Comprehensive side-by-side LLM comparison
Llama 3.1 405B Instruct leads with 7.2% higher average benchmark score. GPT-4.1 nano offers 824.3K more tokens in context window than Llama 3.1 405B Instruct. GPT-4.1 nano is $1.28 cheaper per million tokens. GPT-4.1 nano 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.
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.
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.
8 months newer

Llama 3.1 405B Instruct
Meta
2024-07-23

GPT-4.1 nano
OpenAI
2025-04-14
Cost per million tokens (USD)

GPT-4.1 nano

Llama 3.1 405B Instruct
Context window and performance specifications
Average performance across 3 common benchmarks

GPT-4.1 nano

Llama 3.1 405B Instruct
GPT-4.1 nano
2024-05-31
Available providers and their performance metrics

GPT-4.1 nano
OpenAI

Llama 3.1 405B Instruct

GPT-4.1 nano

Llama 3.1 405B Instruct

GPT-4.1 nano

Llama 3.1 405B Instruct
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