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.

DeepSeek-V3.1
DeepSeek
DeepSeek-V3.1 is a language model developed by DeepSeek. The model shows competitive results across 16 benchmarks. It excels particularly in SimpleQA (93.4%), MMLU-Redux (91.8%), MMLU-Pro (83.7%). The model shows particular specialization in factuality tasks with an average performance of 92.6%. It supports a 328K token context window for handling large documents. The model is available through 2 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents DeepSeek's latest advancement in AI technology.

Command R+
Cohere
2024-08-30

DeepSeek-V3.1
DeepSeek
2025-01-10
4 months newer
Pricing Comparison
Cost per million tokens (USD)

Command R+

DeepSeek-V3.1
Performance Metrics
Context window and performance specifications

Command R+

DeepSeek-V3.1
Performance comparison across key benchmark categories

Command R+

DeepSeek-V3.1
Provider Availability & Performance
Available providers and their performance metrics

Command R+
Cohere
Bedrock

DeepSeek-V3.1
DeepInfra
Novita

Command R+

DeepSeek-V3.1