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GLM-4.5V vs Kimi K2 0905
Comprehensive side-by-side LLM comparison
Kimi K2 0905 offers 327.7K more tokens in context window than GLM-4.5V. Both models have similar pricing. GLM-4.5V supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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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.
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Moonshot AI
Kimi K2 0905 is a language model developed by Moonshot AI. This model demonstrates exceptional performance with an average score of 84.0% across 6 benchmarks. It excels particularly in HumanEval (94.5%), MMLU (90.2%), MATH (89.1%). It supports a 524K token context window for handling large documents. The model is available through 2 API providers. Released in 2025, it represents Moonshot AI's latest advancement in AI technology.
25 days newer
GLM-4.5V
Zhipu AI
2025-08-11
Kimi K2 0905
Moonshot AI
2025-09-05
Pricing Comparison
Cost per million tokens (USD)
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GLM-4.5V
Input:$0.60
Output:$2.20($0.30 cheaper)
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Kimi K2 0905
Input:$0.60
Output:$2.50
Performance Metrics
Context window and performance specifications
Average performance across 6 common benchmarks
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GLM-4.5V
Average Score:0.0%
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Kimi K2 0905
Average Score:84.0%(+84.0%)
Provider Availability & Performance
Available providers and their performance metrics
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GLM-4.5V
2 providers
Novita
ZeroEval
Throughput: 85 tok/s
Latency: 0.7ms
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Kimi K2 0905
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GLM-4.5V
Avg Score:0.0%
Providers:2
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Kimi K2 0905
Avg Score:84.0%(+84.0%)
Providers:2