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.
Jamba 1.5 Large
AI21 Labs
Jamba 1.5 Large is a language model developed by AI21 Labs. It achieves strong performance with an average score of 65.5% across 8 benchmarks. It excels particularly in ARC-C (93.0%), GSM8k (87.0%), MMLU (81.2%). It supports a 512K token context window for handling large documents. The model is available through 2 API providers. Released in 2024, it represents AI21 Labs's latest advancement in AI technology.
Jamba 1.5 Large
AI21 Labs
2024-08-22
Command R+
Cohere
2024-08-30
8 days newer
Pricing Comparison
Cost per million tokens (USD)
Command R+
Jamba 1.5 Large
Performance Metrics
Context window and performance specifications
Command R+
Jamba 1.5 Large
Average performance across 4 common benchmarks
Command R+
Jamba 1.5 Large
Performance comparison across key benchmark categories
Command R+
Jamba 1.5 Large
Jamba 1.5 Large
2024-03-05
Provider Availability & Performance
Available providers and their performance metrics
Command R+
Cohere
Bedrock
Jamba 1.5 Large
Bedrock
Command R+
Jamba 1.5 Large