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GPT-5 nano vs QvQ-72B-Preview
Comprehensive side-by-side LLM comparison
GPT-5 nano leads with 5.8% higher average benchmark score. GPT-5 nano is available on 2 providers. Overall, GPT-5 nano is the stronger choice for coding tasks.
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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.
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Alibaba Cloud / Qwen Team
QvQ-72B-Preview is a multimodal language model developed by Alibaba Cloud / Qwen Team. The model shows competitive results across 4 benchmarks. Notable strengths include MathVista (71.4%), MMMU (70.3%), MathVision (35.9%). 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 2024, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
7 months newer
QvQ-72B-Preview
Alibaba Cloud / Qwen Team
2024-12-25
GPT-5 nano
OpenAI
2025-08-07
Performance Metrics
Context window and performance specifications
Average performance across 9 common benchmarks
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GPT-5 nano
Average Score:27.8%(+5.8%)
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QvQ-72B-Preview
Average Score:22.0%
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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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GPT-5 nano
2 providers
OpenAI
Throughput: 500 tok/s
Latency: 0.3ms
ZeroEval
Throughput: 500 tok/s
Latency: 0.3ms
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GPT-5 nano
Avg Score:27.8%(+5.8%)
Providers:2
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QvQ-72B-Preview
Avg Score:22.0%
Providers:0