Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. Mistral Large 2 offers 59.4K more tokens in context window than GLM-4.6. GLM-4.6 is $5.40 cheaper per million tokens. GLM-4.6 supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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.
Mistral AI
Mistral Large 2 is a language model developed by Mistral AI. This model demonstrates exceptional performance with an average score of 87.6% across 5 benchmarks. It excels particularly in GSM8k (93.0%), HumanEval (92.0%), MT-Bench (86.3%). It supports a 256K token context window for handling large documents. The model is available through 2 API providers. Released in 2024, it represents Mistral AI's latest advancement in AI technology.
1 year newer
Mistral Large 2
Mistral AI
2024-07-24
GLM-4.6
Zhipu AI
2025-09-30
Cost per million tokens (USD)
GLM-4.6
Mistral Large 2
Context window and performance specifications
Average performance across 12 common benchmarks
GLM-4.6
Mistral Large 2
Available providers and their performance metrics
GLM-4.6
DeepInfra
ZeroEval
Mistral Large 2
GLM-4.6
Mistral Large 2
GLM-4.6
Mistral Large 2
Mistral AI