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.
Qwen2.5-Omni-7B
Alibaba
Qwen2.5-Omni-7B is a multimodal language model developed by Alibaba. The model shows competitive results across 45 benchmarks. It excels particularly in DocVQA (95.2%), VocalSound (93.9%), GSM8k (88.7%). The model shows particular specialization in code tasks with an average performance of 76.0%. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba's latest advancement in AI technology.
Command R+
Cohere
2024-08-30
Qwen2.5-Omni-7B
Alibaba
2025-03-27
6 months newer
Performance Metrics
Context window and performance specifications
Command R+
Qwen2.5-Omni-7B
Average performance across 1 common benchmarks
Command R+
Qwen2.5-Omni-7B
Performance comparison across key benchmark categories
Command R+
Qwen2.5-Omni-7B
Provider Availability & Performance
Available providers and their performance metrics
Command R+
Cohere
Bedrock
Qwen2.5-Omni-7B
Command R+
Qwen2.5-Omni-7B