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.

GLM-4.5V

Zhipu AI

GLM-4.5V is a multimodal language model developed by Zhipu AI. It supports a 197K token context window for handling large documents. The model is available through 2 API providers. 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 Zhipu AI's latest advancement in AI technology.

Cohere

Command R+

Cohere

2024-08-30

GLM-4.5V

Zhipu AI

2025-08-11

11 months newer

Pricing Comparison

Cost per million tokens (USD)

Cohere

Command R+

$1.55 cheaper
Input:$0.25
Output:$1.00

GLM-4.5V

Input:$0.60
Output:$2.20

Performance Metrics

Context window and performance specifications

Cohere

Command R+

Larger context
Max Context:256.0K
Parameters:104.0B

GLM-4.5V

Max Context:196.6K
Parameters:108.0B

Average performance across 6 common benchmarks

Cohere

Command R+

+74.6%
Average Score:74.6%

GLM-4.5V

Average Score:0.0%

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

GLM-4.5V

2 providers

Novita

ZeroEval

Throughput: 85 tok/s
Latency: 0.7ms
Cohere

Command R+

+74.6%
Avg Score:74.6%
Providers:2

GLM-4.5V

Avg Score:0.0%
Providers:2