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GPT-4.1 nano vs Llama 4 Scout
Comprehensive side-by-side LLM comparison
Llama 4 Scout leads with 8.7% higher average benchmark score. Llama 4 Scout offers 18.9M more tokens in context window than GPT-4.1 nano. 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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OpenAI
GPT-4.1 Nano was developed as the smallest and most efficient variant in the GPT-4.1 family, designed for applications requiring minimal latency and resource usage. Built to enable AI capabilities on edge devices and resource-constrained environments, it distills GPT-4.1 capabilities into an ultra-compact form factor.
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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 days newer
Llama 4 Scout
Meta
2025-04-05
GPT-4.1 nano
OpenAI
2025-04-14
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Pricing Comparison
Cost per million tokens (USD)
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GPT-4.1 nano
Input:$0.10
Output:$0.40
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Llama 4 Scout
Input:$0.08
Output:$0.30($0.12 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 4 common benchmarks
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GPT-4.1 nano
Average Score:60.5%
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Llama 4 Scout
Average Score:69.2%(+8.7%)
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Knowledge Cutoff
Training data recency comparison
GPT-4.1 nano
2024-05-31
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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GPT-4.1 nano
1 providers
OpenAI
Throughput: 200 tok/s
Latency: 2ms
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Llama 4 Scout
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GPT-4.1 nano
Avg Score:60.5%
Providers:1
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Llama 4 Scout
Avg Score:69.2%(+8.7%)
Providers:6