Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance

GPT-4.1 nano
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.

QwQ-32B
Alibaba
QwQ-32B is a language model developed by Alibaba. 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's latest advancement in AI technology.

QwQ-32B
Alibaba
2025-03-05

GPT-4.1 nano
OpenAI
2025-04-14
1 month newer
Performance Metrics
Context window and performance specifications

GPT-4.1 nano

QwQ-32B
Average performance across 3 common benchmarks

GPT-4.1 nano

QwQ-32B
Performance comparison across key benchmark categories

GPT-4.1 nano

QwQ-32B
GPT-4.1 nano
2024-05-31
QwQ-32B
2024-11-28
Provider Availability & Performance
Available providers and their performance metrics

GPT-4.1 nano
OpenAI

QwQ-32B

GPT-4.1 nano

QwQ-32B