Comprehensive side-by-side LLM comparison
GPT-4.1 leads with 20.7% higher average benchmark score. GPT-4.1 offers 824.3K more tokens in context window than Llama 3.2 3B Instruct. Llama 3.2 3B Instruct is $9.97 cheaper per million tokens. GPT-4.1 supports multimodal inputs. 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 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
OpenAI
2025-04-14
Cost per million tokens (USD)
GPT-4.1
Llama 3.2 3B Instruct
Context window and performance specifications
Average performance across 42 common benchmarks
GPT-4.1
Llama 3.2 3B Instruct
GPT-4.1
2024-06-01
Available providers and their performance metrics
GPT-4.1
OpenAI
Llama 3.2 3B Instruct
GPT-4.1
Llama 3.2 3B Instruct
GPT-4.1
Llama 3.2 3B Instruct
DeepInfra