Comprehensive side-by-side LLM comparison
Llama 3.2 3B Instruct leads with 11.3% higher average benchmark score. Llama 3.2 3B Instruct offers 123.9K more tokens in context window than GPT-4o. Llama 3.2 3B Instruct is $12.47 cheaper per million tokens. GPT-4o supports multimodal inputs. Overall, Llama 3.2 3B Instruct is the stronger choice for coding tasks.
OpenAI
GPT-4o is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 77.4% across 8 benchmarks. It excels particularly in MGSM (90.5%), HumanEval (90.2%), MMLU (88.7%). It supports a 132K token context window for handling large documents. 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 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.
4 months newer
GPT-4o
OpenAI
2024-05-13
Llama 3.2 3B Instruct
Meta
2024-09-25
Cost per million tokens (USD)
GPT-4o
Llama 3.2 3B Instruct
Context window and performance specifications
Average performance across 19 common benchmarks
GPT-4o
Llama 3.2 3B Instruct
Available providers and their performance metrics
GPT-4o
Azure
OpenAI
GPT-4o
Llama 3.2 3B Instruct
GPT-4o
Llama 3.2 3B Instruct
Llama 3.2 3B Instruct
DeepInfra