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Llama 3.2 11B Instruct vs Llama 4 Scout
Comprehensive side-by-side LLM comparison
Llama 4 Scout leads with 12.5% higher average benchmark score. Llama 4 Scout offers 19.7M more tokens in context window than Llama 3.2 11B Instruct. Both models have similar pricing. Overall, Llama 4 Scout is the stronger choice for coding tasks.
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Meta
Llama 3.2 11B was introduced as a mid-sized variant in the Llama 3.2 family, designed to offer enhanced capabilities while maintaining efficiency. Built to provide a balanced option for applications requiring more than lightweight models but less than flagship sizes, it serves diverse use cases in the open-source community.
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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.
6 months newer
Llama 3.2 11B Instruct
Meta
2024-09-25
Llama 4 Scout
Meta
2025-04-05
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Pricing Comparison
Cost per million tokens (USD)
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Llama 3.2 11B Instruct
Input:$0.05
Output:$0.05($0.28 cheaper)
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Llama 4 Scout
Input:$0.08
Output:$0.30
Performance Metrics
Context window and performance specifications
Average performance across 8 common benchmarks
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Llama 3.2 11B Instruct
Average Score:62.6%
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Llama 4 Scout
Average Score:75.1%(+12.5%)
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Knowledge Cutoff
Training data recency comparison
Llama 3.2 11B Instruct
2023-12-31
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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Llama 3.2 11B Instruct
6 providers
Bedrock
Throughput: 100 tok/s
Latency: 0.5ms
DeepInfra
Throughput: 108 tok/s
Latency: 0.5ms
Fireworks
Throughput: 125 tok/s
Latency: 0.2ms
Groq
Throughput: 100 tok/s
Latency: 0.5ms
Sambanova
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Llama 3.2 11B Instruct
Avg Score:62.6%
Providers:6
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Llama 4 Scout
Avg Score:75.1%(+12.5%)
Providers:6