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 Mini
AI21 Labs
Jamba 1.5 Mini is a language model developed by AI21 Labs. The model shows competitive results across 8 benchmarks. It excels particularly in ARC-C (85.7%), GSM8k (75.8%), MMLU (69.7%). 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 Mini
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 Mini
Performance Metrics
Context window and performance specifications

Command R+
Jamba 1.5 Mini
Average performance across 4 common benchmarks

Command R+
Jamba 1.5 Mini
Performance comparison across key benchmark categories

Command R+
Jamba 1.5 Mini
Jamba 1.5 Mini
2024-03-05
Provider Availability & Performance
Available providers and their performance metrics

Command R+
Cohere
Bedrock
Jamba 1.5 Mini
Bedrock

Command R+
Jamba 1.5 Mini