Comprehensive side-by-side LLM comparison
GPT-4.1 mini leads with 14.8% higher average benchmark score. GPT-4.1 mini offers 824.3K more tokens in context window than Llama 3.2 3B Instruct. Llama 3.2 3B Instruct is $1.97 cheaper per million tokens. GPT-4.1 mini supports multimodal inputs. 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 3B Instruct is a language model developed by Meta. The model shows competitive results across 15 benchmarks. It excels particularly in NIH/Multi-needle (84.7%), ARC-C (78.6%), GSM8k (77.7%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. Released in 2024, it represents Meta's latest advancement in AI technology.
6 months newer
Llama 3.2 3B 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 3B Instruct
Context window and performance specifications
Average performance across 41 common benchmarks
GPT-4.1 mini
Llama 3.2 3B 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 3B Instruct
GPT-4.1 mini
Llama 3.2 3B Instruct
Llama 3.2 3B Instruct
DeepInfra