Comprehensive side-by-side LLM comparison
Mistral NeMo Instruct leads with 5.7% higher average benchmark score. Mistral NeMo Instruct offers 59.4K more tokens in context window than GLM-4.6. Mistral NeMo Instruct is $2.30 cheaper per million tokens. GLM-4.6 supports multimodal inputs. Overall, Mistral NeMo 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
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%). 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.
1 year newer
Mistral NeMo Instruct
Mistral AI
2024-07-18
GLM-4.6
Zhipu AI
2025-09-30
Cost per million tokens (USD)
GLM-4.6
Mistral NeMo Instruct
Context window and performance specifications
Average performance across 15 common benchmarks
GLM-4.6
Mistral NeMo Instruct
Available providers and their performance metrics
GLM-4.6
DeepInfra
ZeroEval
Mistral NeMo Instruct
GLM-4.6
Mistral NeMo Instruct
GLM-4.6
Mistral NeMo Instruct
Mistral AI