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Llama 3.1 8B Instruct vs Llama 4 Scout
Comprehensive side-by-side LLM comparison
Llama 4 Scout leads with 21.0% higher average benchmark score. Llama 4 Scout offers 19.7M more tokens in context window than Llama 3.1 8B Instruct. Both models have similar pricing. Llama 4 Scout supports multimodal inputs. Llama 3.1 8B Instruct is available on 9 providers. Overall, Llama 4 Scout is the stronger choice for coding tasks.
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Meta
Llama 3.1 8B was developed as an efficient open-source model, designed to bring capable instruction-following to applications with limited computational resources. Built with 8 billion parameters, it provides a lightweight option for developers seeking reliable performance without the overhead of larger models.
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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.
8 months newer
Llama 3.1 8B Instruct
Meta
2024-07-23
Llama 4 Scout
Meta
2025-04-05
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Pricing Comparison
Cost per million tokens (USD)
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Llama 3.1 8B Instruct
Input:$0.03
Output:$0.03($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 3 common benchmarks
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Llama 3.1 8B Instruct
Average Score:49.4%
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Llama 4 Scout
Average Score:70.4%(+21.0%)
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Knowledge Cutoff
Training data recency comparison
Llama 3.1 8B 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 3.1 8B Instruct
9 providers
Bedrock
Throughput: 100 tok/s
Latency: 0.5ms
Cerebras
Throughput: 2047 tok/s
Latency: 0.2ms
DeepInfra
Throughput: 118 tok/s
Latency: 0.5ms
Fireworks
Throughput: 292 tok/s
Latency: 0.5ms
Groq
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Llama 3.1 8B Instruct
Avg Score:49.4%
Providers:9
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Llama 4 Scout
Avg Score:70.4%(+21.0%)
Providers:6