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Gemma 3 12B vs Llama 4 Maverick
Comprehensive side-by-side LLM comparison
Llama 4 Maverick leads with 4.6% higher average benchmark score. Both models have their strengths depending on your specific coding needs.
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Google DeepMind
Gemma 3 12B is a 12-billion-parameter open-weight model from Google DeepMind, released in March 2025 as part of the Gemma 3 series designed to bring multimodal reasoning to accessible hardware. The model supports both text and image inputs across a 128K token context window, extending the vision capabilities that defined the Gemma 3 generation compared to earlier text-only Gemma releases. It became widely adopted for domain-specific fine-tuning in research and enterprise settings where full multimodal capability was needed without the infrastructure demands of larger frontier models.
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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 12B
Google DeepMind
2025-03-12
Llama 4 Maverick
Meta AI
2025-04-05
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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Gemma 3 12B
Average Score:73.0%
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Llama 4 Maverick
Average Score:77.6%(+4.6%)
Performance comparison across key benchmark categories
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Gemma 3 12B
Coding73.0%
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Llama 4 Maverick
Coding77.6%(+4.6%)
Provider Availability & Performance
Available providers and their performance metrics
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Gemma 3 12B
0 providers
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Llama 4 Maverick
1 providers
Together AI
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Gemma 3 12B
Avg Score:73.0%
Providers:0
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Llama 4 Maverick
Avg Score:77.6%(+4.6%)
Providers:1