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GPT-5 nano vs QwQ-32B
Comprehensive side-by-side LLM comparison
QwQ-32B leads with 24.7% higher average benchmark score. GPT-5 nano supports multimodal inputs. GPT-5 nano is available on 2 providers. Overall, QwQ-32B 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
QwQ-32B is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 74.6% across 7 benchmarks. It excels particularly in MATH-500 (90.6%), IFEval (83.9%), AIME 2024 (79.5%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
5 months newer
QwQ-32B
Alibaba Cloud / Qwen Team
2025-03-05
GPT-5 nano
OpenAI
2025-08-07
Performance Metrics
Context window and performance specifications
Average performance across 11 common benchmarks
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GPT-5 nano
Average Score:22.8%
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QwQ-32B
Average Score:47.5%(+24.7%)
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Knowledge Cutoff
Training data recency comparison
GPT-5 nano
2024-05-30
QwQ-32B
2024-11-28
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:22.8%
Providers:2
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QwQ-32B
Avg Score:47.5%(+24.7%)
Providers:0