Comprehensive side-by-side LLM comparison
GPT-4.1 leads with 6.2% higher average benchmark score. GPT-4.1 offers 824.3K more tokens in context window than Llama 3.1 405B Instruct. Llama 3.1 405B Instruct is $8.22 cheaper per million tokens. GPT-4.1 supports multimodal inputs. Llama 3.1 405B Instruct is available on 8 providers. Overall, GPT-4.1 is the stronger choice for coding tasks.
OpenAI
GPT-4.1 is a multimodal language model developed by OpenAI. The model shows competitive results across 30 benchmarks. It excels particularly in MMLU (90.2%), CharXiv-D (87.9%), IFEval (87.4%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 1 API provider. 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.
8 months newer
Llama 3.1 405B Instruct
Meta
2024-07-23
GPT-4.1
OpenAI
2025-04-14
Cost per million tokens (USD)
GPT-4.1
Llama 3.1 405B Instruct
Context window and performance specifications
Average performance across 45 common benchmarks
GPT-4.1
Llama 3.1 405B Instruct
GPT-4.1
2024-06-01
Available providers and their performance metrics
GPT-4.1
OpenAI
Llama 3.1 405B Instruct
GPT-4.1
Llama 3.1 405B Instruct
GPT-4.1
Llama 3.1 405B Instruct
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