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 4 Maverick
Meta
Llama 4 Maverick is a multimodal language model developed by Meta. It achieves strong performance with an average score of 71.8% across 13 benchmarks. It excels particularly in DocVQA (94.4%), MGSM (92.3%), ChartQA (90.0%). The model shows particular specialization in vision tasks with an average performance of 75.8%. With a 2.0M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 7 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Meta's latest advancement in AI technology.

Command R+
Cohere
2024-08-30

Llama 4 Maverick
Meta
2025-04-05
7 months newer
Pricing Comparison
Cost per million tokens (USD)

Command R+

Llama 4 Maverick
Performance Metrics
Context window and performance specifications

Command R+

Llama 4 Maverick
Average performance across 1 common benchmarks

Command R+

Llama 4 Maverick
Performance comparison across key benchmark categories

Command R+

Llama 4 Maverick
Provider Availability & Performance
Available providers and their performance metrics

Command R+
Cohere
Bedrock

Llama 4 Maverick
Sambanova
Together
DeepInfra
Fireworks
Groq
Novita
Lambda

Command R+

Llama 4 Maverick