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Command R+ vs GLM-4.5
Comprehensive side-by-side LLM comparison
GLM-4.5 leads with 22.4% higher average benchmark score. GLM-4.5 offers 6.1K more tokens in context window than Command R+. Command R+ is $0.75 cheaper per million tokens. Overall, GLM-4.5 is the stronger choice for coding tasks.
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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-4.5 is a language model developed by Zhipu AI. It achieves strong performance with an average score of 64.0% across 14 benchmarks. It excels particularly in MATH-500 (98.2%), AIME 2024 (91.0%), MMLU-Pro (84.6%). It supports a 262K token context window for handling large documents. The model is available through 3 API providers. 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-4.5
Zhipu AI
2025-07-28
Pricing Comparison
Cost per million tokens (USD)
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Command R+
Input:$0.25
Output:$1.00($0.75 cheaper)
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GLM-4.5
Input:$0.40
Output:$1.60
Performance Metrics
Context window and performance specifications
Average performance across 20 common benchmarks
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Command R+
Average Score:22.4%
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GLM-4.5
Average Score:44.8%(+22.4%)
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-4.5
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Command R+
Avg Score:22.4%
Providers:2
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GLM-4.5
Avg Score:44.8%(+22.4%)
Providers:3