+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
GLM-4.5-Air vs GPT-4.1 nano
Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. GPT-4.1 nano supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
+
+
+
+
Zhipu AI
GLM-4.5-Air is a language model developed by Zhipu AI. It achieves strong performance with an average score of 60.8% across 14 benchmarks. It excels particularly in MATH-500 (98.1%), AIME 2024 (89.4%), MMLU-Pro (81.4%). 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 nano is a multimodal language model developed by OpenAI. The model shows competitive results across 25 benchmarks. It excels particularly in MMLU (80.1%), IFEval (74.5%), CharXiv-D (73.9%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. 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
GPT-4.1 nano
OpenAI
2025-04-14
GLM-4.5-Air
Zhipu AI
2025-07-28
Performance Metrics
Context window and performance specifications
Average performance across 35 common benchmarks
+
+
+
+
GLM-4.5-Air
Average Score:24.3%
+
+
+
+
GPT-4.1 nano
Average Score:24.4%(+0.1%)
+
+
+
+
Knowledge Cutoff
Training data recency comparison
GPT-4.1 nano
2024-05-31
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
GLM-4.5-Air
0 providers
+
+
+
+
GPT-4.1 nano
1 providers
OpenAI
Throughput: 200 tok/s
+
+
+
+
GLM-4.5-Air
Avg Score:24.3%
Providers:0
+
+
+
+
GPT-4.1 nano
Avg Score:24.4%(+0.1%)
Providers:1