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 32B Instruct
Alibaba
Qwen2.5 VL 32B Instruct is a multimodal language model developed by Alibaba. It achieves strong performance with an average score of 63.6% across 28 benchmarks. It excels particularly in DocVQA (94.8%), Android Control Low_EM (93.3%), HumanEval (91.5%). The model shows particular specialization in code tasks with an average performance of 87.8%. 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 VL 32B Instruct
Alibaba
2025-02-28
6 months newer
Performance Metrics
Context window and performance specifications

Command R+

Qwen2.5 VL 32B Instruct
Average performance across 1 common benchmarks

Command R+

Qwen2.5 VL 32B Instruct
Performance comparison across key benchmark categories

Command R+

Qwen2.5 VL 32B Instruct
Provider Availability & Performance
Available providers and their performance metrics

Command R+
Cohere
Bedrock

Qwen2.5 VL 32B Instruct

Command R+

Qwen2.5 VL 32B Instruct