Comprehensive side-by-side LLM comparison
GPT-4.1 leads with 19.9% higher average benchmark score. GPT-4.1 offers 824.3K more tokens in context window than Llama 3.2 90B Instruct. Llama 3.2 90B Instruct is $9.25 cheaper per million tokens. Llama 3.2 90B Instruct is available on 5 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 3.2 90B Instruct is a multimodal language model developed by Meta. It achieves strong performance with an average score of 71.3% across 13 benchmarks. It excels particularly in AI2D (92.3%), DocVQA (90.1%), MGSM (86.9%). It supports a 256K token context window for handling large documents. The model is available through 5 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Meta's latest advancement in AI technology.
6 months newer
Llama 3.2 90B Instruct
Meta
2024-09-25
GPT-4.1
OpenAI
2025-04-14
Cost per million tokens (USD)
GPT-4.1
Llama 3.2 90B Instruct
Context window and performance specifications
Average performance across 39 common benchmarks
GPT-4.1
Llama 3.2 90B Instruct
GPT-4.1
2024-06-01
Available providers and their performance metrics
GPT-4.1
OpenAI
Llama 3.2 90B Instruct
GPT-4.1
Llama 3.2 90B Instruct
GPT-4.1
Llama 3.2 90B Instruct
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