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 VL 72B Instruct
Alibaba
Qwen2.5 VL 72B Instruct is a multimodal language model developed by Alibaba. It achieves strong performance with an average score of 66.9% across 30 benchmarks. It excels particularly in DocVQA (96.4%), Android Control Low_EM (93.7%), ChartQA (89.5%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Alibaba's latest advancement in AI technology.

Command R+
Cohere
2024-08-30

Qwen2.5 VL 72B Instruct
Alibaba
2025-01-26
4 months newer
Performance Metrics
Context window and performance specifications

Command R+

Qwen2.5 VL 72B Instruct
Performance comparison across key benchmark categories

Command R+

Qwen2.5 VL 72B Instruct
Provider Availability & Performance
Available providers and their performance metrics

Command R+
Cohere
Bedrock

Qwen2.5 VL 72B Instruct

Command R+

Qwen2.5 VL 72B Instruct