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GLM-4.5 vs GPT-4.1 nano
Comprehensive side-by-side LLM comparison
GLM-4.5 leads with 1.2% higher average benchmark score. GPT-4.1 nano offers 818.2K more tokens in context window than GLM-4.5. GPT-4.1 nano is $1.50 cheaper per million tokens. GPT-4.1 nano supports multimodal inputs. GLM-4.5 is available on 3 providers. Both models have their strengths depending on your specific coding needs.
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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.
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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
Zhipu AI
2025-07-28
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-4.1 nano
Input:$0.10
Output:$0.40($1.50 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 35 common benchmarks
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GLM-4.5
Average Score:25.6%(+1.2%)
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GPT-4.1 nano
Average Score:24.4%
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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
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GLM-4.5
3 providers
DeepInfra
Novita
ZeroEval
Throughput: 85 tok/s
Latency: 0.7ms
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GPT-4.1 nano
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GLM-4.5
Avg Score:25.6%(+1.2%)
Providers:3
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GPT-4.1 nano
Avg Score:24.4%
Providers:1