Comprehensive side-by-side LLM comparison
DeepSeek-R1-0528 leads with 29.6% higher average benchmark score. DeepSeek-R1-0528 offers 65.5K more tokens in context window than GLM-4.6. Both models have similar pricing. GLM-4.6 supports multimodal inputs. Overall, DeepSeek-R1-0528 is the stronger choice for coding tasks.
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.
Zhipu AI
GLM-4.6 is a multimodal language model developed by Zhipu AI. It achieves strong performance with an average score of 61.2% across 7 benchmarks. It excels particularly in AIME 2025 (93.9%), LiveCodeBench v6 (82.8%), GPQA (81.0%). 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.
4 months newer
DeepSeek-R1-0528
DeepSeek
2025-05-28
GLM-4.6
Zhipu AI
2025-09-30
Cost per million tokens (USD)
DeepSeek-R1-0528
GLM-4.6
Context window and performance specifications
Average performance across 17 common benchmarks
DeepSeek-R1-0528
GLM-4.6
Available providers and their performance metrics
DeepSeek-R1-0528
DeepInfra
DeepSeek
Novita
DeepSeek-R1-0528
GLM-4.6
DeepSeek-R1-0528
GLM-4.6
GLM-4.6
DeepInfra
ZeroEval