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DeepSeek VL2 Tiny vs GLM-4.5
Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. DeepSeek VL2 Tiny supports multimodal inputs. GLM-4.5 is available on 3 providers. Both models have their strengths depending on your specific coding needs.
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DeepSeek
DeepSeek VL2 Tiny is a multimodal language model developed by DeepSeek. It achieves strong performance with an average score of 63.1% across 14 benchmarks. It excels particularly in DocVQA (88.9%), ChartQA (81.0%), OCRBench (80.9%). 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-4.5 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.
7 months newer
DeepSeek VL2 Tiny
DeepSeek
2024-12-13
GLM-4.5
Zhipu AI
2025-07-28
Performance Metrics
Context window and performance specifications
Average performance across 28 common benchmarks
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DeepSeek VL2 Tiny
Average Score:31.6%
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GLM-4.5
Average Score:32.0%(+0.4%)
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek VL2 Tiny
0 providers
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GLM-4.5
3 providers
DeepInfra
Novita
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DeepSeek VL2 Tiny
Avg Score:31.6%
Providers:0
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GLM-4.5
Avg Score:32.0%(+0.4%)
Providers:3