Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance
GLM-4.5
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 1 API provider. 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.

Pixtral-12B
Mistral AI
Pixtral-12B is a multimodal language model developed by Mistral AI. It achieves strong performance with an average score of 66.8% across 12 benchmarks. It excels particularly in DocVQA (90.7%), ChartQA (81.8%), VQAv2 (78.6%). The model shows particular specialization in general tasks with an average performance of 75.5%. It supports a 136K 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. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Mistral AI's latest advancement in AI technology.

Pixtral-12B
Mistral AI
2024-09-17
GLM-4.5
Zhipu AI
2025-07-28
10 months newer
Pricing Comparison
Cost per million tokens (USD)
GLM-4.5

Pixtral-12B
Performance Metrics
Context window and performance specifications
GLM-4.5

Pixtral-12B
Performance comparison across key benchmark categories
GLM-4.5

Pixtral-12B
Provider Availability & Performance
Available providers and their performance metrics
GLM-4.5
DeepInfra

Pixtral-12B
Mistral AI
GLM-4.5

Pixtral-12B