Comprehensive side-by-side LLM comparison
GLM-4.5 leads with 34.2% higher average benchmark score. GLM-4.5 offers 6.1K more tokens in context window than Mistral Small 3.1 24B Base. Mistral Small 3.1 24B Base is $1.60 cheaper per million tokens. Mistral Small 3.1 24B Base 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
Mistral Small 3.1 24B Base is a multimodal language model developed by Mistral AI. It achieves strong performance with an average score of 62.9% across 5 benchmarks. It excels particularly in MMLU (81.0%), TriviaQA (80.5%), MMMU (59.3%). 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. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Mistral AI's latest advancement in AI technology.
4 months newer
Mistral Small 3.1 24B Base
Mistral AI
2025-03-17
GLM-4.5
Zhipu AI
2025-07-28
Cost per million tokens (USD)
GLM-4.5
Mistral Small 3.1 24B Base
Context window and performance specifications
Average performance across 17 common benchmarks
GLM-4.5
Mistral Small 3.1 24B Base
Available providers and their performance metrics
GLM-4.5
DeepInfra
Novita
ZeroEval
Mistral Small 3.1 24B Base
GLM-4.5
Mistral Small 3.1 24B Base
GLM-4.5
Mistral Small 3.1 24B Base
Mistral AI