Comprehensive side-by-side LLM comparison
Llama 3.2 90B Instruct leads with 30.5% higher average benchmark score. Llama 3.2 90B Instruct offers 123.9K more tokens in context window than GPT-4 Turbo. Llama 3.2 90B Instruct is $39.25 cheaper per million tokens. Llama 3.2 90B Instruct supports multimodal inputs. Llama 3.2 90B Instruct is available on 5 providers. Overall, Llama 3.2 90B Instruct is the stronger choice for coding tasks.
OpenAI
GPT-4 Turbo is a language model developed by OpenAI. It achieves strong performance with an average score of 78.1% across 6 benchmarks. It excels particularly in MGSM (88.5%), HumanEval (87.1%), MMLU (86.5%). It supports a 132K token context window for handling large documents. The model is available through 2 API providers. Released in 2024, 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.
5 months newer
GPT-4 Turbo
OpenAI
2024-04-09
Llama 3.2 90B Instruct
Meta
2024-09-25
Cost per million tokens (USD)
GPT-4 Turbo
Llama 3.2 90B Instruct
Context window and performance specifications
Average performance across 15 common benchmarks
GPT-4 Turbo
Llama 3.2 90B Instruct
GPT-4 Turbo
2023-12-31
Available providers and their performance metrics
GPT-4 Turbo
Azure
OpenAI
GPT-4 Turbo
Llama 3.2 90B Instruct
GPT-4 Turbo
Llama 3.2 90B Instruct
Llama 3.2 90B Instruct
Bedrock
DeepInfra
Fireworks
Hyperbolic
Together