Comprehensive side-by-side LLM comparison
Llama 4 Maverick leads with 27.0% higher average benchmark score. Llama 4 Maverick offers 1.7M more tokens in context window than Command R+. Both models have similar pricing. Llama 4 Maverick supports multimodal inputs. Llama 4 Maverick is available on 7 providers. Overall, Llama 4 Maverick 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 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%). 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.
7 months newer
Command R+
Cohere
2024-08-30
Llama 4 Maverick
Meta
2025-04-05
Cost per million tokens (USD)
Command R+
Llama 4 Maverick
Context window and performance specifications
Average performance across 18 common benchmarks
Command R+
Llama 4 Maverick
Available providers and their performance metrics
Command R+
Bedrock
Cohere
Command R+
Llama 4 Maverick
Command R+
Llama 4 Maverick
Llama 4 Maverick
DeepInfra
Fireworks
Groq
Lambda
Novita
Sambanova
Together