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Gemma 3 27B vs Llama 4 Scout
Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. Llama 4 Scout offers 19.7M more tokens in context window than Gemma 3 27B. Both models have similar pricing. Llama 4 Scout is available on 6 providers. Both models have their strengths depending on your specific coding needs.
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Gemma 3 27B represents the largest variant in the Gemma 3 family, developed to provide flagship-level open-source capabilities. Built with advanced training methodologies and 27 billion parameters, it offers researchers and developers access to powerful language understanding without proprietary restrictions.
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Meta
Llama 4 Scout was created as an exploratory variant in the Llama 4 family, designed to investigate new architectures and optimization strategies. Built as part of Meta's commitment to advancing open-source AI, it serves as a testbed for innovations that may inform future model releases.
24 days newer
Gemma 3 27B
2025-03-12
Llama 4 Scout
Meta
2025-04-05
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Pricing Comparison
Cost per million tokens (USD)
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Gemma 3 27B
Input:$0.10
Output:$0.20($0.08 cheaper)
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Llama 4 Scout
Input:$0.08
Output:$0.30
Performance Metrics
Context window and performance specifications
Average performance across 7 common benchmarks
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Gemma 3 27B
Average Score:66.8%(+0.3%)
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Llama 4 Scout
Average Score:66.5%
Provider Availability & Performance
Available providers and their performance metrics
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Gemma 3 27B
2 providers
DeepInfra
Throughput: 33 tok/s
Latency: 0.2ms
Novita
Throughput: 33 tok/s
Latency: 0.2ms
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Gemma 3 27B
Avg Score:66.8%(+0.3%)
Providers:2
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Llama 4 Scout
Avg Score:66.5%
Providers:6