Comprehensive side-by-side LLM comparison
Llama 3.1 405B Instruct leads with 51.2% higher average benchmark score. GPT-5 mini offers 272.0K more tokens in context window than Llama 3.1 405B Instruct. Both models have similar pricing. GPT-5 mini 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 mini is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 60.0% across 5 benchmarks. It excels particularly in AIME 2025 (91.1%), HMMT 2025 (87.8%), GPQA (82.3%). 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 mini
OpenAI
2025-08-07
Cost per million tokens (USD)
GPT-5 mini
Llama 3.1 405B Instruct
Context window and performance specifications
Average performance across 22 common benchmarks
GPT-5 mini
Llama 3.1 405B Instruct
GPT-5 mini
2024-05-30
Available providers and their performance metrics
GPT-5 mini
OpenAI
ZeroEval
GPT-5 mini
Llama 3.1 405B Instruct
GPT-5 mini
Llama 3.1 405B Instruct
Llama 3.1 405B Instruct
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