Comprehensive side-by-side LLM comparison
GLM-4.5 leads with 15.8% higher average benchmark score. GLM-4.5 offers 6.1K more tokens in context window than Pixtral Large. GLM-4.5 is $6.00 cheaper per million tokens. Pixtral Large supports multimodal inputs. GLM-4.5 is available on 3 providers. Overall, GLM-4.5 is the stronger choice for coding tasks.
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.
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.
8 months newer
Pixtral Large
Mistral AI
2024-11-18
GLM-4.5
Zhipu AI
2025-07-28
Cost per million tokens (USD)
GLM-4.5
Pixtral Large
Context window and performance specifications
Average performance across 21 common benchmarks
GLM-4.5
Pixtral Large
Available providers and their performance metrics
GLM-4.5
DeepInfra
Novita
ZeroEval
Pixtral Large
GLM-4.5
Pixtral Large
GLM-4.5
Pixtral Large
Mistral AI