+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
GLM-4.5 vs GPT-5 nano
Comprehensive side-by-side LLM comparison
GLM-4.5 leads with 35.8% higher average benchmark score. GPT-5 nano offers 265.9K more tokens in context window than GLM-4.5. GPT-5 nano is $1.55 cheaper per million tokens. GPT-5 nano supports multimodal inputs. 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.
+
+
+
+
OpenAI
GPT-5 nano is a multimodal language model developed by OpenAI. The model shows competitive results across 5 benchmarks. It excels particularly in AIME 2025 (85.2%), HMMT 2025 (75.6%), GPQA (71.2%). It supports a 528K 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. Released in 2025, it represents OpenAI's latest advancement in AI technology.
10 days newer
GLM-4.5
Zhipu AI
2025-07-28
GPT-5 nano
OpenAI
2025-08-07
Pricing Comparison
Cost per million tokens (USD)
+
+
+
+
GLM-4.5
Input:$0.40
Output:$1.60
+
+
+
+
GPT-5 nano
Input:$0.05
Output:$0.40($1.55 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 18 common benchmarks
+
+
+
+
GLM-4.5
Average Score:49.8%(+35.8%)
+
+
+
+
GPT-5 nano
Average Score:13.9%
+
+
+
+
Knowledge Cutoff
Training data recency comparison
GPT-5 nano
2024-05-30
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
GLM-4.5
3 providers
DeepInfra
Novita
ZeroEval
Throughput: 85 tok/s
Latency: 0.7ms
+
+
+
+
GPT-5 nano
+
+
+
+
GLM-4.5
Avg Score:49.8%(+35.8%)
Providers:3
+
+
+
+
GPT-5 nano
Avg Score:13.9%
Providers:2