Comprehensive side-by-side LLM comparison
Llama 3.2 90B Instruct leads with 26.6% higher average benchmark score. Both models have similar pricing. 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.
Cohere
Command R+ is a language model developed by Cohere. It achieves strong performance with an average score of 74.6% across 6 benchmarks. It excels particularly in HellaSwag (88.6%), Winogrande (85.4%), MMLU (75.7%). It supports a 256K token context window for handling large documents. The model is available through 2 API providers. Released in 2024, it represents Cohere'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.
26 days newer
Command R+
Cohere
2024-08-30
Llama 3.2 90B Instruct
Meta
2024-09-25
Cost per million tokens (USD)
Command R+
Llama 3.2 90B Instruct
Context window and performance specifications
Average performance across 18 common benchmarks
Command R+
Llama 3.2 90B Instruct
Available providers and their performance metrics
Command R+
Bedrock
Cohere
Command R+
Llama 3.2 90B Instruct
Command R+
Llama 3.2 90B Instruct
Llama 3.2 90B Instruct
Bedrock
DeepInfra
Fireworks
Hyperbolic
Together