Model Comparison

Comprehensive side-by-side analysis of model capabilities and performance

Cohere

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.

Alibaba

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.

Cohere

Command R+

Cohere

2024-08-30

Alibaba

Qwen2.5 VL 72B Instruct

Alibaba

2025-01-26

4 months newer

Performance Metrics

Context window and performance specifications

Cohere

Command R+

Larger context
Max Context:256.0K
Parameters:104.0B
Alibaba

Qwen2.5 VL 72B Instruct

Max Context:-
Parameters:72.0B

Performance comparison across key benchmark categories

Cohere

Command R+

general
+6.1%
75.7%
math
+14.3%
70.7%
Alibaba

Qwen2.5 VL 72B Instruct

general
69.6%
math
56.5%

Provider Availability & Performance

Available providers and their performance metrics

Cohere

Command R+

2 providers

Cohere

Throughput: 59 tok/s
Latency: 0.65ms

Bedrock

Throughput: 100 tok/s
Latency: 0.5ms
Alibaba

Qwen2.5 VL 72B Instruct

0 providers
Cohere

Command R+

Avg Score:0.0%
Providers:2
Alibaba

Qwen2.5 VL 72B Instruct

Avg Score:0.0%
Providers:0