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GLM-4.5V vs GPT-5 nano
Comprehensive side-by-side LLM comparison
GPT-5 nano offers 331.4K more tokens in context window than GLM-4.5V. GPT-5 nano is $2.35 cheaper per million tokens. Both models have their strengths depending on your specific coding needs.
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Zhipu AI
GLM-4.5V is a multimodal language model developed by Zhipu AI. It supports a 197K 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. 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-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.
4 days newer
GPT-5 nano
OpenAI
2025-08-07
GLM-4.5V
Zhipu AI
2025-08-11
Pricing Comparison
Cost per million tokens (USD)
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GLM-4.5V
Input:$0.60
Output:$2.20
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GPT-5 nano
Input:$0.05
Output:$0.40($2.35 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 5 common benchmarks
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GLM-4.5V
Average Score:0.0%
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GPT-5 nano
Average Score:50.1%(+50.1%)
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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-4.5V
2 providers
Novita
ZeroEval
Throughput: 85 tok/s
Latency: 0.7ms
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GPT-5 nano
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GLM-4.5V
Avg Score:0.0%
Providers:2
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GPT-5 nano
Avg Score:50.1%(+50.1%)
Providers:2