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Llama 3.1 405B Instruct vs Llama 4 Scout
Comprehensive side-by-side LLM comparison
Llama 3.1 405B Instruct leads with 5.9% higher average benchmark score. Llama 4 Scout offers 19.7M more tokens in context window than Llama 3.1 405B Instruct. Llama 4 Scout is $1.40 cheaper per million tokens. Llama 4 Scout supports multimodal inputs. Llama 3.1 405B Instruct is available on 8 providers. Overall, Llama 3.1 405B Instruct is the stronger choice for coding tasks.
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Meta
Llama 3.1 405B was developed as Meta's largest open-source language model, designed to provide frontier-level capabilities with 405 billion parameters. Built to demonstrate that open-source models can match proprietary systems in capability, it enables researchers and developers to experiment with and deploy a powerful foundation model without licensing 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.
8 months newer
Llama 3.1 405B 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 405B Instruct
Input:$0.89
Output:$0.89
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Llama 4 Scout
Input:$0.08
Output:$0.30($1.40 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 4 common benchmarks
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Llama 3.1 405B Instruct
Average Score:71.3%(+5.9%)
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Llama 4 Scout
Average Score:65.3%
Provider Availability & Performance
Available providers and their performance metrics
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Llama 3.1 405B Instruct
8 providers
Bedrock
Throughput: 100 tok/s
Latency: 0.5ms
DeepInfra
Throughput: 27 tok/s
Latency: 0.5ms
Fireworks
Throughput: 78 tok/s
Latency: 0.5ms
Throughput: 42 tok/s
Latency: 0.4ms
Hyperbolic
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Llama 3.1 405B Instruct
Avg Score:71.3%(+5.9%)
Providers:8
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Llama 4 Scout
Avg Score:65.3%
Providers:6