+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
Command R+ vs DeepSeek-R1
Comprehensive side-by-side LLM comparison
DeepSeek-R1 offers 6.1K more tokens in context window than Command R+. Command R+ is $1.49 cheaper per million tokens. DeepSeek-R1 is available on 5 providers. Both models have their strengths depending on your specific coding needs.
+
+
+
+
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.
+
+
+
+
DeepSeek
DeepSeek-R1 is a language model developed by DeepSeek. It supports a 262K token context window for handling large documents. The model is available through 5 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.
4 months newer
Command R+
Cohere
2024-08-30
DeepSeek-R1
DeepSeek
2025-01-20
Pricing Comparison
Cost per million tokens (USD)
+
+
+
+
Command R+
Input:$0.25
Output:$1.00($1.49 cheaper)
+
+
+
+
DeepSeek-R1
Input:$0.55
Output:$2.19
Performance Metrics
Context window and performance specifications
Average performance across 6 common benchmarks
+
+
+
+
Command R+
Average Score:74.6%(+74.6%)
+
+
+
+
DeepSeek-R1
Average Score:0.0%
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
Command R+
2 providers
Bedrock
Throughput: 100 tok/s
Latency: 0.5ms
Cohere
Throughput: 59 tok/s
Latency: 0.65ms
+
+
+
+
+
+
+
+
Command R+
Avg Score:74.6%(+74.6%)
Providers:2
+
+
+
+
DeepSeek-R1
Avg Score:0.0%
Providers:5