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GPT-5 nano vs Llama 3.1 405B Instruct
Comprehensive side-by-side LLM comparison
GPT-5 nano leads with 20.5% higher average benchmark score. GPT-5 nano offers 272.0K more tokens in context window than Llama 3.1 405B Instruct. GPT-5 nano is $1.33 cheaper per million tokens. GPT-5 nano supports multimodal inputs. Llama 3.1 405B Instruct is available on 8 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 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.
1 year newer
Llama 3.1 405B Instruct
Meta
2024-07-23
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($1.33 cheaper)
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Llama 3.1 405B Instruct
Input:$0.89
Output:$0.89
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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GPT-5 nano
Average Score:71.2%(+20.5%)
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Llama 3.1 405B Instruct
Average Score:50.7%
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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%(+20.5%)
Providers:2
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Llama 3.1 405B Instruct
Avg Score:50.7%
Providers:8