Comprehensive side-by-side LLM comparison
GPT-4.1 mini leads with 14.3% higher average benchmark score. GPT-4.1 mini offers 818.2K more tokens in context window than GLM-4.5. Both models have similar pricing. GPT-4.1 mini supports multimodal inputs. Overall, GPT-4.1 mini 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.
OpenAI
GPT-4.1 mini is a multimodal language model developed by OpenAI. The model shows competitive results across 29 benchmarks. It excels particularly in CharXiv-D (88.4%), MMLU (87.5%), IFEval (84.1%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 2 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents OpenAI's latest advancement in AI technology.
3 months newer
GPT-4.1 mini
OpenAI
2025-04-14
GLM-4.5
Zhipu AI
2025-07-28
Cost per million tokens (USD)
GLM-4.5
GPT-4.1 mini
Context window and performance specifications
Average performance across 38 common benchmarks
GLM-4.5
GPT-4.1 mini
GPT-4.1 mini
2024-05-31
Available providers and their performance metrics
GLM-4.5
DeepInfra
Novita
ZeroEval
GPT-4.1 mini
GLM-4.5
GPT-4.1 mini
GLM-4.5
GPT-4.1 mini
OpenAI
ZeroEval