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-R1
DeepSeek
DeepSeek-R1 is a language model developed by DeepSeek. It achieves strong performance with an average score of 74.1% across 20 benchmarks. It excels particularly in MATH-500 (97.3%), MMLU-Redux (92.9%), CLUEWSC (92.8%). It supports a 262K token context window for handling large documents. The model is available through 4 API providers. Released in 2025, it represents DeepSeek's latest advancement in AI technology.
Command R+
Cohere
2024-08-30
DeepSeek-R1
DeepSeek
2025-01-20
4 months newer
Pricing Comparison
Cost per million tokens (USD)
Command R+
DeepSeek-R1
Performance Metrics
Context window and performance specifications
Command R+
DeepSeek-R1
Average performance across 1 common benchmarks
Command R+
DeepSeek-R1
Performance comparison across key benchmark categories
Command R+
DeepSeek-R1
Provider Availability & Performance
Available providers and their performance metrics
Command R+
Cohere
Bedrock
DeepSeek-R1
Together
DeepInfra
Fireworks
DeepSeek
Command R+
DeepSeek-R1