale Mixture-of-Experts language model with approximately 2 trillion total parameters (288 billion active per inference), developed by Meta as a teacher model for the Llama 4 family. Available only in limited preview, it serves as the knowledge distillation source for Llama 4 Scout and Maverick. Behemoth targets research applications requiring the largest-scale open-weight model architecture from the Llama 4 generation.
Gemma 3 27B
Google DeepMind
2025-03-12
Performance Metrics
Context window and performance specifications
Provider Availability & Performance
Available providers and their performance metrics
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Gemma 3 27B
0 providers
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Llama 4 Behemoth
1 providers
Together AI
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Gemma 3 27B
Avg Score:0.0%
Providers:0
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Llama 4 Behemoth
Avg Score:0.0%
Providers:1