Comprehensive side-by-side LLM comparison
GPT-4.1 nano leads with 22.2% higher average benchmark score. GPT-4.1 nano offers 1.0M more tokens in context window than QwQ-32B-Preview. Both models have similar pricing. GPT-4.1 nano supports multimodal inputs. QwQ-32B-Preview is available on 4 providers. Overall, GPT-4.1 nano is the stronger choice for coding tasks.
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.
Alibaba Cloud / Qwen Team
QwQ-32B-Preview is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 64.0% across 4 benchmarks. It excels particularly in MATH-500 (90.6%), GPQA (65.2%), AIME 2024 (50.0%). The model is available through 4 API providers. 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.
4 months newer
QwQ-32B-Preview
Alibaba Cloud / Qwen Team
2024-11-28
GPT-4.1 nano
OpenAI
2025-04-14
Cost per million tokens (USD)
GPT-4.1 nano
QwQ-32B-Preview
Context window and performance specifications
Average performance across 27 common benchmarks
GPT-4.1 nano
QwQ-32B-Preview
GPT-4.1 nano
2024-05-31
QwQ-32B-Preview
2024-11-28
Available providers and their performance metrics
GPT-4.1 nano
OpenAI
QwQ-32B-Preview
GPT-4.1 nano
QwQ-32B-Preview
GPT-4.1 nano
QwQ-32B-Preview
DeepInfra
Fireworks
Hyperbolic
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