Comprehensive side-by-side LLM comparison
Llama 3.1 405B Instruct leads with 53.4% 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, Llama 3.1 405B Instruct is the stronger choice for coding tasks.
OpenAI
GPT-5 nano is a multimodal language model developed by OpenAI. The model shows competitive results across 5 benchmarks. It excels particularly in AIME 2025 (85.2%), HMMT 2025 (75.6%), GPQA (71.2%). It supports a 528K token context window for handling large documents. The model is available through 2 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents OpenAI's latest advancement in AI technology.
Meta
Llama 3.1 405B Instruct is a language model developed by Meta. It achieves strong performance with an average score of 79.2% across 18 benchmarks. It excels particularly in ARC-C (96.9%), GSM8k (96.8%), API-Bank (92.0%). It supports a 256K token context window for handling large documents. The model is available through 8 API providers. Released in 2024, it represents Meta's latest advancement in AI technology.
1 year newer
Llama 3.1 405B Instruct
Meta
2024-07-23
GPT-5 nano
OpenAI
2025-08-07
Cost per million tokens (USD)
GPT-5 nano
Llama 3.1 405B Instruct
Context window and performance specifications
Average performance across 22 common benchmarks
GPT-5 nano
Llama 3.1 405B Instruct
GPT-5 nano
2024-05-30
Available providers and their performance metrics
GPT-5 nano
OpenAI
ZeroEval
GPT-5 nano
Llama 3.1 405B Instruct
GPT-5 nano
Llama 3.1 405B Instruct
Llama 3.1 405B Instruct
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