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GPT-4.1 nano vs QwQ-32B
Comprehensive side-by-side LLM comparison
GPT-4.1 nano leads with 11.5% higher average benchmark score. GPT-4.1 nano supports multimodal inputs. Overall, GPT-4.1 nano is the stronger choice for coding tasks.
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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.
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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.
1 month newer
QwQ-32B
Alibaba Cloud / Qwen Team
2025-03-05
GPT-4.1 nano
OpenAI
2025-04-14
Performance Metrics
Context window and performance specifications
Average performance across 29 common benchmarks
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GPT-4.1 nano
Average Score:29.5%(+11.5%)
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QwQ-32B
Average Score:18.0%
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Knowledge Cutoff
Training data recency comparison
GPT-4.1 nano
2024-05-31
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-4.1 nano
1 providers
OpenAI
Throughput: 200 tok/s
Latency: 2ms
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QwQ-32B
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GPT-4.1 nano
Avg Score:29.5%(+11.5%)
Providers:1
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QwQ-32B
Avg Score:18.0%
Providers:0