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DeepSeek-R1-0528 vs GLM-4.5V
Comprehensive side-by-side LLM comparison
DeepSeek-R1-0528 offers 65.5K 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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DeepSeek
DeepSeek-R1-0528 is a language model developed by DeepSeek. It achieves strong performance with an average score of 60.1% across 16 benchmarks. It excels particularly in MMLU-Redux (93.4%), SimpleQA (92.3%), AIME 2024 (91.4%). 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 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.
2 months newer
DeepSeek-R1-0528
DeepSeek
2025-05-28
GLM-4.5V
Zhipu AI
2025-08-11
Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-R1-0528
Input:$0.50
Output:$2.15($0.15 cheaper)
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GLM-4.5V
Input:$0.60
Output:$2.20
Performance Metrics
Context window and performance specifications
Average performance across 16 common benchmarks
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DeepSeek-R1-0528
Average Score:60.1%(+60.1%)
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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-R1-0528
3 providers
DeepInfra
Throughput: 45.04 tok/s
Latency: 0.61ms
DeepSeek
Throughput: 9 tok/s
Latency: 0.3ms
Novita
Throughput: 37.96 tok/s
Latency: 1.18ms
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DeepSeek-R1-0528
Avg Score:60.1%(+60.1%)
Providers:3
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GLM-4.5V
Avg Score:0.0%
Providers:2