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DeepSeek VL2 vs GLM-4.5V
Comprehensive side-by-side LLM comparison
DeepSeek VL2 offers 62.0K more tokens in context window than GLM-4.5V. GLM-4.5V is $4806.70 cheaper per million tokens. Both models have their strengths depending on your specific coding needs.
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DeepSeek
DeepSeek VL2 is a multimodal language model developed by DeepSeek. It achieves strong performance with an average score of 70.9% across 14 benchmarks. It excels particularly in DocVQA (93.3%), ChartQA (86.0%), TextVQA (84.2%). It supports a 259K token context window for handling large documents. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents DeepSeek'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.
8 months newer
DeepSeek VL2
DeepSeek
2024-12-13
GLM-4.5V
Zhipu AI
2025-08-11
Pricing Comparison
Cost per million tokens (USD)
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DeepSeek VL2
Input:$9.50
Output:$4800.00
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GLM-4.5V
Input:$0.60
Output:$2.20($4806.70 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 14 common benchmarks
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DeepSeek VL2
Average Score:70.9%(+70.9%)
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GLM-4.5V
Average Score:0.0%
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek VL2
1 providers
Replicate
Throughput: 22 tok/s
Latency: 0.5ms
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GLM-4.5V
2 providers
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DeepSeek VL2
Avg Score:70.9%(+70.9%)
Providers:1
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GLM-4.5V
Avg Score:0.0%
Providers:2