Comprehensive side-by-side LLM comparison
Llama 3.2 3B Instruct leads with 13.1% higher average benchmark score. Llama 3.2 3B Instruct offers 111.6K more tokens in context window than GPT-4o mini. Llama 3.2 3B Instruct is $0.72 cheaper per million tokens. GPT-4o mini supports multimodal inputs. Overall, Llama 3.2 3B Instruct is the stronger choice for coding tasks.
OpenAI
GPT-4o mini is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 63.5% across 9 benchmarks. It excels particularly in HumanEval (87.2%), MGSM (87.0%), MMLU (82.0%). It supports a 144K token context window for handling large documents. 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 2024, 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.
2 months newer
GPT-4o mini
OpenAI
2024-07-18
Llama 3.2 3B Instruct
Meta
2024-09-25
Cost per million tokens (USD)
GPT-4o mini
Llama 3.2 3B Instruct
Context window and performance specifications
Average performance across 20 common benchmarks
GPT-4o mini
Llama 3.2 3B Instruct
GPT-4o mini
2023-10-01
Available providers and their performance metrics
GPT-4o mini
Azure
Llama 3.2 3B Instruct
GPT-4o mini
Llama 3.2 3B Instruct
GPT-4o mini
Llama 3.2 3B Instruct
DeepInfra