Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance

Command R+
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%). The model shows particular specialization in reasoning tasks with an average performance of 81.7%. 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.

Llama 3.2 90B Instruct
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.

Command R+
Cohere
2024-08-30

Llama 3.2 90B Instruct
Meta
2024-09-25
26 days newer
Pricing Comparison
Cost per million tokens (USD)

Command R+

Llama 3.2 90B Instruct
Performance Metrics
Context window and performance specifications

Command R+

Llama 3.2 90B Instruct
Average performance across 1 common benchmarks

Command R+

Llama 3.2 90B Instruct
Performance comparison across key benchmark categories

Command R+

Llama 3.2 90B Instruct
Provider Availability & Performance
Available providers and their performance metrics

Command R+
Cohere
Bedrock

Llama 3.2 90B Instruct
Together
Hyperbolic
DeepInfra
Fireworks
Bedrock

Command R+

Llama 3.2 90B Instruct