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Gemma 2 27B vs Llama 4 Maverick
Comprehensive side-by-side LLM comparison
Gemma 2 27B leads with 6.6% higher average benchmark score. Llama 4 Maverick supports multimodal inputs. Llama 4 Maverick is available on 7 providers. Overall, Gemma 2 27B is the stronger choice for coding tasks.
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Gemma 2 27B is a language model developed by Google. It achieves strong performance with an average score of 69.1% across 16 benchmarks. It excels particularly in ARC-E (88.6%), HellaSwag (86.4%), BoolQ (84.8%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Google's latest advancement in AI technology.
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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.
9 months newer
Gemma 2 27B
2024-06-27
Llama 4 Maverick
Meta
2025-04-05
Performance Metrics
Context window and performance specifications
Average performance across 26 common benchmarks
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Gemma 2 27B
Average Score:42.5%(+6.6%)
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Llama 4 Maverick
Average Score:35.9%
Provider Availability & Performance
Available providers and their performance metrics
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Gemma 2 27B
0 providers
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Llama 4 Maverick
7 providers
DeepInfra
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Gemma 2 27B
Avg Score:42.5%(+6.6%)
Providers:0
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Llama 4 Maverick
Avg Score:35.9%
Providers:7