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Command R+ vs GLM-4.5V
Comprehensive side-by-side LLM comparison
Command R+ offers 59.4K more tokens in context window than GLM-4.5V. Command R+ is $1.55 cheaper per million tokens. GLM-4.5V supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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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%). 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.
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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.
11 months newer
Command R+
Cohere
2024-08-30
GLM-4.5V
Zhipu AI
2025-08-11
Pricing Comparison
Cost per million tokens (USD)
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Command R+
Input:$0.25
Output:$1.00($1.55 cheaper)
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GLM-4.5V
Input:$0.60
Output:$2.20
Performance Metrics
Context window and performance specifications
Average performance across 6 common benchmarks
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Command R+
Average Score:74.6%(+74.6%)
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GLM-4.5V
Average Score:0.0%
Provider Availability & Performance
Available providers and their performance metrics
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Command R+
2 providers
Bedrock
Throughput: 100 tok/s
Latency: 0.5ms
Cohere
Throughput: 59 tok/s
Latency: 0.65ms
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GLM-4.5V
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Command R+
Avg Score:74.6%(+74.6%)
Providers:2
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GLM-4.5V
Avg Score:0.0%
Providers:2