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Gemma 3 4B vs Llama 4 Scout
Comprehensive side-by-side LLM comparison
Llama 4 Scout leads with 13.6% higher average benchmark score. Llama 4 Scout offers 19.7M more tokens in context window than Gemma 3 4B. Both models have similar pricing. Llama 4 Scout is available on 6 providers. Overall, Llama 4 Scout is the stronger choice for coding tasks.
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Gemma 3 4B was developed as a compact yet capable open-source model, designed to strike a balance between performance and resource efficiency. Built with 4 billion parameters and instruction tuning, it provides a practical option for applications requiring moderate capability with manageable computational costs.
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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 4B
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 4B
Input:$0.02
Output:$0.04($0.32 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 4B
Average Score:52.9%
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Llama 4 Scout
Average Score:66.5%(+13.6%)
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Knowledge Cutoff
Training data recency comparison
Gemma 3 4B
2024-08-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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Gemma 3 4B
1 providers
DeepInfra
Throughput: 33 tok/s
Latency: 0.2ms
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Llama 4 Scout
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Gemma 3 4B
Avg Score:52.9%
Providers:1
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Llama 4 Scout
Avg Score:66.5%(+13.6%)
Providers:6