Comprehensive side-by-side LLM comparison
DeepSeek VL2 leads with 3.5% higher average benchmark score. GLM-4.5 offers 3.6K more tokens in context window than DeepSeek VL2. GLM-4.5 is $4807.50 cheaper per million tokens. DeepSeek VL2 supports multimodal inputs. GLM-4.5 is available on 3 providers. Both models have their strengths depending on your specific coding needs.
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.
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
DeepSeek
2024-12-13
GLM-4.5
Zhipu AI
2025-07-28
Cost per million tokens (USD)
DeepSeek VL2
GLM-4.5
Context window and performance specifications
Average performance across 28 common benchmarks
DeepSeek VL2
GLM-4.5
Available providers and their performance metrics
DeepSeek VL2
Replicate
GLM-4.5
DeepSeek VL2
GLM-4.5
DeepSeek VL2
GLM-4.5
DeepInfra
Novita
ZeroEval