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GPT-5 nano vs Llama 4 Scout
Comprehensive side-by-side LLM comparison
GPT-5 nano leads with 14.0% higher average benchmark score. Llama 4 Scout offers 19.5M more tokens in context window than GPT-5 nano. Both models have similar pricing. Llama 4 Scout is available on 6 providers. Overall, GPT-5 nano is the stronger choice for coding tasks.
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OpenAI
GPT-5 Nano was developed as the most compact variant in the GPT-5 family, designed for deployment in resource-constrained environments and edge computing scenarios. Built to bring next-generation AI capabilities to devices and applications where latency and efficiency are paramount, it distills GPT-5 innovations into a minimal footprint.
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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.
4 months newer
Llama 4 Scout
Meta
2025-04-05
GPT-5 nano
OpenAI
2025-08-07
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Pricing Comparison
Cost per million tokens (USD)
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GPT-5 nano
Input:$0.05
Output:$0.40
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Llama 4 Scout
Input:$0.08
Output:$0.30($0.07 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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GPT-5 nano
Average Score:71.2%(+14.0%)
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Llama 4 Scout
Average Score:57.2%
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Knowledge Cutoff
Training data recency comparison
GPT-5 nano
2024-05-30
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-5 nano
2 providers
OpenAI
Throughput: 500 tok/s
Latency: 0.3ms
ZeroEval
Throughput: 500 tok/s
Latency: 0.3ms
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GPT-5 nano
Avg Score:71.2%(+14.0%)
Providers:2
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Llama 4 Scout
Avg Score:57.2%
Providers:6