Comprehensive side-by-side LLM comparison
Pixtral Large leads with 9.6% higher average benchmark score. Pixtral Large offers 59.4K more tokens in context window than GLM-4.6. GLM-4.6 is $5.40 cheaper per million tokens. Overall, Pixtral Large is the stronger choice for coding tasks.
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
Pixtral Large is a multimodal language model developed by Mistral AI. This model demonstrates exceptional performance with an average score of 80.5% across 7 benchmarks. It excels particularly in AI2D (93.8%), DocVQA (93.3%), ChartQA (88.1%). It supports a 256K 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 Mistral AI's latest advancement in AI technology.
10 months newer
Pixtral Large
Mistral AI
2024-11-18
GLM-4.6
Zhipu AI
2025-09-30
Cost per million tokens (USD)
GLM-4.6
Pixtral Large
Context window and performance specifications
Average performance across 14 common benchmarks
GLM-4.6
Pixtral Large
Available providers and their performance metrics
GLM-4.6
DeepInfra
ZeroEval
Pixtral Large
GLM-4.6
Pixtral Large
GLM-4.6
Pixtral Large
Mistral AI