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.

Mistral NeMo Instruct
Mistral AI
Mistral NeMo Instruct is a language model developed by Mistral AI. It achieves strong performance with an average score of 64.3% across 8 benchmarks. It excels particularly in HellaSwag (83.5%), Winogrande (76.8%), TriviaQA (73.8%). The model shows particular specialization in reasoning tasks with an average performance of 80.2%. It supports a 256K 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 2024, it represents Mistral AI's latest advancement in AI technology.

Mistral NeMo Instruct
Mistral AI
2024-07-18
GLM-4.5
Zhipu AI
2025-07-28
1 year newer
Pricing Comparison
Cost per million tokens (USD)
GLM-4.5

Mistral NeMo Instruct
Performance Metrics
Context window and performance specifications
GLM-4.5

Mistral NeMo Instruct
Performance comparison across key benchmark categories
GLM-4.5

Mistral NeMo Instruct
Provider Availability & Performance
Available providers and their performance metrics
GLM-4.5
DeepInfra

Mistral NeMo Instruct
Mistral AI
GLM-4.5

Mistral NeMo Instruct