Comprehensive side-by-side LLM comparison
o4-mini leads with 1.6% higher average benchmark score. o4-mini offers 37.9K more tokens in context window than GLM-4.5. GLM-4.5 is $3.50 cheaper per million tokens. o4-mini supports multimodal inputs. GLM-4.5 is available on 3 providers. Both models have their strengths depending on your specific coding needs.
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
o4-mini is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 66.5% across 14 benchmarks. It excels particularly in AIME 2024 (93.4%), AIME 2025 (92.7%), MathVista (84.3%). It supports a 300K 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. Released in 2025, it represents OpenAI's latest advancement in AI technology.
3 months newer
o4-mini
OpenAI
2025-04-16
GLM-4.5
Zhipu AI
2025-07-28
Cost per million tokens (USD)
GLM-4.5
o4-mini
Context window and performance specifications
Average performance across 22 common benchmarks
GLM-4.5
o4-mini
o4-mini
2024-05-31
Available providers and their performance metrics
GLM-4.5
DeepInfra
Novita
ZeroEval
o4-mini
GLM-4.5
o4-mini
GLM-4.5
o4-mini
OpenAI