Comprehensive side-by-side LLM comparison
GPT-4.1 mini leads with 13.5% higher average benchmark score. GPT-4.1 mini offers 824.3K more tokens in context window than Llama 3.2 90B Instruct. Llama 3.2 90B Instruct is $1.25 cheaper per million tokens. Llama 3.2 90B Instruct is available on 5 providers. Overall, GPT-4.1 mini is the stronger choice for coding tasks.
OpenAI
GPT-4.1 mini is a multimodal language model developed by OpenAI. The model shows competitive results across 29 benchmarks. It excels particularly in CharXiv-D (88.4%), MMLU (87.5%), IFEval (84.1%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. 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 3.2 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 mini
OpenAI
2025-04-14
Cost per million tokens (USD)
GPT-4.1 mini
Llama 3.2 90B Instruct
Context window and performance specifications
Average performance across 38 common benchmarks
GPT-4.1 mini
Llama 3.2 90B Instruct
GPT-4.1 mini
2024-05-31
Available providers and their performance metrics
GPT-4.1 mini
OpenAI
ZeroEval
GPT-4.1 mini
Llama 3.2 90B Instruct
GPT-4.1 mini
Llama 3.2 90B Instruct
Llama 3.2 90B Instruct
Bedrock
DeepInfra
Fireworks
Hyperbolic
Together