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Gemma 2 9B vs Llama 4 Scout
Comprehensive side-by-side LLM comparison
Llama 4 Scout leads with 12.5% higher average benchmark score. Llama 4 Scout supports multimodal inputs. Llama 4 Scout is available on 6 providers. Overall, Llama 4 Scout is the stronger choice for coding tasks.
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Gemma 2 9B was created as a more compact open-source model, designed to deliver capable performance with reduced computational requirements. Built with 9 billion parameters and instruction tuning, it serves applications where efficiency and accessibility are valued alongside the benefits of open-source availability.
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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.
9 months newer
Gemma 2 9B
2024-06-27
Llama 4 Scout
Meta
2025-04-05
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Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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Gemma 2 9B
Average Score:53.4%
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Llama 4 Scout
Average Score:65.9%(+12.5%)
Provider Availability & Performance
Available providers and their performance metrics
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Gemma 2 9B
0 providers
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Llama 4 Scout
6 providers
DeepInfra
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Gemma 2 9B
Avg Score:53.4%
Providers:0
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Llama 4 Scout
Avg Score:65.9%(+12.5%)
Providers:6