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GLM-4.5 vs GPT-5 nano
Comprehensive side-by-side LLM comparison
GLM-4.5 leads with 7.9% 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.
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Zhipu AI
GLM-4.5 was developed by Zhipu AI as an advanced bilingual language model, designed to excel at both Chinese and English language tasks. Built to serve diverse applications across multiple languages, it represents Zhipu AI's commitment to multilingual AI capabilities.
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OpenAI
GPT-5 Nano was developed as the most compact variant in the GPT-5 family, designed for deployment in resource-constrained environments and edge computing scenarios. Built to bring next-generation AI capabilities to devices and applications where latency and efficiency are paramount, it distills GPT-5 innovations into a minimal footprint.
10 days newer
GLM-4.5
Zhipu AI
2025-07-28
GPT-5 nano
OpenAI
2025-08-07
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Pricing Comparison
Cost per million tokens (USD)
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GLM-4.5
Input:$0.40
Output:$1.60
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GPT-5 nano
Input:$0.05
Output:$0.40($1.55 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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GLM-4.5
Average Score:79.1%(+7.9%)
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GPT-5 nano
Average Score:71.2%
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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
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GLM-4.5
3 providers
DeepInfra
Novita
ZeroEval
Throughput: 85 tok/s
Latency: 0.7ms
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GPT-5 nano
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GLM-4.5
Avg Score:79.1%(+7.9%)
Providers:3
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GPT-5 nano
Avg Score:71.2%
Providers:2