Comprehensive side-by-side LLM comparison
Ministral 8B Instruct leads with 14.9% higher average benchmark score. Ministral 8B Instruct offers 59.4K more tokens in context window than GLM-4.6. Ministral 8B Instruct is $2.40 cheaper per million tokens. GLM-4.6 supports multimodal inputs. Overall, Ministral 8B Instruct 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
Ministral 8B Instruct is a language model developed by Mistral AI. It achieves strong performance with an average score of 63.3% across 11 benchmarks. It excels particularly in MT-Bench (83.0%), Winogrande (75.3%), ARC-C (71.9%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. Released in 2024, it represents Mistral AI's latest advancement in AI technology.
11 months newer
Ministral 8B Instruct
Mistral AI
2024-10-16
GLM-4.6
Zhipu AI
2025-09-30
Cost per million tokens (USD)
GLM-4.6
Ministral 8B Instruct
Context window and performance specifications
Average performance across 18 common benchmarks
GLM-4.6
Ministral 8B Instruct
Available providers and their performance metrics
GLM-4.6
DeepInfra
ZeroEval
Ministral 8B Instruct
GLM-4.6
Ministral 8B Instruct
GLM-4.6
Ministral 8B Instruct
Mistral AI