Comprehensive side-by-side LLM comparison
DeepSeek-V3.1 leads with 26.6% higher average benchmark score. DeepSeek-V3.1 offers 131.1K more tokens in context window than GLM-4.6. DeepSeek-V3.1 is $1.33 cheaper per million tokens. GLM-4.6 supports multimodal inputs. Overall, DeepSeek-V3.1 is the stronger choice for coding tasks.
DeepSeek
DeepSeek-V3.1 is a language model developed by DeepSeek. The model shows competitive results across 16 benchmarks. It excels particularly in SimpleQA (93.4%), MMLU-Redux (91.8%), MMLU-Pro (83.7%). It supports a 328K token context window for handling large documents. The model is available through 2 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.
8 months newer
DeepSeek-V3.1
DeepSeek
2025-01-10
GLM-4.6
Zhipu AI
2025-09-30
Cost per million tokens (USD)
DeepSeek-V3.1
GLM-4.6
Context window and performance specifications
Average performance across 17 common benchmarks
DeepSeek-V3.1
GLM-4.6
Available providers and their performance metrics
DeepSeek-V3.1
DeepInfra
Novita
GLM-4.6
DeepSeek-V3.1
GLM-4.6
DeepSeek-V3.1
GLM-4.6
DeepInfra
ZeroEval